Google Professional Machine Learning Engineer exam dumps

Google Professional Machine Learning Engineer practice question 43 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 43

Select 3Google Cloud Platform

Your organization is building an e-commerce platform and wants to provide users with personalized product recommendations. To achieve this, you have been tasked with leveraging Google Cloud's Retail API. Which actions should you take to successfully implement the Retail API for this use case?

  1. A

    Ingest your product catalog data into the Retail API using the CatalogService.

  2. B

    Use the Retail API's PredictionService to generate product recommendations.

  3. C

    Train a custom recommendation model using TensorFlow and deploy it via Vertex AI.

  4. D

    Ingest user event data, such as clicks and purchases, using the UserEventService.

  5. E

    Directly connect the Retail API to your database without preprocessing the data.

Show answer and explanation

Correct answers: A, B, D

Explanation

To implement the Retail API for personalized product recommendations, you must ingest your product catalog and user event data using the appropriate Retail API services (CatalogService and UserEventService). These data inputs allow the PredictionService to generate personalized recommendations. The Retail API does not require manual model training or direct database connections, as it is designed to handle these steps internally when provided with the correct data.

  • A. Correct.

    Correct: The Retail API requires product catalog data to be ingested via the CatalogService to provide personalized recommendations.

  • B. Correct.

    Correct: The PredictionService in the Retail API is designed to generate personalized product recommendations based on the ingested catalog and user events.

  • C. Incorrect.

    Incorrect: While training a custom model is an option, the Retail API provides out-of-the-box recommendation capabilities, making custom model training unnecessary for this use case.

  • D. Correct.

    Correct: User event data, such as clicks and purchases, must be ingested using the UserEventService to allow the Retail API to understand user behavior and make personalized recommendations.

  • E. Incorrect.

    Incorrect: The Retail API requires properly formatted and preprocessed data to function. Directly connecting the API to a raw database is not a valid approach.

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