Question 6 of 280
Single answerYou work for an online retail company that is creating a visual search engine. You have set up an end-to-end ML
pipeline on Google Cloud to classify whether an image contains your company's product. Expecting the release of
new products in the near future, you configured a retraining functionality in the pipeline so that new data can be
fed into your ML models. You also want to use AI Platform's continuous evaluation service to ensure that the
models have high accuracy on your test dataset. What should you do?
AKeep the original test dataset unchanged even if newer products are incorporated into retraining
✓BExtend your test dataset with images of the newer products when they are introduced to retraining.
CReplace your test dataset with images of the newer products when they are introduced to retraining.
DUpdate your test dataset with images of the newer products when your evaluation metrics drop below a predecided threshold.
✓
Correct Answer: B
Extend your test dataset with images of the newer products when they are introduced to retraining.
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Explanation
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