Google Professional Data Engineer exam dumps

Google Professional Data Engineer practice question 44 of 279

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

Google Professional Data Engineer Question 44

Select 3Google Cloud Platform

Your company operates in multiple regions and has strict data residency requirements, mandating that customer data must remain within specific geographic boundaries. Additionally, your company is adopting a multi-cloud strategy to avoid vendor lock-in and improve resilience. How can you design a data architecture that ensures compliance with data residency requirements while supporting multi-cloud portability?

  1. A

    Use regional storage solutions offered by cloud providers to ensure data is stored within the required geographic boundaries.

  2. B

    Leverage a global multi-region bucket to simplify data movement across regions and ensure faster access.

  3. C

    Implement a metadata-driven approach to tag datasets with location information and enforce access policies programmatically.

  4. D

    Use Kubernetes-based containerized solutions with portable storage to ensure applications and data can move across clouds seamlessly.

  5. E

    Configure a single global BigQuery dataset to centralize data for all regions, regardless of residency requirements.

Show answer and explanation

Correct answers: A, C, D

Explanation

To design a data architecture that meets data residency requirements and supports multi-cloud portability, it is important to leverage regional storage solutions, enforce location-aware policies using metadata, and use containerized technologies to enable portability. These approaches ensure compliance with geographic restrictions while allowing flexibility for multi-cloud deployments. Avoid solutions like global storage or centralized datasets that do not respect specific geographic boundaries.

  • A. Correct.

    Using regional storage solutions ensures that data is stored within the specific geographic regions required by data residency laws, meeting compliance requirements.

  • B. Incorrect.

    Using a global multi-region bucket does not meet data residency requirements, as data may be replicated across multiple regions that are not compliant with geographic boundaries.

  • C. Correct.

    A metadata-driven approach allows you to tag and enforce policies programmatically, ensuring compliance with data residency requirements while maintaining flexibility.

  • D. Correct.

    Kubernetes-based containerized solutions with portable storage help support multi-cloud deployments by abstracting the underlying infrastructure and enabling portability for both applications and data.

  • E. Incorrect.

    Centralizing data in a single global BigQuery dataset would violate data residency requirements, as it does not respect geographic boundaries.

Timed practice exam

Take a Google Professional Data Engineer practice test under exam conditions

60 questions in 120 minutes, drawn from this bank, with a score report and a per-question review when you finish.

Start timed exam