Google Professional Data Engineer exam dumps

Google Professional Data Engineer practice question 211 of 279

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

Google Professional Data Engineer Question 211

Single answerGoogle Cloud Platform

Your organization wants to securely share BigQuery datasets containing market research data with trusted external partners, while maintaining control over access and ensuring compliance with data governance policies. Which feature of Analytics Hub allows you to achieve this?

  1. A

    Data exchange

  2. B

    BigQuery storage API

  3. C

    IAM roles and permissions

  4. D

    BigQuery federated queries

Show answer and explanation

Correct answer: A

Explanation

Analytics Hub's 'data exchange' feature is specifically designed to enable organizations to securely share datasets with external partners while maintaining control over access and compliance. This feature is ideal for scenarios where organizations need to share valuable data insights with trusted collaborators in a secure and scalable manner.

  • A. Correct.

    Data exchange is a key feature of Analytics Hub that enables organizations to securely share BigQuery datasets with external partners while maintaining control over access.

  • B. Incorrect.

    BigQuery storage API allows access to dataset storage but is not specific to securely sharing datasets with external partners.

  • C. Incorrect.

    IAM roles and permissions are used for controlling access within Google Cloud but are not specific to the dataset-sharing capabilities provided by Analytics Hub.

  • D. Incorrect.

    BigQuery federated queries allow querying external data sources but do not address the secure sharing of datasets between organizations.

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