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Google CloudProfessional Data Engineer

Domain 4Objective 3

4.3 Sharing Data PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 1)

Part of the Preparing and using data for analysis domain, which accounts for ~15% of the PROFESSIONAL-DATA-ENGINEER exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~8–12 in this domain), expect 3–4 from this objective — we provide 13 practice questions to prepare you well beyond it. (estimate)

13questions here
3free pages
4concepts
~15%of the exam

Questions 1–5

  1. 1application · easy

    A data engineer needs to share a BigQuery dataset with a data analyst in the same organization. The analyst should be able to query the data but not modify or delete it. What is the minimal IAM role to grant on the dataset?

    Select an answer first
  2. 2foundation · easy

    What is the purpose of an exchange in BigQuery Analytics Hub?

    Select an answer first
  3. 3foundation · easy

    A data governance policy requires that all data sharing agreements include a review of the data classification before access is granted. Which Google Cloud capability is specifically designed to help enforce data governance policies by applying labels and conditions to data access?

    Select an answer first
  4. 4foundation · easy

    When publishing a dataset to external users, which metadata should be documented to ensure proper understanding and usage of the data?

    Select an answer first
  5. 5foundation · easy

    A data engineer creates a report in Looker Studio and wants to share it with stakeholders who do not have Google accounts. Which sharing option should be used?

    Select an answer first
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