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Google CloudProfessional Machine Learning Engineer

Domain 6Objective 2

Monitoring, Testing, and Troubleshooting AI Solutions PROFESSIONAL-MACHINE-LEARNING-ENGINEER Practice Questions (Page 2)

Part of the Monitoring AI solutions domain, which accounts for ~13% of the PROFESSIONAL-MACHINE-LEARNING-ENGINEER exam.

33questions here
7free pages
8concepts
~13%of the exam

Questions 6–10

  1. 6foundation · easy

    What is the purpose of using benchmarks to evaluate a generative AI solution?

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  2. 7foundation · easy

    Which metric is commonly used to evaluate the quality of text generated by a generative AI model?

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  3. 8foundation · easy

    What should be monitored when evaluating a generative AI solution in production?

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  4. 9foundation · easy

    What does data drift monitoring primarily track?

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  5. 10expert · hard

    An ML team is testing a Gemini-powered translation model. They have a test set of 1,000 sentences with human reference translations. They want to evaluate both the quality of the translations and the model's robustness to adversarial inputs, such as sentences with ambiguous meanings or slang. What is the best testing strategy?

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