Exam Professional Cloud Architect All Questions

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Exam Professional Cloud Architect topic 3 question 4 discussion

Actual exam question from Google's Professional Cloud Architect

Question #: 4
Topic #: 3

[All Professional Cloud Architect Questions]

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction accuracy from their ML prediction models. They want you to use Google's AI Platform so HRL can understand and interpret the predictions. What should you do?

A. Use Explainable AI.
B. Use Vision AI.
C. Use Google Cloud's operations suite.
D. Use Jupyter Notebooks.

Show Suggested Answer

Suggested Answer: A 🗳️

by manhmaluc at June 30, 2021, 2:04 p.m.

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umashankar_a

Highly Voted 3 years, 5 months ago

Answer A AI Explanations helps you understand your model's outputs for classification and regression tasks. Whenever you request a prediction on AI Platform, AI Explanations tells you how much each feature in the data contributed to the predicted result. You can then use this information to verify that the model is behaving as expected, recognize bias in your models, and get ideas for ways to improve your model and your training data. https://cloud.google.com/ai-platform/prediction/docs/ai-explanations/overview

upvoted 32 times

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technodev

Highly Voted 2 years, 11 months ago

Got this question in my exam, answered A

upvoted 11 times

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gcloud007

Most Recent 5 months, 2 weeks ago

Selected Answer: A

The choices are wrong ... AI Explanations is Deprecated, its not called Vertex AI, see. .. https://cloud.google.com/ai-platform/prediction/docs/ai-explanations/overview

upvoted 4 times

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JaimeMS

6 months ago

Selected Answer: A

Answer A, BUT: "This legacy version of AI Platform Prediction is deprecated and will no longer be available on Google Cloud after January 31, 2025. All models, associated metadata, and deployments will be deleted after January 31, 2025. Migrate your resources to Vertex AI to get new machine learning features that are unavailable in AI Platform."

upvoted 3 times

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yas_cloud

8 months, 4 weeks ago

Option A - Now its Vertex AI

upvoted 5 times

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CyanideX

1 year, 1 month ago

Selected Answer: A

It's now Vertex AI

upvoted 7 times

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Kamngur

1 year, 3 months ago

Selected Answer: A

Answer A is almost correct ;). Not it should be Vertex AI.

upvoted 3 times

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omermahgoub

1 year, 11 months ago

The correct answer is A: Use Explainable AI. To understand and interpret the predictions made by HRL's ML prediction models, you should use Explainable AI. Explainable AI, also known as XAI, is a suite of tools and techniques that helps you understand and interpret the predictions made by machine learning models. With Explainable AI, you can get insights into how the model made a particular prediction, which can help you understand the underlying factors that influenced the prediction. This can help HRL improve the accuracy of their predictions and make more informed decisions based on the output of their models. Option B: Vision AI is a suite of tools and services that helps you build and deploy computer vision applications. It is not relevant to understanding and interpreting the predictions made by HRL's ML prediction models.

upvoted 5 times

omermahgoub

1 year, 11 months ago

Option C: Google Cloud's operations suite is a set of tools and services that helps you monitor, troubleshoot, and optimize your Google Cloud resources. It is not relevant to understanding and interpreting the predictions made by HRL's ML prediction models. Option D: Jupyter Notebooks is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is not relevant to understanding and interpreting the predictions made by HRL's ML prediction models.

upvoted 2 times

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