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Google Exam Professional-Machine-Learning-Engineer Topic 6 Question 69 Discussion

Actual exam question for Google's Google Professional Machine Learning Engineer exam
Question #: 69
Topic #: 6
[All Google Professional Machine Learning Engineer Questions]

You are training and deploying updated versions of a regression model with tabular data by using Vertex Al Pipelines. Vertex Al Training Vertex Al Experiments and Vertex Al Endpoints. The model is deployed in a Vertex Al endpoint and your users call the model by using the Vertex Al endpoint. You want to receive an email when the feature data distribution changes significantly, so you can retrigger the training pipeline and deploy an updated version of your model What should you do?

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Suggested Answer: A

Contribute your Thoughts:

Kenda
10 days ago
Ah, good point. I didn't know about the endpoint monitoring limit. Option C does sound like a more scalable solution. Plus, we can use Cloud Monitoring to set up custom alerts and notifications.
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Rebbeca
11 days ago
That's a good point. Option D might be overkill for this use case, but it could be useful if we need more advanced analytics or custom logic to detect the feature data drift. I guess it's a trade-off between simplicity and flexibility.
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Christene
12 days ago
You know, I just thought of a humorous way to remember this question. We could call it the 'Drift Alert-palooza' - monitoring the drift, setting up the alerts, and making sure the emails don't end up in the spam folder!
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Leatha
13 days ago
This question is testing our understanding of the different monitoring and alerting options available in Vertex AI. I think the key is to identify the right service to monitor the feature data distribution changes.
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