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Question 86 - Professional Machine Learning Engineer discussion

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Your data science team has requested a system that supports scheduled model retraining, Docker containers, and a service that supports autoscaling and monitoring for online prediction requests. Which platform components should you choose for this system?

A.
Vertex AI Pipelines and App Engine
Answers
A.
Vertex AI Pipelines and App Engine
B.
Vertex AI Pipelines and Al Platform Prediction
Answers
B.
Vertex AI Pipelines and Al Platform Prediction
C.
Cloud Composer, BigQuery ML , and Al Platform Prediction
Answers
C.
Cloud Composer, BigQuery ML , and Al Platform Prediction
D.
Cloud Composer, Al Platform Training with custom containers, and App Engine
Answers
D.
Cloud Composer, Al Platform Training with custom containers, and App Engine
Suggested answer: B

Explanation:

Vertex AI Pipelines and AI Platform Prediction are the platform components that best suit the requirements of the data science team. Vertex AI Pipelines is a service that allows you to orchestrate and automate your machine learning workflows using pipelines. Pipelines are portable and scalable ML workflows that are based on containers. You can use Vertex AI Pipelines to schedule model retraining, use custom containers, and integrate with other Google Cloud services. AI Platform Prediction is a service that allows you to host your trained models and serve online predictions. You can use AI Platform Prediction to deploy models trained on Vertex AI or elsewhere, and benefit from features such as autoscaling, monitoring, logging, and explainability.Reference:

Vertex AI Pipelines

AI Platform Prediction

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asked 18/09/2024
Krishan Randitha
42 questions
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