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Exam AI-102 topic 3 question 4 discussion

Actual exam question from Microsoft's AI-102
Question #: 4
Topic #: 3
[All AI-102 Questions]

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You develop an application to identify species of flowers by training a Custom Vision model.
You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You create a new model, and then upload the new images and labels.
Does this meet the goal?

  • A. Yes
  • B. No
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by azurelearner666 at June 30, 2021, 7:09 p.m.

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syupwsh
2 months ago
Selected Answer: B
No need to create a new model when there is already one; just retrain Answer is No
upvoted 1 times
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omankoman
5 months ago
To pass this exam, you will need to separate and memorise each of the following categories: ‘Yes/No questions that are presented in sequence and cannot be reversed once a decision has been made’, ‘Yes/No three-choice questions’, ‘Drag and Drop drop drop-down selection questions’ and ‘Drag and Drop sorting questions’. Do your best. I did that, memorized all the questions and passed.
upvoted 4 times
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rdemontis
12 months ago
Selected Answer: B
Correct. Instead you need to add the new images and labels to the existing model. You retrain the model, and then publish the model
upvoted 2 times
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sl_mslconsulting
1 year ago
Selected Answer: B
The answer is B is because the limitations of the smart labeler: You should only request suggested tags for images whose tags have already been trained on once. Don't get suggestions for a new tag that you're just beginning to train. You are given new images of species that have not been seen by the model how can you expect it to suggest what they are? Also you can train the model right in the smart labeler: check the workflow and the limitations in the doc. https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/suggested-tags
upvoted 1 times
sl_mslconsulting
1 year ago
Oops I meant to answer the question 2 above this one.
upvoted 1 times
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james2033
1 year, 2 months ago
Selected Answer: B
Need training. Correct answer: No
upvoted 1 times
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Eltooth
2 years, 3 months ago
Selected Answer: B
B is correct answer : No. The model needs to be extended and retrained. (Udemy answer) Note: Use Smart Labeler to generate suggested tags for images. This lets you label a large number of images more quickly when training a Custom Vision model.
upvoted 1 times
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htolajide
3 years, 1 month ago
Answer is correct, no need to create a new model, the existing one should be extended and retrained
upvoted 4 times
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Rdninja
3 years, 3 months ago
You don't need to retrain because you created a brand new model
upvoted 1 times
Messatsu
3 years, 3 months ago
No. If "You create a new model, and then upload the new images and labels." your model lacks previous images of other flowers. So the answer is correct.
upvoted 6 times
YipingRuan
3 years, 3 months ago
If must, Create and upload the new model, not upload the image..
upvoted 1 times
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azurelearner666
3 years, 4 months ago
correct! response lacks the model retraining...
upvoted 3 times
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