Google Professional Data Engineer exam dumps

Google Professional Data Engineer practice question 157 of 279

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

Google Professional Data Engineer Question 157

Select 4Google Cloud Platform

Your organization has built a data lake on Google Cloud Storage for storing raw data from various sources. You are tasked with setting up a system that allows teams to discover datasets, control access to sensitive data, and monitor costs effectively. Which combination of actions best addresses these requirements?

  1. A

    Enable Data Catalog to manage metadata and allow dataset discovery.

  2. B

    Use IAM roles to define granular access permissions for datasets in the data lake.

  3. C

    Set up a Cloud Billing alert to monitor and control costs associated with the data lake.

  4. D

    Enable BigQuery to query the data lake directly and manage access via BigQuery permissions.

  5. E

    Configure Cloud Storage bucket labels to categorize data and use them for cost attribution.

Show answer and explanation

Correct answers: A, B, C, E

Explanation

The combination of enabling Data Catalog, using IAM roles, setting up Cloud Billing alerts, and configuring Cloud Storage bucket labels provides a comprehensive approach to managing data discovery, access controls, and cost monitoring in a Google Cloud data lake. These tools address the core requirements of the scenario without introducing unnecessary steps like enabling BigQuery for direct querying.

  • A. Correct.

    Correct: Data Catalog is designed for metadata management and dataset discovery, making it easier for teams to find and understand datasets.

  • B. Correct.

    Correct: IAM roles provide fine-grained access control, ensuring that sensitive data is only accessible to authorized personnel.

  • C. Correct.

    Correct: Cloud Billing alerts help monitor and control costs, ensuring that the data lake remains cost-effective.

  • D. Incorrect.

    Incorrect: While BigQuery can query data stored in Cloud Storage, it is not a necessary step for managing data discovery, access, or cost controls in this scenario.

  • E. Correct.

    Correct: Cloud Storage bucket labels allow you to categorize data and attribute costs to specific teams or projects, improving cost visibility and management.

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