quiz for 17 (#166)

* Adding content * Update en.json * Update README.md * Update TRANSLATIONS.md * Adding lesson tempolates * Fixing code files with each others code in * Update README.md * Adding lesson 16 * Adding virtual camera * Adding Wio Terminal camera capture * Adding wio terminal code * Adding SBC classification to lesson 16 * Adding challenge, review and assignment * Adding images and using new Azure icons * Update README.md * Update iot-reference-architecture.png * Adding structure for JulyOT links * Removing icons * Sketchnotes! * Create lesson-1.png * Starting on lesson 18 * Updated sketch * Adding virtual distance sensor * Adding Wio Terminal image classification * Update README.md * Adding structure for project 6 and wio terminal distance sensor * Adding some of the smart timer stuff * Updating sketchnotes * Adding virtual device speech to text * Adding chapter 21 * Language tweaks * Lesson 22 stuff * Update en.json * Bumping seeed libraries * Adding functions lab to lesson 22 * Almost done with LUIS * Update README.md * Reverting sunlight sensor change Fixes #88 * Structure * Adding speech to text lab for Pi * Adding virtual device text to speech lab * Finishing lesson 23 * Clarifying privacy Fixes #99 * Update README.md * Update hardware.md * Update README.md * Fixing some code samples that were wrong * Adding more on translation * Adding more on translator * Update README.md * Update README.md * Adding public access to the container * First part of retail object detection * More on stock lesson * Tweaks to maps lesson * Update README.md * Update pi-sensor.md * IoT Edge install stuffs * Notes on consumer groups and not running the event monitor at the same time * Assignment for object detector * Memory notes for speech to text * Migrating LUIS to an HTTP trigger * Adding Wio Terminal speech to text * Changing smart timer to functions from hub * Changing a param to body to avoid URL encoding * Update README.md * Tweaks before IoT Show * Adding sketchnote links * Adding object detection labs * Adding more on object detection * More on stock detection * Finishing stock counting * Tidying stuff * Adding wio purchase link * Updating Seeed logo * Update pi-proximity.md * Fix clean up link Fixes #145 * Moving attributions to a separate file * First draft of edge classifier * Adding extras * Moving folder * Adding lesson 11 questions * Image improvements * More image tweaks * Adding lesson 12 quiz * Quiz for lesson 13 * Adding quiz for lesson 14 * Lesson 15 and 16 quiz * Update README.md * Adding sketchnotes * Adding quiz for 17
4 years ago · 9cfdd38092
parent 6c6621c869
commit 9cfdd38092
1 changed files with 117 additions and 0 deletions
--- 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"
+							}
+						]
+					}
+				]
 			}
 		]
 	}