Google Professional Machine Learning Engineer exam dumps

Google Professional Machine Learning Engineer practice question 39 of 522

Professional Machine Learning Engineer. Professional level, Google Cloud. Free question with the correct answer and a full explanation.

Google Professional Machine Learning Engineer Question 39

Select 3Google Cloud Platform

Your team is tasked with building a sentiment analysis feature for a customer feedback application. The team wants to leverage a pre-trained machine learning model to quickly implement this feature without developing a custom model. You decide to use the Vertex AI Model Garden. Which steps should you take to integrate a Model Garden ML API into your application?

  1. A

    Browse the Vertex AI Model Garden to find a pre-trained model for sentiment analysis.

  2. B

    Deploy the chosen pre-trained model to an endpoint using Vertex AI.

  3. C

    Train the pre-trained model from scratch using your own dataset before deployment.

  4. D

    Call the deployed model's endpoint from your application for inference.

  5. E

    Export the pre-trained model from Model Garden and run it locally without using Vertex AI.

Show answer and explanation

Correct answers: A, B, D

Explanation

The Vertex AI Model Garden offers pre-trained models that can be quickly deployed to endpoints for tasks like sentiment analysis. The correct approach involves browsing the Model Garden to select a model, deploying it to a Vertex AI endpoint, and calling the endpoint for inference from your application. This workflow enables you to integrate machine learning capabilities into your application efficiently without needing to train or host models locally.

  • A. Correct.

    Correct. The Vertex AI Model Garden provides a catalog of pre-trained models, including models for tasks like sentiment analysis. Browsing the catalog is the first step to find a suitable model.

  • B. Correct.

    Correct. Once you identify a suitable pre-trained model, you need to deploy it to a Vertex AI endpoint to make it accessible for inference.

  • C. Incorrect.

    Incorrect. Pre-trained models from the Model Garden are ready to use and do not require retraining from scratch, unless fine-tuning is specifically needed (which is not mentioned in this scenario).

  • D. Correct.

    Correct. After deploying the model to an endpoint, your application can call the endpoint for inference to analyze the sentiment of customer feedback.

  • E. Incorrect.

    Incorrect. Pre-trained models in the Vertex AI Model Garden are designed to be used within the Vertex AI ecosystem. Exporting the model for local use is not a standard process supported by the Model Garden.

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