diff --git a/quiz-app/src/assets/translations/en.json b/quiz-app/src/assets/translations/en.json index 730419d..f4d2d98 100644 --- a/quiz-app/src/assets/translations/en.json +++ b/quiz-app/src/assets/translations/en.json @@ -1619,6 +1619,123 @@ ] } ] + }, + { + "id": 33, + "title": "Lesson 17 - Run your fruit detector on the edge: Pre-Lecture Quiz", + "quiz": [ + { + "questionText": "Edge computing can be more secure than cloud computing.", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "true" + }, + { + "answerText": "False", + "isCorrect": "false" + } + ] + }, + { + "questionText": "Running an ML model on an edge device is less accurate than running an ML model in the cloud.", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + }, + { + "questionText": "Edge devices always need an Internet connection.", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + } + ] + }, + {"id": 34, + "title": "Lesson 17 - Run your fruit detector on the edge: Post-Lecture Quiz", + "quiz": [ + { + "questionText": "What kind of format or domain do we need for Custom Vision ML models to properly run on an edge device?", + "answerOptions": [ + { + "answerText": "General", + "isCorrect": "false" + }, + { + "answerText": "Quick Training", + "isCorrect": "false" + }, + { + "answerText": "Standard", + "isCorrect": "false" + }, + { + "answerText": "Compact", + "isCorrect": "true" + }, + { + "answerText": "Food", + "isCorrect": "false" + }, + { + "answerText": "Remote Deployment", + "isCorrect": "false" + } + ] + }, + { + "questionText": "What is a container?", + "answerOptions": [ + { + "answerText": "Self-contained applications that hold ML models.", + "isCorrect": "false" + }, + { + "answerText": "Self-contained applications that run in isolation from other programs.", + "isCorrect": "true" + }, + { + "answerText": "Self-contained applications that run programs only on edge devices.", + "isCorrect": "false" + }, + { + "answerText": "self-contained applications that handle communication between the cloud and edge devices.", + "isCorrect": "false" + } + ] + } + { + "questionText": "How do you do Custom Vision model retraining for ML models deployed on edge devices?", + "answerOptions": [ + { + "answerText": "Take images on the edge device, save to the edge device, and point the ML model to the new image folder.", + "isCorrect": "false" + }, + { + "answerText": "Upload images from the edge device to the cloud, retrain the model in Custom Vision, then re-deploy onto the edge device.", + "isCorrect": "true" + }, + { + "answerText": "Take images on the edge device and check the prediction output.", + "isCorrect": "false" + } + ] + } + ] } ] }