Microsoft Certified Azure AI Engineer Associate · Free Practice Question Medium
Question 19
To implement a computer vision solution utilizing Azure's AI capabilities for object detection and image tagging, and to meet a tight deadline, you need to expedite the image labeling process.
How can this be accomplished?
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A
It is necessary to tag all the images manually.
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B
You can use Custom Vision's Smart Labeler to quickly tag images on an untrained model without iterations.
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C
You can use the Smart Labeler feature in Custom Vision to tag images more efficiently on a trained model with the latest iteration.
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D
Using tools such as Azure Machine Learning Studio or Microsoft Visual Object Tagging Tool (VOTT) can accelerate the labeling process.
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E
It is possible to train the model without manually tagging the images.
Reveal correct answer
Correct answer: C
A. Manually tagging all images is a time-consuming process that is not suitable for meeting a tight deadline. It is not an efficient way to expedite the image labeling process for object detection and image tagging.
B. Custom Vision's Smart Labeler can quickly tag images on an untrained model without iterations, but this may not be the most efficient way to expedite the image labeling process for object detection and image tagging, especially when working with a tight deadline.
C. Using the Smart Labeler feature in Custom Vision to tag images more efficiently on a trained model with the latest iteration can significantly expedite the image labeling process for object detection and image tagging, making it the correct choice for meeting a tight deadline.
D. While tools like Azure Machine Learning Studio or Microsoft Visual Object Tagging Tool (VOTT) can accelerate the labeling process, they may not be as efficient or effective in expediting the image labeling process for object detection and image tagging as using the Smart Labeler feature in Custom Vision.
E. Training the model without manually tagging the images may not be the most effective way to expedite the image labeling process for object detection and image tagging, especially when working with a tight deadline. Manually tagging images is a crucial step in the training process to ensure accurate results.
Discussion
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