diff --git a/2-farm/README.md b/2-farm/README.md index e974f528..779b7acf 100644 --- a/2-farm/README.md +++ b/2-farm/README.md @@ -4,7 +4,7 @@ As the population grows, so does the demand on agriculture. The amount of land a In these 6 lessons you'll learn how to apply the Internet of Things to improve and automate farming. -> 💁 These lessons will use some cloud resources. If you don't complete all the lessons in this project, make sure you follow the [Clean up your project](lessons/6-keep-your-plant-secure/README.md#clean-up-your-project) step in [lesson 6](lessons/6-keep-your-plant-secure/README.md). +> 💁 These lessons will use some cloud resources. If you don't complete all the lessons in this project, make sure you [Clean up your project](../clean-up.md). **Add video of automated plant** diff --git a/4-manufacturing/lessons/1-train-fruit-detector/README.md b/4-manufacturing/lessons/1-train-fruit-detector/README.md index 938ff3a4..7be9143a 100644 --- a/4-manufacturing/lessons/1-train-fruit-detector/README.md +++ b/4-manufacturing/lessons/1-train-fruit-detector/README.md @@ -144,7 +144,7 @@ To use Custom Vision, you first need to create two cognitive services resources 1. Launch the Custom Vision portal at [CustomVision.ai](https://customvision.ai), and sign in with the Microsoft account you used for your Azure account. -1. Follow the [Create a new Project section of the Build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#create-a-new-project) to create a new Custom Vision project. The UI may change and these docs are always the most up to date reference. +1. Follow the [create a new Project section of the build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#create-a-new-project) to create a new Custom Vision project. The UI may change and these docs are always the most up to date reference. Call your project `fruit-quality-detector`. @@ -178,11 +178,11 @@ Image classifiers run at very low resolution. For example Custom Vision can take If you don't have both ripe and unripe fruit, you can use different fruits, or any two objects you have available. You can also find some example images in the [images](./images) folder of ripe and unripe bananas that you can use. -1. Follow the [Upload and tag images section of the Build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#upload-and-tag-images) to upload your training images. Tag the ripe fruit as `ripe`, and the unripe fruit as `unripe`. +1. Follow the [upload and tag images section of the build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#upload-and-tag-images) to upload your training images. Tag the ripe fruit as `ripe`, and the unripe fruit as `unripe`. ![The upload dialogs showing the upload of ripe and unripe banana pictures](../../../images/image-upload-bananas.png) -1. Follow the [Train the classifier section of the Build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#train-the-classifier) to train the image classifier on your uploaded images. +1. Follow the [train the classifier section of the build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#train-the-classifier) to train the image classifier on your uploaded images. You will be given a choice of training type. Select **Quick Training**. @@ -196,7 +196,7 @@ Once your classifier is trained, you can test it by giving it a new image to cla ### Task - test your image classifier -1. Follow the [Test your model documentation on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/test-your-model?WT.mc_id=academic-17441-jabenn#test-your-model) to test your image classifier. Use the testing images you created earlier, not any of the images you used for training. +1. Follow the [test your model documentation on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/test-your-model?WT.mc_id=academic-17441-jabenn#test-your-model) to test your image classifier. Use the testing images you created earlier, not any of the images you used for training. ![A unripe banana predicted as unripe with a 98.9% probability, ripe with a 1.1% probability](../../../images/banana-unripe-quick-test-prediction.png) @@ -210,7 +210,7 @@ Every time you make a prediction using the quick test option, the image and resu ### Task - retrain your image classifier -1. Follow the [Use the predicted image for training documentation on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/test-your-model?WT.mc_id=academic-17441-jabenn#use-the-predicted-image-for-training) to retrain your model, using the correct tag for each image. +1. Follow the [use the predicted image for training documentation on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/test-your-model?WT.mc_id=academic-17441-jabenn#use-the-predicted-image-for-training) to retrain your model, using the correct tag for each image. 1. Once you model has been retrained, test on new images. @@ -228,8 +228,8 @@ Try it out and see what the predictions are. You can find images to try with usi ## Review & Self Study -* When you trained your classifier, you would have seen values for *Precision*, *Recall*, and *AP* that rate the model that was created. Read up on what these values are using [the Evaluate the classifier section of the Build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#evaluate-the-classifier) -* Read up on how to improve your classifier from the [How to improve your Custom Vision model on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-improving-your-classifier?WT.mc_id=academic-17441-jabenn) +* When you trained your classifier, you would have seen values for *Precision*, *Recall*, and *AP* that rate the model that was created. Read up on what these values are using [the evaluate the classifier section of the build a classifier quickstart on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier?WT.mc_id=academic-17441-jabenn#evaluate-the-classifier) +* Read up on how to improve your classifier from the [how to improve your Custom Vision model on the Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/getting-started-improving-your-classifier?WT.mc_id=academic-17441-jabenn) ## Assignment diff --git a/4-manufacturing/lessons/2-check-fruit-from-device/README.md b/4-manufacturing/lessons/2-check-fruit-from-device/README.md index fe522c07..35ee1d0b 100644 --- a/4-manufacturing/lessons/2-check-fruit-from-device/README.md +++ b/4-manufacturing/lessons/2-check-fruit-from-device/README.md @@ -149,7 +149,7 @@ If you were to create a production device to sell to farms or factories, how wou You trained your custom vision model using the portal. This relies on having images available - and in the real world you may not be able to get training data that matches what the camera on your device captures. You can work round this by training directly from your device using the training API, to train a model using images captured from your IoT device. -* Read up on the training API in the [Using the Custom Vision SDK quick start](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/quickstarts/image-classification?tabs=visual-studio&pivots=programming-language-python&WT.mc_id=academic-17441-jabenn) +* Read up on the training API in the [using the Custom Vision SDK quick start](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/quickstarts/image-classification?tabs=visual-studio&pivots=programming-language-python&WT.mc_id=academic-17441-jabenn) ## Assignment diff --git a/4-manufacturing/lessons/2-check-fruit-from-device/single-board-computer-classify-image.md b/4-manufacturing/lessons/2-check-fruit-from-device/single-board-computer-classify-image.md index 41b6994c..109f1e4e 100644 --- a/4-manufacturing/lessons/2-check-fruit-from-device/single-board-computer-classify-image.md +++ b/4-manufacturing/lessons/2-check-fruit-from-device/single-board-computer-classify-image.md @@ -1,6 +1,6 @@ # Classify an image - Virtual IoT Hardware and Raspberry Pi -In this part of the lesson, you will add send the image captured by the camera to the Custom Vision service to classify it. +In this part of the lesson, you will send the image captured by the camera to the Custom Vision service to classify it. ## Send images to Custom Vision @@ -25,7 +25,7 @@ The Custom Vision service has a Python SDK you can use to classify images. This brings in some modules from the Custom Vision libraries, one to authenticate with the prediction key, and one to provide a prediction client class that can call Custom Vision. -1. Add the following code to to the end of the file: +1. Add the following code to the end of the file: ```python prediction_url = '' @@ -86,6 +86,6 @@ The Custom Vision service has a Python SDK you can use to classify images. ![A banana in custom vision predicted ripe at 56.8% and unripe at 43.1%](../../../images/custom-vision-banana-prediction.png) -> 💁 You can find this code in the [code-classify/pi](code-classify/pi) or [code-classify/virtual-device](code-classify/virtual-device) folder. +> 💁 You can find this code in the [code-classify/pi](code-classify/pi) or [code-classify/virtual-iot-device](code-classify/virtual-iot-device) folder. 😀 Your fruit quality classifier program was a success! diff --git a/4-manufacturing/lessons/2-check-fruit-from-device/virtual-device-camera.md b/4-manufacturing/lessons/2-check-fruit-from-device/virtual-device-camera.md index 806b942f..a6802ce3 100644 --- a/4-manufacturing/lessons/2-check-fruit-from-device/virtual-device-camera.md +++ b/4-manufacturing/lessons/2-check-fruit-from-device/virtual-device-camera.md @@ -101,7 +101,7 @@ Program the device. > 💁 You can capture the image directly to a file instead of a `BytesIO` object by passing the file name to the `camera.capture` call. The reason for using the `BytesIO` object is so that later in this lesson you can send the image to your image classifier. -1. Configure the image that the camera in CounterFit will capture. You can either set the *Source* to *File*, then upload an image file, or set the *Source* to *WebCam*, and images will be captures from your web cam. Make sure you select the **Set** button after selecting a picture or selecting your webcam. +1. Configure the image that the camera in CounterFit will capture. You can either set the *Source* to *File*, then upload an image file, or set the *Source* to *WebCam*, and images will be captured from your web cam. Make sure you select the **Set** button after selecting a picture or selecting your webcam. ![CounterFit with a file set as the image source, and a web cam set showing a person holding a banana in a preview of the webcam](../../../images/counterfit-camera-options.png) diff --git a/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md b/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md index 8323de3b..877603a1 100644 --- a/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md +++ b/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-camera.md @@ -10,7 +10,7 @@ The camera you'll use is an [ArduCam Mini 2MP Plus](https://www.arducam.com/prod ## Connect the camera -The ArduCam doesn't have a Grove socket, instead it connects to both the SPI and I2C busses via the GPIO pins on the Wio Terminal. +The ArduCam doesn't have a Grove socket, instead it connects to both the SPI and I2C buses via the GPIO pins on the Wio Terminal. ### Task - connect the camera diff --git a/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-classify-image.md b/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-classify-image.md index 6a646ef4..36de4315 100644 --- a/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-classify-image.md +++ b/4-manufacturing/lessons/2-check-fruit-from-device/wio-terminal-classify-image.md @@ -1,10 +1,10 @@ # Classify an image - Wio Terminal -In this part of the lesson, you will add send the image captured by the camera to the Custom Vision service to classify it. +In this part of the lesson, you will send the image captured by the camera to the Custom Vision service to classify it. ## Classify an image -The Custom Vision service has a REST API you can call from the Wio Terminal use to classify images. THis REST API is accessed over an HTTPS connection - a secure HTTP connection. +The Custom Vision service has a REST API you can call from the Wio Terminal use to classify images. This REST API is accessed over an HTTPS connection - a secure HTTP connection. When interacting with HTTPS endpoints, the client code needs to request the public key certificate from the server being accessed, and use that to encrypt the traffic it sends. Your web browser does this automatically, but microcontrollers do not. You will need to request this certificate manually and use it to create a secure connection to the REST API. These certificates don't change, so once you have a certificate, it can be hard coded in your application. diff --git a/4-manufacturing/lessons/4-trigger-fruit-detector/README.md b/4-manufacturing/lessons/4-trigger-fruit-detector/README.md index b358d2b2..7fdef5e3 100644 --- a/4-manufacturing/lessons/4-trigger-fruit-detector/README.md +++ b/4-manufacturing/lessons/4-trigger-fruit-detector/README.md @@ -74,7 +74,7 @@ As you define the architecture of your system, you need to constantly consider d ## Design a fruit quality control system -Lets now take this idea of things, insights, and actions and apply it to our fruit quality detector to design a larger end-to-end application. +Let's now take this idea of things, insights, and actions and apply it to our fruit quality detector to design a larger end-to-end application. Imagine you have been given the task of building a fruit quality detector to be used in a processing plant. Fruit travels on a conveyer belt system where currently employees spend time checking the fruit by hand and removing any unripe fruit as it arrives. To reduce costs, the plant owner wants an automated system. @@ -205,7 +205,7 @@ The prototype will form the basis of a final production system. Some of the diff ## 🚀 Challenge -In this lesson you have learned some of the concepts you need to know to architect an IoT system. Think back to the previous projects. How would do they fit into the reference architecture shown above? +In this lesson you have learned some of the concepts you need to know on how to architect an IoT system. Think back to the previous projects. How would do they fit into the reference architecture shown above? Pick one of the projects so far and think of the design of a more complicated solution bringing together multiple capabilities beyond what was covered in the projects. Draw the architecture and think of all the devices and services you would need. @@ -218,7 +218,7 @@ For example - a vehicle tracking device that combines GPS with sensors to monito ## Review & Self Study * Read more about IoT architecture on the [Azure IoT reference architecture documentation on Microsoft docs](https://docs.microsoft.com/azure/architecture/reference-architectures/iot?WT.mc_id=academic-17441-jabenn) -* Read more about device twins in the [Understand and use device twins in IoT Hub documentation on Microsoft docs](https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-device-twins?WT.mc_id=academic-17441-jabenn) +* Read more about device twins in the [understand and use device twins in IoT Hub documentation on Microsoft docs](https://docs.microsoft.com/azure/iot-hub/iot-hub-devguide-device-twins?WT.mc_id=academic-17441-jabenn) * Read about OPC-UA, a machine to machine communication protocol used in industrial automation on the [OPC-UA page on Wikipedia](https://wikipedia.org/wiki/OPC_Unified_Architecture) ## Assignment diff --git a/4-manufacturing/lessons/4-trigger-fruit-detector/pi-proximity.md b/4-manufacturing/lessons/4-trigger-fruit-detector/pi-proximity.md index 254f23e9..35c7740a 100644 --- a/4-manufacturing/lessons/4-trigger-fruit-detector/pi-proximity.md +++ b/4-manufacturing/lessons/4-trigger-fruit-detector/pi-proximity.md @@ -40,6 +40,12 @@ Program the device. 1. Open the `fruit-quality-detector` code in VS Code, either directly on the Pi, or connect via the Remote SSH extension. +1. Install the rpi-vl53l0x Pip package, a Python package that interacts with a VL53L0X time-of-flight distance sensor. Install it using this pip command + + ```sh + pip install rpi-vl53l0x + ``` + 1. Create a new file in this project called `distance-sensor.py`. > 💁 An easy way to simulate multiple IoT devices is to do each in a different Python file, then run them at the same time. @@ -95,4 +101,4 @@ Program the device. > 💁 You can find this code in the [code-proximity/pi](code-proximity/pi) folder. -😀 Your proximity sensor program was a success! \ No newline at end of file +😀 Your proximity sensor program was a success! diff --git a/hardware.md b/hardware.md index 896ff745..f8f9df06 100644 --- a/hardware.md +++ b/hardware.md @@ -16,7 +16,7 @@ You will also need a few non-technical items, such as soil or a pot plant, and f Seeed Studios have very kindly made all the hardware available as easy to purchase kits: -* [IoT for beginners with Seeed and Microsoft - Wio Terminal Starter Kit]() +* [IoT for beginners with Seeed and Microsoft - Wio Terminal Starter Kit](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Wio-Terminal-Starter-Kit-p-5006.html) * [IoT for beginners with Seeed and Microsoft - Raspberry Pi 4 Starter Kit](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Raspberry-Pi-Starter-Kit.html) ## Arduino diff --git a/images/seeed-logo.png b/images/seeed-logo.png index 53526172..68348445 100644 Binary files a/images/seeed-logo.png and b/images/seeed-logo.png differ diff --git a/quiz-app/src/assets/translations/bn.json b/quiz-app/src/assets/translations/bn.json new file mode 100644 index 00000000..737d911f --- /dev/null +++ b/quiz-app/src/assets/translations/bn.json @@ -0,0 +1,1017 @@ +[ + { + "title": "āĻŦāĻŋāĻ—āĻŋāĻ¨āĻžāĻ°āĻĻā§‡āĻ° āĻœāĻ¨ā§āĻ¯ āĻ†āĻ‡āĻ“āĻŸāĻŋ: āĻ•ā§āĻ‡āĻœ", + "complete": "āĻ…āĻ­āĻŋāĻ¨āĻ¨ā§āĻĻāĻ¨, āĻ•ā§āĻ‡āĻœ āĻ¸āĻĢāĻ˛āĻ­āĻžāĻŦā§‡ āĻ¸āĻŽā§āĻĒā§‚āĻ°ā§āĻŖ āĻšā§Ÿā§‡āĻ›ā§‡ !", + "error": "āĻĻā§āĻƒāĻ–āĻŋāĻ¤, āĻ†āĻŦāĻžāĻ° āĻšā§‡āĻˇā§āĻŸāĻž āĻ•āĻ°ā§āĻ¨", + "quizzes": [ + { + "id": 1, + "title": "āĻ˛ā§‡āĻ¸āĻ¨:ā§§ - āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĒāĻ°āĻŋāĻšāĻŋāĻ¤āĻŋ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "IoT āĻļāĻŦā§āĻĻā§‡ I āĻĻā§āĻŦāĻžāĻ°āĻž āĻŦā§‹āĻāĻžāĻ¨ā§‹ āĻšā§Ÿ :", + "answerOptions": [ + { + "answerText": "Internet(āĻ‡āĻ¨ā§āĻŸāĻžāĻ°āĻ¨ā§‡āĻŸ)", + "isCorrect": "true" + }, + { + "answerText": "Iridium(āĻ‡āĻ°āĻŋāĻĄāĻŋā§ŸāĻžāĻŽ)", + "isCorrect": "false" + }, + { + "answerText": "Ironing(āĻ†ā§ŸāĻ°āĻ¨āĻŋāĻ‚)", + "isCorrect": "false" + } + ] + }, + { + "questionText": "ā§¨ā§Ļā§¨ā§Ļ āĻāĻ° āĻļā§‡āĻˇā§‡ āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ā§‡āĻ° āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ°ā§‡āĻ° āĻ†āĻ¨ā§āĻŽāĻžāĻ¨āĻŋāĻ• āĻ¸āĻ‚āĻ–ā§āĻ¯āĻž āĻ•āĻ¤?", + "answerOptions": [ + { + "answerText": "ā§Šā§Ļ", + "isCorrect": "false" + }, + { + "answerText": "ā§Šā§Ļ āĻŽāĻŋāĻ˛āĻŋā§ŸāĻ¨", + "isCorrect": "false" + }, + { + "answerText": "ā§Šā§Ļ āĻŦāĻŋāĻ˛āĻŋā§ŸāĻ¨", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ¸ā§āĻŽāĻžāĻ°ā§āĻŸāĻĢā§‹āĻ¨ āĻšāĻ˛ā§‹ āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 2, + "title": "āĻ˛ā§‡āĻ¸āĻ¨:ā§§ - āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĒāĻ°āĻŋāĻšāĻŋāĻ¤āĻŋ : āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋāĻ•ā§‡ āĻ¸āĻ°ā§āĻŦāĻĻāĻž āĻ‡āĻ¨ā§āĻŸāĻžāĻ°āĻ¨ā§‡āĻŸā§‡ āĻ¸āĻ‚āĻ¯ā§āĻ•ā§āĻ¤ āĻĨāĻžāĻ•āĻž āĻĻāĻ°āĻ•āĻžāĻ°", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻ¸āĻ°ā§āĻŦāĻžāĻŦāĻ¸ā§āĻĨāĻžā§Ÿ āĻ¸ā§āĻ°āĻ•ā§āĻˇāĻŋāĻ¤", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ•āĻŽ āĻĒāĻžāĻ“ā§ŸāĻžāĻ°ā§‡ āĻšāĻžāĻ˛āĻŋāĻ¤ āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ā§‡ āĻ†āĻ°ā§āĻŸāĻŋāĻĢāĻŋāĻļāĻŋā§ŸāĻžāĻ˛ āĻ‡āĻ¨ā§āĻŸā§‡āĻ˛āĻŋāĻœā§‡āĻ¨ā§āĻ¸ āĻšāĻžāĻ˛āĻžāĻ¨ā§‹ āĻ¯ā§‡āĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 3, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§¨ - IoT āĻāĻ° āĻ†āĻ°ā§‹ āĻ—āĻ­ā§€āĻ°ā§‡ : āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "IoT āĻļāĻŦā§āĻĻā§‡ T āĻŦāĻ˛āĻ¤ā§‡ āĻŦā§‹āĻāĻžāĻ¨ā§‹ āĻšā§Ÿ:", + "answerOptions": [ + { + "answerText": "Transistors(āĻŸā§āĻ°āĻžāĻ¨āĻœāĻŋāĻ¸ā§āĻŸāĻ°)", + "isCorrect": "false" + }, + { + "answerText": "Things(āĻĨāĻŋāĻ‚āĻ¸)", + "isCorrect": "true" + }, + { + "answerText": "Turkeys(āĻŸāĻžāĻ°ā§āĻ•āĻŋāĻ¸)", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻ¤āĻžāĻĻā§‡āĻ° āĻšāĻžāĻ°āĻĒāĻžāĻļā§‡āĻ° āĻŦāĻŋāĻļā§āĻŦ āĻĨā§‡āĻ•ā§‡ āĻ¤āĻĨā§āĻ¯ āĻ¸āĻ‚āĻ—ā§āĻ°āĻš āĻ•āĻ°āĻ¤ā§‡ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°ā§‡ :", + "answerOptions": [ + { + "answerText": "āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°", + "isCorrect": "true" + }, + { + "answerText": "āĻ…ā§āĻ¯āĻžāĻ•āĻšā§ā§Ÿā§‡āĻŸāĻ°", + "isCorrect": "false" + }, + { + "answerText": "āĻŦāĻžāĻ°ā§āĻ¤āĻžāĻŦāĻžāĻšā§€ āĻ•āĻŦā§āĻ¤āĻ°", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻ—āĻĄāĻŧāĻĒā§œāĻ¤āĻž āĻĄā§‡āĻ¸ā§āĻ•āĻŸāĻĒ āĻŦāĻž āĻ˛ā§āĻ¯āĻžāĻĒāĻŸāĻĒ āĻ•āĻŽā§āĻĒāĻŋāĻ‰āĻŸāĻžāĻ°ā§‡āĻ° āĻšā§‡āĻ¯āĻŧā§‡ āĻŦā§‡āĻļāĻŋ āĻĒāĻžāĻ“ā§ŸāĻžāĻ° āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 4, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§¨ - IoT āĻāĻ° āĻ†āĻ°ā§‹ āĻ—āĻ­ā§€āĻ°ā§‡ : āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ¸āĻŋāĻĒāĻŋāĻ‡āĻ‰ āĻ¨āĻŋāĻ°ā§āĻĻā§‡āĻļāĻšāĻ•ā§āĻ°ā§‡āĻ° (instruction cycle) āĻ¤āĻŋāĻ¨āĻŸāĻŋ āĻ§āĻžāĻĒ āĻšāĻ˛:", + "answerOptions": [ + { + "answerText": "āĻĄāĻŋāĻ•ā§‹āĻĄ, āĻāĻ•ā§āĻ¸āĻŋāĻ•āĻŋāĻ‰āĻŸ, āĻĢā§‡āĻš", + "isCorrect": "false" + }, + { + "answerText": " āĻĢā§‡āĻš, āĻĄāĻŋāĻ•ā§‹āĻĄ, āĻāĻ•ā§āĻ¸āĻŋāĻ•āĻŋāĻ‰āĻŸ", + "isCorrect": "true" + }, + { + "answerText": "āĻĨāĻžāĻŽāĻž, āĻ•ā§‹āĻ˛āĻžāĻŦā§‹āĻ°ā§‡āĻŸ āĻ•āĻ°āĻž, āĻļā§‹āĻ¨āĻž", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ°āĻžāĻ¸ā§āĻĒāĻŦā§‡āĻ°āĻŋ āĻĒāĻžāĻ‡ āĻ•ā§‹āĻ¨ āĻ…āĻĒāĻžāĻ°ā§‡āĻŸāĻŋāĻ‚ āĻ¸āĻŋāĻ¸ā§āĻŸā§‡āĻŽ āĻ°āĻžāĻ¨ āĻ•āĻ°ā§‡?", + "answerOptions": [ + { + "answerText": "āĻ•ā§‹āĻ¨ āĻ…āĻĒāĻžāĻ°ā§‡āĻŸāĻŋāĻ‚ āĻ¸āĻŋāĻ¸ā§āĻŸā§‡āĻŽ āĻ°āĻžāĻ¨ āĻ•āĻ°ā§‡āĻ¨āĻž ", + "isCorrect": "false" + }, + { + "answerText": "āĻ‰āĻ‡āĻ¨ā§āĻĄā§‹āĻœ ā§¯ā§Ģ", + "isCorrect": "false" + }, + { + "answerText": "āĻ°āĻžāĻ¸ā§āĻĒāĻŦā§‡āĻ°āĻŋ āĻĒāĻžāĻ‡ āĻ“āĻāĻ¸", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻ¸āĻžāĻ§āĻžāĻ°āĻŖāĻ¤ āĻĻā§āĻ°ā§āĻ¤ āĻšāĻ˛ā§‡ āĻāĻŦāĻ‚ āĻ¸āĻžāĻ§āĻžāĻ°āĻŖ āĻĄā§‡āĻ¸ā§āĻ•āĻŸāĻĒ āĻŦāĻž āĻ˛ā§āĻ¯āĻžāĻĒāĻŸāĻĒ āĻ•āĻŽā§āĻĒāĻŋāĻ‰āĻŸāĻžāĻ°ā§‡āĻ° āĻšā§‡āĻ¯āĻŧā§‡ āĻŦā§‡āĻļāĻŋ āĻŽā§‡āĻŽā§‹āĻ°āĻŋ āĻĨāĻžāĻ•ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 5, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Š - āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ° āĻāĻŦāĻ‚ āĻ…ā§āĻ¯āĻžāĻ•āĻšā§ā§Ÿā§‡āĻŸāĻ°ā§‡āĻ° āĻ¸āĻžāĻšāĻžāĻ¯ā§āĻ¯ā§‡ āĻŦāĻžāĻšā§āĻ¯āĻŋāĻ• āĻœāĻ—āĻ¤ā§‡āĻ° āĻ¸āĻžāĻĨā§‡ āĻ¯ā§‹āĻ—āĻžāĻ¯ā§‹āĻ—: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻāĻ˛āĻ‡āĻĄāĻŋ āĻāĻ•āĻ§āĻ°āĻŖā§‡āĻ° āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°:", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ° āĻŦā§āĻ¯āĻŦāĻšā§ƒāĻ¤ āĻšā§Ÿ:", + "answerOptions": [ + { + "answerText": "āĻŦāĻžāĻšā§āĻ¯āĻŋāĻ• āĻœāĻ—āĻ¤ā§‡āĻ° āĻĄā§‡āĻŸāĻž āĻ¸āĻ‚āĻ—ā§āĻ°āĻš āĻ•āĻ°āĻ¤ā§‡ ", + "isCorrect": "true" + }, + { + "answerText": "āĻŦāĻžāĻšā§āĻ¯āĻŋāĻ• āĻœāĻ—āĻ¤āĻ•ā§‡ āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ āĻ•āĻ°āĻ¤ā§‡", + "isCorrect": "false" + }, + { + "answerText": "āĻļā§āĻ§ā§ āĻ¤āĻžāĻĒāĻŽāĻžāĻ¤ā§āĻ°āĻž āĻŽāĻžāĻĒāĻ¤ā§‡", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ…ā§āĻ¯āĻžāĻ•āĻšā§ā§Ÿā§‡āĻŸāĻ° āĻŦā§āĻ¯āĻŦāĻšā§ƒāĻ¤ āĻšā§Ÿ:", + "answerOptions": [ + { + "answerText": "āĻŦāĻžāĻšā§āĻ¯āĻŋāĻ• āĻœāĻ—āĻ¤ā§‡āĻ° āĻĄā§‡āĻŸāĻž āĻ¸āĻ‚āĻ—ā§āĻ°āĻš āĻ•āĻ°āĻ¤ā§‡ ", + "isCorrect": "false" + }, + { + "answerText": "āĻŦāĻžāĻšā§āĻ¯āĻŋāĻ• āĻœāĻ—āĻ¤āĻ•ā§‡ āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ āĻ•āĻ°āĻ¤ā§‡", + "isCorrect": "true" + }, + { + "answerText": "āĻ‡āĻ¨āĻĒā§āĻ¸ā§āĻ¯ā§āĻ°ā§‡āĻ¨ā§āĻ¸ āĻ°āĻŋāĻ¸ā§āĻ• āĻšāĻŋāĻ¸āĻžāĻŦ āĻ•āĻ°āĻ¤ā§‡", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 6, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Š - āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ° āĻāĻŦāĻ‚ āĻ…ā§āĻ¯āĻžāĻ•āĻšā§ā§Ÿā§‡āĻŸāĻ°ā§‡āĻ° āĻ¸āĻžāĻšāĻžāĻ¯ā§āĻ¯ā§‡ āĻŦāĻžāĻšā§āĻ¯āĻŋāĻ• āĻœāĻ—āĻ¤ā§‡āĻ° āĻ¸āĻžāĻĨā§‡ āĻ¯ā§‹āĻ—āĻžāĻ¯ā§‹āĻ—: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻĄāĻŋāĻœāĻŋāĻŸāĻžāĻ˛ āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°āĻ—ā§āĻ˛āĻŋ āĻĄā§‡āĻŸāĻž āĻĒā§āĻ°ā§‡āĻ°āĻŖ āĻ•āĻ°ā§‡:", + "answerOptions": [ + { + "answerText": "āĻ­ā§‹āĻ˛ā§āĻŸā§‡āĻœ āĻ°ā§‡āĻ¨ā§āĻœ āĻ…āĻ¨ā§āĻ¸āĻžāĻ°ā§‡", + "isCorrect": "false" + }, + { + "answerText": "āĻšāĻžāĻ‡(High) āĻāĻŦāĻ‚ āĻ˛ā§‹(low) āĻ­ā§‹āĻ˛ā§āĻŸā§‡āĻœ āĻšāĻŋāĻ¸ā§‡āĻŦā§‡", + "isCorrect": "true" + }, + { + "answerText": "āĻ‡āĻŽā§‡āĻ‡āĻ˛ā§‡", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻāĻ•āĻŸāĻŋ āĻŦāĻžāĻŸāĻ¨ā§‡ āĻĒā§āĻ°ā§‡āĻ¸ āĻ•āĻ°āĻ˛ā§‡ āĻ•ā§‹āĻ¨ āĻĄāĻŋāĻœāĻŋāĻŸāĻžāĻ˛ āĻ¸āĻŋāĻ—āĻ¨ā§āĻ¯āĻžāĻ˛ āĻĒā§āĻ°ā§‡āĻ°āĻŖ āĻ•āĻ°āĻž āĻšāĻ¯āĻŧ?", + "answerOptions": [ + { + "answerText": "0", + "isCorrect": "false" + }, + { + "answerText": "1", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻĒāĻžāĻ˛āĻ¸-āĻ‰āĻ‡āĻĨ āĻŽāĻĄā§āĻ˛ā§‡āĻļāĻ¨ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°ā§‡ āĻĄāĻŋāĻœāĻŋāĻŸāĻžāĻ˛ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻĨā§‡āĻ•ā§‡ āĻ…ā§āĻ¯āĻžāĻ¨āĻžāĻ˛āĻ— āĻ…ā§āĻ¯āĻžāĻ•āĻŋāĻ‰āĻŸāĻ°ā§‡āĻŸāĻ°āĻ—ā§āĻ˛āĻŋ āĻ¨āĻŋāĻ¯āĻŧāĻ¨ā§āĻ¤ā§āĻ°āĻŖ āĻ•āĻ°āĻž āĻ¯āĻžāĻŦā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 7, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Ē - āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ•ā§‡ āĻ‡āĻ¨ā§āĻŸāĻžāĻ°āĻ¨ā§‡āĻŸā§‡āĻ° āĻ¸āĻžāĻĨā§‡ āĻ¯ā§āĻ•ā§āĻ¤ āĻ•āĻ°āĻž: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻ¸āĻ°ā§āĻŦāĻĻāĻž āĻ•āĻžāĻœ āĻ•āĻ°āĻžāĻ° āĻœāĻ¨ā§āĻ¯ āĻ‡āĻ¨ā§āĻŸāĻžāĻ°āĻ¨ā§‡āĻŸā§‡ āĻ¸āĻ‚āĻ¯ā§āĻ•ā§āĻ¤ āĻĨāĻžāĻ•āĻž āĻĒā§āĻ°āĻ¯āĻŧā§‹āĻœāĻ¨", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ“āĻ¯āĻŧā§‡āĻŦ āĻ…ā§āĻ¯āĻžāĻĒā§āĻ˛āĻŋāĻ•ā§‡āĻļāĻ¨ āĻŦāĻž āĻ…āĻ¨ā§āĻ¯āĻžāĻ¨ā§āĻ¯ āĻ“āĻ¯āĻŧā§‡āĻŦ APIāĻ—ā§āĻ˛āĻŋāĻ° āĻŽāĻ¤ āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻ¸āĻ°ā§āĻŦāĻĻāĻž HTTP āĻāĻ° āĻŽāĻžāĻ§ā§āĻ¯āĻŽā§‡ āĻ¯ā§‹āĻ—āĻžāĻ¯ā§‹āĻ— āĻ•āĻ°ā§‡", + "answerOptions": [ + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + }, + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻ¤āĻžāĻĻā§‡āĻ° āĻ¸āĻ•āĻ˛ āĻ¸āĻŋāĻĻā§āĻ§āĻžāĻ¨ā§āĻ¤ āĻ¨ā§‡āĻ“āĻ¯āĻŧāĻžāĻ° āĻœāĻ¨ā§āĻ¯ āĻ•ā§āĻ˛āĻžāĻ‰āĻĄā§‡āĻ° āĻ‰āĻĒāĻ° āĻ¨āĻŋāĻ°ā§āĻ­āĻ° āĻ•āĻ°ā§‡:", + "answerOptions": [ + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + }, + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 8, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Ē - āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ•ā§‡ āĻ‡āĻ¨ā§āĻŸāĻžāĻ°āĻ¨ā§‡āĻŸā§‡āĻ° āĻ¸āĻžāĻĨā§‡ āĻ¯ā§āĻ•ā§āĻ¤ āĻ•āĻ°āĻž: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ° āĻĨā§‡āĻ•ā§‡ āĻ¸āĻ‚āĻ—ā§āĻ°āĻš āĻ•āĻ°āĻž āĻāĻŦāĻ‚ āĻ•ā§āĻ˛āĻžāĻ‰āĻĄā§‡ āĻĒā§āĻ°ā§‡āĻ°āĻŖ āĻ•āĻ°āĻž āĻĄā§‡āĻŸāĻžāĻ•ā§‡ āĻŦāĻ˛āĻž āĻšāĻ¯āĻŧ:", + "answerOptions": [ + { + "answerText": "āĻŸā§‡āĻ˛āĻŋāĻŽā§‡āĻŸā§āĻ°āĻŋ", + "isCorrect": "true" + }, + { + "answerText": "āĻ•āĻŽāĻžāĻ¨ā§āĻĄ", + "isCorrect": "false" + }, + { + "answerText": "āĻĒāĻ°āĻŋāĻŽāĻžāĻĒ", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻ…āĻĢāĻ˛āĻžāĻ‡āĻ¨ā§‡ āĻĨāĻžāĻ•āĻ˛ā§‡ āĻ•ā§‹āĻ¨ āĻ•āĻŽāĻžāĻ¨ā§āĻĄā§‡āĻ° āĻ•ā§€ āĻšāĻŦā§‡:", + "answerOptions": [ + { + "answerText": "āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻŸāĻŋ āĻ…āĻ¨āĻ˛āĻžāĻ‡āĻ¨ā§‡ āĻĒā§āĻ¨āĻ°āĻžā§Ÿ āĻ¯ā§āĻ•ā§āĻ¤ āĻšāĻ˛ā§‡, āĻ•āĻŽāĻžāĻ¨ā§āĻĄ āĻ†āĻŦāĻžāĻ°ā§‹ āĻĒāĻžāĻ āĻžāĻ¤ā§‡ āĻšāĻŦā§‡", + "isCorrect": "false" + }, + { + "answerText": "āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻŸāĻŋ āĻ…āĻ¨āĻ˛āĻžāĻ‡āĻ¨ā§‡ āĻĒā§āĻ¨āĻ°āĻžā§Ÿ āĻ¯ā§āĻ•ā§āĻ¤ āĻšāĻ˛āĻ“ā§‡, āĻ•āĻŽāĻžāĻ¨ā§āĻĄ āĻ†āĻŦāĻžāĻ°ā§‹ āĻĒāĻžāĻ āĻžāĻ¨ā§‹ āĻ‰āĻšāĻŋāĻ¤ āĻšāĻŦā§‡āĻ¨āĻž", + "isCorrect": "false" + }, + { + "answerText": "āĻāĻŸāĻŋ āĻ•āĻŽāĻžāĻ¨ā§āĻĄ, āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻŸāĻŋ āĻāĻŦāĻ‚ āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻ…ā§āĻ¯āĻžāĻĒā§āĻ˛āĻŋāĻ•ā§‡āĻļāĻ¨āĻŸāĻŋāĻ° āĻĒā§āĻ°āĻ¯āĻŧā§‹āĻœāĻ¨ā§€āĻ¯āĻŧāĻ¤āĻžāĻ° āĻ‰āĻĒāĻ° āĻ¨āĻŋāĻ°ā§āĻ­āĻ° āĻ•āĻ°ā§‡", + "isCorrect": "true" + } + ] + }, + { + "questionText": "MQTT āĻ…āĻ°ā§āĻĨāĻžā§Ž Message Queueing Telemetry Transport āĻ āĻŽā§āĻ¯āĻžāĻ¸ā§‡āĻœā§‡āĻ° āĻ¸āĻžāĻ°āĻŋ āĻĨāĻžāĻ•ā§‡:", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 9, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Ģ - āĻ—āĻžāĻ›ā§‡āĻ° āĻŦā§ƒāĻĻā§āĻ§āĻŋ āĻ…āĻ¨ā§āĻŽāĻžāĻ¨ āĻ•āĻ°āĻž: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ†āĻ‡āĻŸ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻ•ā§ƒāĻˇāĻŋāĻ•ā§āĻˇā§‡āĻ¤ā§āĻ°ā§‡ āĻ¸āĻšāĻžāĻ¯āĻŧāĻ¤āĻž āĻ•āĻ°āĻ¤ā§‡ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°āĻž āĻ¯ā§‡āĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ‰āĻĻā§āĻ­āĻŋāĻĻā§‡āĻ° āĻĒā§āĻ°āĻ¯āĻŧā§‹āĻœāĻ¨ā§€āĻ¯āĻŧāĻ¤āĻžāĻ° āĻŽāĻ§ā§āĻ¯ā§‡ āĻ°āĻ¯āĻŧā§‡āĻ›ā§‡: (āĻ¸ā§‡āĻ°āĻž āĻ‰āĻ¤ā§āĻ¤āĻ°āĻŸāĻŋ āĻŦā§‡āĻ›ā§‡ āĻ¨āĻŋāĻ¤ā§‡ āĻšāĻŦā§‡)", + "answerOptions": [ + { + "answerText": "āĻ•āĻžāĻ°ā§āĻŦāĻ¨ āĻĄāĻžāĻ‡āĻ…āĻ•ā§āĻ¸āĻžāĻ‡āĻĄ, āĻĒāĻžāĻ¨āĻŋ, āĻĒā§āĻˇā§āĻŸāĻŋ āĻ‰āĻĒāĻžāĻĻāĻžāĻ¨", + "isCorrect": "false" + }, + { + "answerText": "āĻ•āĻžāĻ°ā§āĻŦāĻ¨ āĻĄāĻžāĻ‡āĻ…āĻ•ā§āĻ¸āĻžāĻ‡āĻĄ, āĻĒāĻžāĻ¨āĻŋ, āĻĒā§āĻˇā§āĻŸāĻŋ āĻ‰āĻĒāĻžāĻĻāĻžāĻ¨, āĻ†āĻ˛ā§‹", + "isCorrect": "false" + }, + { + "answerText": "āĻ•āĻžāĻ°ā§āĻŦāĻ¨ āĻĄāĻžāĻ‡āĻ…āĻ•ā§āĻ¸āĻžāĻ‡āĻĄ, āĻĒāĻžāĻ¨āĻŋ, āĻĒā§āĻˇā§āĻŸāĻŋ āĻ‰āĻĒāĻžāĻĻāĻžāĻ¨, āĻ†āĻ˛ā§‹, āĻ‰āĻˇā§āĻŖāĻ¤āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ‰āĻ¨ā§āĻ¨āĻ¤ āĻĻā§‡āĻļāĻ—ā§āĻ˛āĻŋāĻ° āĻ•ā§ƒāĻˇāĻ•āĻĻā§‡āĻ° āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ°ā§‡āĻ° āĻœāĻ¨ā§āĻ¯ āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°āĻ—ā§āĻ˛āĻŋ āĻ…āĻ¤ā§āĻ¯āĻ¨ā§āĻ¤ āĻŦā§āĻ¯āĻ¯āĻŧāĻŦāĻšā§āĻ˛:", + "answerOptions": [ + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + }, + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 10, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Ģ - āĻ—āĻžāĻ›ā§‡āĻ° āĻŦā§ƒāĻĻā§āĻ§āĻŋ āĻ…āĻ¨ā§āĻŽāĻžāĻ¨ āĻ•āĻ°āĻž: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ‰āĻĻā§āĻ­āĻŋāĻĻā§‡āĻ° āĻŦā§ƒāĻĻā§āĻ§āĻŋ āĻ¤āĻžāĻĒāĻŽāĻžāĻ¤ā§āĻ°āĻžāĻ° āĻ‰āĻĒāĻ° āĻ¨āĻŋāĻ°ā§āĻ­āĻ°āĻļā§€āĻ˛", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ‰āĻĻā§āĻ­āĻŋāĻĻ āĻŦā§ƒāĻĻā§āĻ§āĻŋāĻ° āĻœāĻ¨ā§āĻ¯ āĻ•ā§‹āĻ¨ āĻ¤āĻžāĻĒāĻŽāĻžāĻ¤ā§āĻ°āĻžāĻ—ā§āĻ˛ā§‹ āĻŦāĻŋāĻŦā§‡āĻšāĻ¨āĻž āĻ•āĻ°āĻ¤ā§‡ āĻšāĻŦā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ°ā§āĻŦāĻ¨āĻŋāĻŽā§āĻ¨, āĻ¸āĻ°ā§āĻŦā§‹āĻšā§āĻš", + "isCorrect": "false" + }, + { + "answerText": "āĻ¨āĻŋāĻŽā§āĻ¨āĻŽāĻžāĻ¨, āĻĒāĻ°āĻŋāĻŽāĻŋāĻ¤, āĻ¸āĻ°ā§āĻŦā§‹āĻšā§āĻš", + "isCorrect": "true" + }, + { + "answerText": "āĻļā§āĻ§ā§āĻŽāĻžāĻ¤ā§āĻ° āĻ¸āĻ°ā§āĻŦā§‹āĻšā§āĻš", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ•ā§āĻ°āĻŽāĻŦāĻ°ā§āĻ§āĻŽāĻžāĻ¨ āĻŦā§ƒāĻĻā§āĻ§āĻŋāĻ° āĻĄāĻŋāĻ—ā§āĻ°āĻŋ (Growing Degree Days) āĻĻāĻŋāĻ¨āĻ—ā§āĻ˛āĻŋ āĻ•ā§‹āĻ¨ āĻ¸ā§‚āĻ¤ā§āĻ°āĻŸāĻŋ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°ā§‡ āĻ—āĻŖāĻ¨āĻž āĻ•āĻ°āĻž āĻšāĻ¯āĻŧ:", + "answerOptions": [ + { + "answerText": "(day max + day min) - plant base", + "isCorrect": "false" + }, + { + "answerText": "((day max + day min) / 2) - plant base", + "isCorrect": "true" + }, + { + "answerText": "((day min + plant base) / 2)", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 11, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Ŧ - āĻŽāĻžāĻŸāĻŋāĻ° āĻ†āĻ°ā§āĻĻā§āĻ°āĻ¤āĻž āĻĒāĻ°āĻŋāĻŽāĻžāĻĒ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻŽāĻžāĻŸāĻŋāĻ° āĻ†āĻ°ā§āĻĻā§āĻ°āĻ¤āĻžāĻ° āĻŽāĻ¤ā§‹ āĻšāĻžāĻ°āĻŋāĻĒāĻžāĻ°ā§āĻļā§āĻŦāĻŋāĻ• āĻŦā§ˆāĻļāĻŋāĻˇā§āĻŸā§āĻ¯āĻ—ā§āĻ˛āĻŋ āĻ¸āĻ¨āĻžāĻ•ā§āĻ¤ āĻ•āĻ°āĻ¤ā§‡ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°āĻž āĻ¯ā§‡āĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻāĻ° āĻŽāĻ§ā§āĻ¯ā§‡ āĻ•ā§‹āĻ¨āĻŸāĻŋ āĻ—āĻžāĻ›ā§‡āĻ° āĻŦā§ƒāĻĻā§āĻ§āĻŋāĻ° āĻœāĻ¨ā§āĻ¯ āĻ¸āĻŽāĻ¸ā§āĻ¯āĻž āĻ¸ā§ƒāĻˇā§āĻŸāĻŋ āĻ•āĻ°āĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡ (āĻāĻ•āĻŸāĻŋ āĻŦāĻžāĻ›āĻžāĻ‡ āĻ•āĻ°āĻ¤ā§‡ āĻšāĻŦā§‡)?", + "answerOptions": [ + { + "answerText": "āĻ–ā§āĻŦ āĻ…āĻ˛ā§āĻĒ āĻĒāĻžāĻ¨āĻŋ", + "isCorrect": "false" + }, + { + "answerText": "āĻ–ā§āĻŦ āĻŦā§‡āĻļāĻŋ āĻĒāĻžāĻ¨āĻŋ", + "isCorrect": "false" + }, + { + "answerText": "āĻ–ā§āĻŦ āĻ…āĻ˛ā§āĻĒ āĻŦāĻž āĻ–ā§āĻŦ āĻŦā§‡āĻļāĻŋ āĻĒāĻžāĻ¨", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ¸āĻŽāĻ¸ā§āĻ¤ āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°ā§‡ āĻ¸ā§āĻŸā§āĻ¯āĻžāĻ¨ā§āĻĄāĻžāĻ°ā§āĻĄ āĻ‡āĻ‰āĻ¨āĻŋāĻŸāĻ—ā§āĻ˛āĻŋāĻ° āĻœāĻ¨ā§āĻ¯ āĻ†āĻ—ā§‡ āĻĨā§‡āĻ•ā§‡āĻ‡ āĻ•ā§āĻ¯āĻžāĻ˛āĻŋāĻŦā§āĻ°ā§‡āĻŸā§‡āĻĄ āĻĨāĻžāĻ•ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 12, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Ŧ - āĻŽāĻžāĻŸāĻŋāĻ° āĻ†āĻ°ā§āĻĻā§āĻ°āĻ¤āĻž āĻĒāĻ°āĻŋāĻŽāĻžāĻĒ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻŽāĻžāĻŸāĻŋāĻ° āĻ†āĻ°ā§āĻĻā§āĻ°āĻ¤āĻž āĻĒāĻ°āĻŋāĻŽāĻžāĻĒ āĻ•āĻ°āĻžāĻ° āĻ¸āĻŽāĻ¯āĻŧ, āĻ°ā§‹āĻ§āĻ• (resistive) āĻāĻŦāĻ‚ āĻ•ā§āĻ¯āĻžāĻĒāĻžāĻ¸āĻŋāĻŸāĻŋāĻ­ āĻ†āĻ°ā§āĻĻā§āĻ°āĻ¤āĻž āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°ā§‡āĻ° āĻŽāĻ§ā§āĻ¯ā§‡ āĻāĻ•āĻŸāĻŋ āĻĒāĻžāĻ°ā§āĻĨāĻ•ā§āĻ¯:", + "answerOptions": [ + { + "answerText": "āĻ†āĻ°ā§āĻĻā§āĻ°āĻ¤āĻž āĻ¸ā§āĻ¤āĻ° āĻŦāĻžāĻĄāĻŧāĻžāĻ° āĻ¸āĻžāĻĨā§‡ āĻ¸āĻžāĻĨā§‡ āĻ°ā§‹āĻ§āĻ• āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°āĻ—ā§āĻ˛āĻŋāĻ° āĻ­ā§‹āĻ˛ā§āĻŸā§‡āĻœ āĻŽāĻžāĻ¨ āĻŦāĻžā§œā§‡ āĻāĻŦāĻ‚ āĻ•ā§āĻ¯āĻžāĻĒāĻžāĻ¸āĻŋāĻŸāĻŋāĻ­ āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°āĻ—ā§āĻ˛āĻŋāĻ° āĻœāĻ¨ā§āĻ¯ āĻ¨āĻŋāĻšā§‡ āĻ¨ā§‡āĻŽā§‡ āĻ¯āĻžāĻ¯āĻŧ", + "isCorrect": "true" + }, + { + "answerText": "āĻ†āĻ°ā§āĻĻā§āĻ°āĻ¤āĻž āĻ¸ā§āĻ¤āĻ° āĻŦāĻžāĻĄāĻŧāĻžāĻ° āĻ¸āĻžāĻĨā§‡ āĻ¸āĻžāĻĨā§‡ āĻ­ā§‹āĻ˛ā§āĻŸā§‡āĻœ āĻ°ā§‹āĻ§āĻ• āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°āĻ—ā§āĻ˛āĻŋāĻ° āĻ­ā§‹āĻ˛ā§āĻŸā§‡āĻœ āĻŽāĻžāĻ¨ āĻ•āĻŽā§‡ āĻāĻŦāĻ‚ āĻ•ā§āĻ¯āĻžāĻĒāĻžāĻ¸āĻŋāĻŸāĻŋāĻ­ āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°āĻ—ā§āĻ˛āĻŋāĻ° āĻœāĻ¨ā§āĻ¯ āĻŦā§‡ā§œā§‡ āĻ¯āĻžāĻ¯āĻŧ", + "isCorrect": "false" + }, + { + "answerText": "āĻ†āĻ°ā§āĻĻā§āĻ°āĻ¤āĻž āĻ¸ā§āĻ¤āĻ° āĻŦāĻžāĻĄāĻŧāĻžāĻ° āĻ¸āĻžāĻĨā§‡ āĻ¸āĻžāĻĨā§‡ āĻ°ā§‹āĻ§āĻ• āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ° āĻāĻŦāĻ‚ āĻ•ā§āĻ¯āĻžāĻĒāĻžāĻ¸āĻŋāĻŸāĻŋāĻ­ āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ° āĻ‰āĻ­ā§Ÿā§‡āĻ° āĻ­ā§‹āĻ˛ā§āĻŸā§‡āĻœ āĻŦā§‡ā§œā§‡ āĻ¯āĻžāĻ¯āĻŧ", + "isCorrect": "false" + } + ] + }, + { + "questionText": "SPI āĻĒā§āĻ°āĻŸā§‹āĻ•āĻ˛ āĻ¸āĻžāĻĒā§‹āĻ°ā§āĻŸ āĻ•āĻ°ā§‡:", + "answerOptions": [ + { + "answerText": "āĻļā§āĻ§ā§ ā§§āĻŸāĻŋ āĻ•āĻ¨ā§āĻŸā§āĻ°ā§‹āĻ˛āĻžāĻ° āĻāĻŦāĻ‚ ā§§āĻŸāĻŋ āĻĒā§‡āĻ°āĻŋāĻĢā§‡āĻ°āĻžāĻ˛", + "isCorrect": "false" + }, + { + "answerText": "āĻļā§āĻ§ā§ ā§§āĻŸāĻŋ āĻ•āĻ¨ā§āĻŸā§āĻ°ā§‹āĻ˛āĻžāĻ° āĻāĻŦāĻ‚ āĻāĻ•āĻžāĻ§āĻŋāĻ• āĻĒā§‡āĻ°āĻŋāĻĢā§‡āĻ°āĻžāĻ˛", + "isCorrect": "true" + }, + { + "answerText": "āĻāĻ•āĻžāĻ§āĻŋāĻ• āĻ•āĻ¨ā§āĻŸā§āĻ°ā§‹āĻ˛āĻžāĻ° āĻāĻŦāĻ‚ āĻāĻ•āĻžāĻ§āĻŋāĻ• āĻĒā§‡āĻ°āĻŋāĻĢā§‡āĻ°āĻžāĻ˛", + "isCorrect": "false" + } + ] + }, + { + "questionText": "I2C āĻĒā§āĻ°āĻŸā§‹āĻ•āĻ˛ āĻ¸āĻžāĻĒā§‹āĻ°ā§āĻŸ āĻ•āĻ°ā§‡:", + "answerOptions": [ + { + "answerText": "āĻļā§āĻ§ā§ ā§§āĻŸāĻŋ āĻ•āĻ¨ā§āĻŸā§āĻ°ā§‹āĻ˛āĻžāĻ° āĻāĻŦāĻ‚ ā§§āĻŸāĻŋ āĻĒā§‡āĻ°āĻŋāĻĢā§‡āĻ°āĻžāĻ˛", + "isCorrect": "false" + }, + { + "answerText": "āĻļā§āĻ§ā§ ā§§āĻŸāĻŋ āĻ•āĻ¨ā§āĻŸā§āĻ°ā§‹āĻ˛āĻžāĻ° āĻāĻŦāĻ‚ āĻāĻ•āĻžāĻ§āĻŋāĻ• āĻĒā§‡āĻ°āĻŋāĻĢā§‡āĻ°āĻžāĻ˛", + "isCorrect": "false" + }, + { + "answerText": "āĻāĻ•āĻžāĻ§āĻŋāĻ• āĻ•āĻ¨ā§āĻŸā§āĻ°ā§‹āĻ˛āĻžāĻ° āĻāĻŦāĻ‚ āĻāĻ•āĻžāĻ§āĻŋāĻ• āĻĒā§‡āĻ°āĻŋāĻĢā§‡āĻ°āĻžāĻ˛", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 13, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§­ - āĻ…āĻŸā§‹āĻŽā§‡āĻŸāĻŋāĻ• āĻ—āĻžāĻ›ā§‡ āĻĒāĻžāĻ¨āĻŋ āĻĻā§‡ā§ŸāĻž: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛āĻŋ āĻĒāĻžāĻ¨āĻŋāĻ° āĻĒāĻžāĻŽā§āĻĒāĻ—ā§āĻ˛āĻŋ āĻ¨āĻŋāĻ¯āĻŧāĻ¨ā§āĻ¤ā§āĻ°āĻŖ āĻ•āĻ°āĻ¤ā§‡ āĻ¯āĻĨā§‡āĻˇā§āĻŸ āĻļāĻ•ā§āĻ¤āĻŋāĻļāĻžāĻ˛ā§€", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ…āĻ¤āĻŋāĻ°āĻŋāĻ•ā§āĻ¤ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ā§‡ āĻĒāĻžāĻ“ā§ŸāĻžāĻ° āĻ¨āĻŋāĻ¯āĻŧāĻ¨ā§āĻ¤ā§āĻ°āĻŖ āĻ•āĻ°āĻ¤ā§‡ āĻāĻ•āĻšā§ā§Ÿā§‡āĻŸāĻ° āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°āĻž āĻ¯ā§‡āĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ°āĻ—ā§āĻ˛āĻŋ āĻ¤āĻžāĻ¤ā§āĻ•ā§āĻˇāĻŖāĻŋāĻ•āĻ­āĻžāĻŦā§‡ āĻāĻ•āĻšā§ā§Ÿā§‡āĻŸāĻ°āĻ—ā§āĻ˛āĻŋāĻ° āĻĒāĻ°āĻŋāĻŦāĻ°ā§āĻ¤āĻ¨āĻ—ā§āĻ˛āĻŋ āĻ¸āĻ¨āĻžāĻ•ā§āĻ¤ āĻ•āĻ°ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 14, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§­ - āĻ…āĻŸā§‹āĻŽā§‡āĻŸāĻŋāĻ• āĻ—āĻžāĻ›ā§‡ āĻĒāĻžāĻ¨āĻŋ āĻĻā§‡ā§ŸāĻž: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ°āĻŋāĻ˛ā§‡ āĻ•ā§‹āĻ¨ āĻ§āĻ°āĻŖā§‡āĻ° āĻ¸ā§āĻ‡āĻš?", + "answerOptions": [ + { + "answerText": "āĻ‡āĻ˛ā§‡āĻ•ā§āĻŸā§āĻ°āĻŋāĻ•āĻžāĻ˛", + "isCorrect": "false" + }, + { + "answerText": "āĻ‡āĻ˛ā§‡āĻ•ā§āĻŸā§āĻ°ā§‹āĻŽā§‡āĻ•āĻžāĻ¨āĻŋāĻ•ā§āĻ¯āĻžāĻ˛", + "isCorrect": "true" + }, + { + "answerText": "āĻŽā§‡āĻ•āĻžāĻ¨āĻŋāĻ•ā§āĻ¯āĻžāĻ˛", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ°āĻŋāĻ˛ā§‡ āĻāĻ° āĻŽāĻžāĻ§ā§āĻ¯āĻŽ āĻ¯āĻž āĻ•āĻ°āĻž āĻ¯āĻžā§Ÿ-", + "answerOptions": [ + { + "answerText": "āĻ•āĻŽ āĻĒāĻžāĻ“ā§ŸāĻžāĻ°ā§‡āĻ° āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻĻāĻŋā§Ÿā§‡ āĻšāĻžāĻ‡-āĻĒāĻžāĻ“ā§ŸāĻžāĻ° āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ", + "isCorrect": "true" + }, + { + "answerText": "āĻšāĻžāĻ‡-āĻĒāĻžāĻ“ā§ŸāĻžāĻ° āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻĻāĻŋā§Ÿā§‡ āĻ•āĻŽ āĻĒāĻžāĻ“ā§ŸāĻžāĻ°ā§‡āĻ° āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ", + "isCorrect": "false" + }, + { + "answerText": "āĻĻā§Œā§œāĻŦāĻŋāĻĻāĻĻā§‡āĻ° āĻŽāĻ§ā§āĻ¯ā§‡ āĻŦā§āĻ¯āĻžāĻŸāĻ¨ āĻĒāĻ°āĻŋāĻŦāĻ°ā§āĻ¤āĻ¨", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ…ā§āĻ¯āĻžāĻ•āĻšā§ā§Ÿā§‡āĻŸāĻ°āĻ•ā§‡ āĻ¸āĻ°ā§āĻŦāĻĻāĻž āĻ¸ā§‡āĻ¨ā§āĻ¸āĻ° āĻ°āĻŋāĻĄāĻŋāĻ‚āĻ¯āĻŧā§‡āĻ° āĻ¸āĻžāĻĨā§‡ āĻ¤āĻžāĻ¤ā§āĻ•ā§āĻˇāĻŖāĻŋāĻ•āĻ­āĻžāĻŦā§‡ āĻĒā§āĻ°āĻ¤āĻŋāĻ•ā§āĻ°āĻŋāĻ¯āĻŧāĻž āĻœāĻžāĻ¨āĻžāĻ¨ā§‹ āĻ‰āĻšāĻŋāĻ¤:", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 15, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Ž - āĻ—āĻžāĻ›āĻ•ā§‡ āĻ•ā§āĻ˛āĻžāĻ‰āĻĄ āĻĨā§‡āĻ•ā§‡ āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": " āĻāĻ•āĻŸāĻŋ āĻĒāĻžāĻŦāĻ˛āĻŋāĻ• MQTT broker āĻĻāĻŋā§Ÿā§‡ āĻ•āĻŽāĻžāĻ°ā§āĻļāĻŋā§ŸāĻžāĻ˛ āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĒā§āĻ°āĻœā§‡āĻ•ā§āĻŸ āĻ•āĻ°āĻž āĻ¯āĻžā§Ÿ", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ•ā§āĻ˛āĻžāĻ‰āĻĄ āĻ•āĻŽā§āĻĒāĻŋāĻ‰āĻŸāĻŋāĻ‚ āĻĻā§āĻŦāĻžāĻ°āĻž āĻ¯āĻž āĻ•āĻ°āĻ¤ā§‡ āĻĒāĻžāĻ°āĻŋ -", + "answerOptions": [ + { + "answerText": "āĻ•ā§‡āĻŦāĻ˛ āĻ•āĻŽā§āĻĒāĻŋāĻ‰āĻŸāĻžāĻ° āĻ­āĻžāĻĄāĻŧāĻž āĻ¨ā§‡ā§ŸāĻž", + "isCorrect": "false" + }, + { + "answerText": "āĻ•āĻŽā§āĻĒāĻŋāĻ‰āĻŸāĻžāĻ° āĻāĻŦāĻ‚ āĻāĻĒā§āĻ˛āĻŋāĻ•ā§‡āĻļāĻ¨ āĻĒā§āĻ˛āĻžāĻŸāĻĢāĻ°ā§āĻŽ āĻ­āĻžāĻĄāĻŧāĻž āĻ¨ā§‡ā§ŸāĻž", + "isCorrect": "false" + }, + { + "answerText": "āĻ•āĻŽā§āĻĒāĻŋāĻ‰āĻŸāĻžāĻ°, āĻ…ā§āĻ¯āĻžāĻĒā§āĻ˛āĻŋāĻ•ā§‡āĻļāĻ¨ āĻĒā§āĻ˛ā§āĻ¯āĻžāĻŸāĻĢāĻ°ā§āĻŽ, āĻ¸āĻĢā§āĻŸāĻ“āĻ¯āĻŧā§āĻ¯āĻžāĻ°, āĻ¸āĻžāĻ°ā§āĻ­āĻžāĻ°āĻ˛ā§‡āĻ¸ āĻĒā§āĻ˛ā§āĻ¯āĻžāĻŸāĻĢāĻ°ā§āĻŽ āĻāĻŦāĻ‚ āĻ…āĻ¨ā§āĻ¯āĻžāĻ¨ā§āĻ¯ āĻĒāĻ°āĻŋāĻˇā§‡āĻŦāĻžāĻ—ā§āĻ˛āĻŋ āĻ­āĻžāĻĄāĻŧāĻž āĻ•āĻ°āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "6 āĻŸāĻŋ āĻŽāĻšāĻžāĻĻā§‡āĻļā§‡ āĻŦāĻŋāĻ­āĻŋāĻ¨ā§āĻ¨ āĻĻā§‡āĻļā§‡ āĻĄā§‡āĻŸāĻž āĻ¸ā§‡āĻ¨ā§āĻŸāĻžāĻ° āĻ¸āĻš āĻāĻ•āĻžāĻ§āĻŋāĻ• āĻ•ā§āĻ˛āĻžāĻ‰āĻĄ āĻ¸ā§‡āĻŦāĻžāĻĻāĻžāĻ¨āĻ•āĻžāĻ° ā§€āĻ°āĻ¯āĻŧā§‡āĻ›ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 16, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§Ž - āĻ—āĻžāĻ›āĻ•ā§‡ āĻ•ā§āĻ˛āĻžāĻ‰āĻĄ āĻĨā§‡āĻ•ā§‡ āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻāĻ•āĻŸāĻŋ Actuator āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ āĻ•āĻ°āĻ¤ā§‡ āĻāĻŦāĻ‚ IOT āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻĨā§‡āĻ•ā§‡ āĻāĻ•āĻŸāĻŋ āĻĒā§āĻ°āĻ¤āĻŋāĻ•ā§āĻ°āĻŋāĻ¯āĻŧāĻž āĻĒā§‡āĻ¤ā§‡, āĻ…ā§āĻ¯āĻžāĻĒā§āĻ˛āĻŋāĻ•ā§‡āĻļāĻ¨ āĻ•ā§‹āĻĄ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°ā§‡:", + "answerOptions": [ + { + "answerText": "āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻĨā§‡āĻ•ā§‡ āĻ•ā§āĻ˛āĻžāĻ‰āĻĄā§‡ āĻŽā§āĻ¯āĻžāĻ¸ā§‡āĻœ", + "isCorrect": "false" + }, + { + "answerText": "āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻŸā§āĻ‡āĻ¨", + "isCorrect": "false" + }, + { + "answerText": "āĻ¸āĻ°āĻžāĻ¸āĻ°āĻŋ āĻ°āĻŋāĻ•ā§ā§Ÿā§‡āĻ¸ā§āĻŸ", + "isCorrect": "true" + } + ] + }, + { + "questionText": "IoT Hub āĻ¸āĻŋāĻ•ā§āĻ¯ā§āĻ°āĻŋāĻŸāĻŋ āĻ›āĻžā§œāĻžāĻ‡ āĻ¯ā§‡āĻ•ā§‹āĻ¨ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻ•āĻžāĻ¨ā§‡āĻ•ā§āĻŸ āĻ•āĻ°āĻ¤ā§‡ āĻĻā§‡ā§Ÿ", + "answerOptions": [ + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž"", + "isCorrect": "true" + }, + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + } + ] + }, + { + "questionText": "IoT Hub āĻāĻ° āĻ¨āĻžāĻŽ āĻ‡āĻ‰āĻ¨āĻŋāĻ• āĻšāĻ¤ā§‡ āĻšāĻŦā§‡:", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 17, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§¯ - āĻ•ā§āĻ˛āĻžāĻ‰āĻĄ āĻĨā§‡āĻ•ā§‡ āĻāĻĒā§āĻ˛āĻŋāĻ•ā§‡āĻļāĻ¨ āĻ˛āĻœāĻŋāĻ• āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻ‡āĻ­ā§‡āĻ¨ā§āĻŸā§‡āĻ° āĻĒā§āĻ°āĻ¤āĻŋāĻ•ā§āĻ°āĻŋāĻ¯āĻŧāĻž āĻœāĻžāĻ¨āĻžāĻ¤ā§‡ āĻ†āĻĒāĻ¨āĻŋ āĻ¸āĻžāĻ°ā§āĻ­āĻžāĻ°āĻ˛ā§‡āĻ¸ āĻ•ā§‹āĻĄ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°āĻ¤ā§‡ āĻĒāĻžāĻ°āĻž āĻ¯āĻžāĻŦā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + }, + { + "questionText": "IoT Hub āĻ āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻ‡āĻ­ā§‡āĻ¨ā§āĻŸ āĻĒāĻžāĻ āĻžāĻ¨ā§‹ āĻšāĻ˛ā§‡:", + "answerOptions": [ + { + "answerText": "āĻļā§āĻ§ā§āĻŽāĻžāĻ¤ā§āĻ° āĻāĻ•āĻŸāĻŋ āĻ¸āĻžāĻ°ā§āĻ­āĻŋāĻ¸ IoT Hub āĻāĻ° āĻ‡āĻ­ā§‡āĻ¨ā§āĻŸāĻ—ā§āĻ˛āĻŋ āĻĒāĻĄāĻŧāĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡", + "isCorrect": "false" + }, + { + "answerText": "āĻ¨āĻŋāĻ°ā§āĻĻāĻŋāĻˇā§āĻŸ āĻ¸āĻ‚āĻ–ā§āĻ¯āĻ• āĻ¸āĻžāĻ°ā§āĻ­āĻŋāĻ¸ IoT Hub āĻāĻ° āĻ‡āĻ­ā§‡āĻ¨ā§āĻŸāĻ—ā§āĻ˛āĻŋ āĻĒāĻĄāĻŧāĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡", + "isCorrect": "true" + }, + { + "answerText": "āĻ•ā§‹āĻ¨ āĻ¸āĻžāĻ°ā§āĻ­āĻŋāĻ¸āĻ‡ IoT Hub āĻāĻ° āĻ‡āĻ­ā§‡āĻ¨ā§āĻŸāĻ—ā§āĻ˛āĻŋ āĻĒāĻĄāĻŧāĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡āĻ¨āĻž, āĻāĻœāĻ¨ā§āĻ¯ āĻ¸āĻžāĻ°ā§āĻ­āĻŋāĻ¸āĻ•ā§‡ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ā§‡ āĻ•āĻžāĻ¨ā§‡āĻ•ā§āĻŸ āĻĨāĻžāĻ•āĻ¤ā§‡ āĻšāĻŦā§‡", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻšāĻžāĻŦā§‡ āĻ‡āĻ­ā§‡āĻ¨ā§āĻŸāĻ—ā§āĻ˛āĻŋ āĻĒāĻĄāĻŧāĻžāĻ° āĻ¸āĻŽāĻ¯āĻŧ, āĻ•ā§‡āĻŦāĻ˛ āĻ•ā§āĻ˛āĻžāĻ‰āĻĄā§‡ āĻšāĻžāĻ˛āĻŋāĻ¤ āĻ•ā§‹āĻĄāĻŸāĻŋ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ° āĻ•āĻ°āĻ¤ā§‡ āĻĒāĻžāĻ°āĻž āĻ¯āĻžāĻŦā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 18, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§¯ - āĻ•ā§āĻ˛āĻžāĻ‰āĻĄ āĻĨā§‡āĻ•ā§‡ āĻāĻĒā§āĻ˛āĻŋāĻ•ā§‡āĻļāĻ¨ āĻ˛āĻœāĻŋāĻ• āĻ¨āĻŋā§ŸāĻ¨ā§āĻ¤ā§āĻ°āĻŖ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "Azure āĻĢāĻžāĻ‚āĻļāĻ¨ āĻ˛ā§‹āĻ•āĻžāĻ˛āĻŋ āĻšāĻžāĻ˛āĻžāĻ¨ā§‹ āĻāĻŦāĻ‚ āĻĄāĻŋāĻŦāĻžāĻ— āĻ•āĻ°āĻž āĻ¯āĻžāĻŦā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "true" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ¸āĻžāĻ°ā§āĻ­āĻžāĻ°āĻ˛ā§‡āĻ¸ āĻ•ā§‹āĻĄ āĻ•ā§‡āĻŦāĻ˛ āĻœāĻžāĻ­āĻžāĻ¸ā§āĻ•ā§āĻ°āĻŋāĻĒā§āĻŸ āĻāĻŦāĻ‚ COBOL-āĻ āĻ˛ā§‡āĻ–āĻž āĻ¯ā§‡āĻ¤ā§‡ āĻĒāĻžāĻ°ā§‡:", + "answerOptions": [ + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + }, + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + } + ] + }, + { + "questionText": "āĻ•ā§āĻ˛āĻžāĻ‰āĻĄā§‡ āĻ•ā§‹āĻ¨ āĻĢāĻžāĻ‚āĻļāĻ¨ āĻ…ā§āĻ¯āĻžāĻĒ āĻŦā§āĻ¯āĻŦāĻšāĻžāĻ°ā§‡āĻ° āĻ¸āĻŽāĻ¯āĻŧ, āĻ‡āĻ‰āĻœāĻžāĻ°āĻ•ā§‡ āĻ¤ā§ˆāĻ°āĻŋ āĻāĻŦāĻ‚ āĻĄā§‡āĻĒāĻ˛ā§Ÿ āĻ•āĻ°āĻ¤ā§‡ āĻšāĻŦā§‡:", + "answerOptions": [ + { + "answerText": "āĻļā§āĻ§ā§ ā§§āĻŸāĻŋ āĻĢāĻžāĻ‚āĻļāĻ¨ āĻ…ā§āĻ¯āĻžāĻĒ", + "isCorrect": "false" + }, + { + "answerText": "ā§§āĻŸāĻŋ āĻĢāĻžāĻ‚āĻļāĻ¨ āĻ…ā§āĻ¯āĻžāĻĒ āĻāĻŦāĻ‚ āĻāĻ•āĻŸāĻŋ āĻ¸ā§āĻŸā§‹āĻ°ā§‡āĻœ āĻāĻ•āĻžāĻ‰āĻ¨ā§āĻŸ", + "isCorrect": "false" + }, + { + "answerText": "ā§§āĻŸāĻŋ āĻĢāĻžāĻ‚āĻļāĻ¨ āĻ…ā§āĻ¯āĻžāĻĒ āĻāĻŦāĻ‚ āĻāĻ•āĻŸāĻŋ āĻ¸ā§āĻŸā§‹āĻ°ā§‡āĻœ āĻāĻ•āĻžāĻ‰āĻ¨ā§āĻŸ āĻāĻŦāĻ‚ āĻāĻĒā§āĻ˛āĻŋāĻ•ā§‡āĻļāĻ¨ āĻ¸ā§‡āĻŸāĻŋāĻ‚", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 19, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§§ā§Ļ - āĻ—āĻžāĻ›āĻ—ā§āĻ˛ā§‹āĻ° āĻ¨āĻŋāĻ°āĻžāĻĒāĻ¤ā§āĻ¤āĻž āĻ¨āĻŋāĻļā§āĻšāĻŋāĻ¤āĻ•āĻ°āĻŖ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒā§‚āĻ°ā§āĻŦāĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻ¸āĻ°ā§āĻŦāĻĻāĻž āĻ¸ā§āĻ°āĻ•ā§āĻˇāĻŋāĻ¤ āĻĨāĻžāĻ•ā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ•ā§‹āĻ¨āĻ“ āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻĻāĻŋā§Ÿā§‡ āĻšā§āĻ¯āĻžāĻ• āĻ•āĻ°āĻžāĻ° āĻŽāĻ¤ā§‹ āĻ¨āĻœāĻŋāĻ° āĻ¨ā§‡āĻ‡:", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ āĻ¸āĻ‚āĻ¯ā§‹āĻ—ā§‡āĻ° āĻ¸ā§āĻŸā§āĻ°āĻŋāĻ‚ āĻ¯ā§‡ āĻ•āĻžāĻ°āĻ“ āĻ¸āĻžāĻĨā§‡ āĻ­āĻžāĻ— āĻ•āĻ°āĻ¤ā§‡ āĻĒāĻžāĻ°āĻž āĻ¯āĻžāĻŦā§‡", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 20, + "title": "āĻ˛ā§‡āĻ¸āĻ¨ ā§§ā§Ļ - āĻ—āĻžāĻ›āĻ—ā§āĻ˛ā§‹āĻ° āĻ¨āĻŋāĻ°āĻžāĻĒāĻ¤ā§āĻ¤āĻž āĻ¨āĻŋāĻļā§āĻšāĻŋāĻ¤āĻ•āĻ°āĻŖ: āĻ˛ā§‡āĻ•āĻšāĻžāĻ° āĻĒāĻ°āĻŦāĻ°ā§āĻ¤ā§€ āĻ•ā§āĻ‡āĻœ", + "quiz": [ + { + "questionText": "Symmetric key encryption āĻāĻŦāĻ‚ asymmetric key encryption āĻāĻ° āĻĒāĻžāĻ°ā§āĻĨāĻ•ā§āĻ¯:", + "answerOptions": [ + { + "answerText": "Symmetric key encryption āĻāĻ° āĻ¸ā§āĻĒā§€āĻĄ asymmetric āĻāĻ° āĻšā§‡ā§Ÿā§‡ āĻ•āĻŽ", + "isCorrect": "false" + }, + { + "answerText": "Symmetric key encryption āĻāĻ–āĻžāĻ¨ā§‡ asymmetric āĻāĻ° āĻ¤ā§āĻ˛āĻ¨āĻžā§Ÿ āĻŦā§‡āĻļāĻŋ āĻ¨āĻŋāĻ°āĻžāĻĒāĻĻ", + "isCorrect": "false" + }, + { + "answerText": "Symmetric key encryption āĻŸāĻŋ asymmetric āĻāĻ° āĻ¤ā§āĻ˛āĻ¨āĻžā§Ÿ āĻŦā§‡āĻļāĻŋ āĻĻā§āĻ°ā§āĻ¤ āĻ•āĻžāĻœ āĻ•āĻ°āĻ˛ā§‡āĻ“, āĻ¨āĻŋāĻ°āĻžāĻĒāĻ¤ā§āĻ¤āĻž āĻ•āĻŽ", + "isCorrect": "true" + }, + { + "answerText": "Symmetric key encryption āĻŸāĻŋ asymmetric āĻāĻ° āĻ¤ā§āĻ˛āĻ¨āĻžā§Ÿ āĻ§ā§€āĻ°ā§‡ āĻ•āĻžāĻœ āĻ•āĻ°āĻ˛ā§‡āĻ“, āĻ¨āĻŋāĻ°āĻžāĻĒāĻ¤ā§āĻ¤āĻž āĻŦā§‡āĻļāĻŋ", + "isCorrect": "false" + } + ] + }, + { + "questionText": "Self-signed X.509 āĻ¸āĻžāĻ°ā§āĻŸāĻŋāĻĢāĻŋāĻ•ā§‡āĻŸāĻ—ā§āĻ˛ā§‹ Production Environment āĻāĻ° āĻœāĻ¨ā§āĻ¯ āĻ†āĻĻāĻ°ā§āĻļ", + "answerOptions": [ + { + "answerText": "āĻ¸āĻ¤ā§āĻ¯", + "isCorrect": "false" + }, + { + "answerText": "āĻŽāĻŋāĻĨā§āĻ¯āĻž", + "isCorrect": "true" + } + ] + }, + { + "questionText": "X.509 certificates:", + "answerOptions": [ + { + "answerText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛ā§‹āĻ° āĻŽāĻžāĻā§‡ āĻļā§‡ā§ŸāĻžāĻ° āĻ•āĻ°āĻž āĻ‰āĻšāĻŋāĻ¤ āĻ¨ā§Ÿ", + "isCorrect": "false" + }, + { + "answerText": "āĻ†āĻ‡āĻ“āĻŸāĻŋ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸āĻ—ā§āĻ˛ā§‹āĻ° āĻŽāĻžāĻā§‡ āĻļā§‡ā§ŸāĻžāĻ° āĻ•āĻ°āĻž āĻ¯āĻžāĻŦā§‡", + "isCorrect": "true" + }, + { + "answerText": "āĻ—ā§‹āĻĒāĻ¨ āĻ°āĻžāĻ–āĻž āĻ‰āĻšāĻŋāĻ¤ āĻāĻŦāĻ‚ āĻ•ā§‹āĻ¨ āĻĄāĻŋāĻ­āĻžāĻ‡āĻ¸ā§‡āĻ° āĻ¸āĻžāĻĨā§‡ āĻļā§‡ā§ŸāĻžāĻ° āĻ•āĻ°āĻž āĻ†āĻŦā§‡āĻ¨āĻž", + "isCorrect": "false" + } + ] + } + ] + } + ] + } +]