|
|
|
@ -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"
|
|
|
|
|
}
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|