Google Professional Data Engineer Question 164
Select 3Google Cloud PlatformYou are designing a data mesh architecture for a retail company that operates in multiple regions. Each region has its own team managing localized data products. To ensure the successful implementation of the data mesh, what key considerations should you prioritize?
- A
Establishing clear ownership and governance for each data product.
- B
Centralizing all data pipelines to enforce consistency across regions.
- C
Standardizing data schemas and interfaces for interoperability across data products.
- D
Implementing a centralized team to monitor all data product operations.
- E
Empowering regional teams to manage and maintain their data products autonomously.
Show answer and explanation
Correct answers: A, C, E
Explanation
In a data mesh architecture, the focus is on decentralization, ownership, and interoperability. Clear ownership and governance (Option 1) ensure accountability for each data product. Standardizing schemas and interfaces (Option 3) enables seamless collaboration and integration across data products. Empowering regional teams (Option 5) aligns with the principle of decentralized domain ownership, allowing local teams to operate independently while adhering to global standards. Centralized pipelines or monitoring contradict the principles of the data mesh.
- A. Correct.
Establishing clear ownership and governance is a core principle of the data mesh. Each data product should have a dedicated owner responsible for its quality, accessibility, and lifecycle.
- B. Incorrect.
Centralizing all data pipelines contradicts the distributed nature of a data mesh. Instead, the focus should be on enabling decentralized ownership and operations.
- C. Correct.
Standardizing data schemas and interfaces is critical for ensuring that data products can interoperate effectively in a data mesh environment.
- D. Incorrect.
A centralized team monitoring all operations contradicts the decentralized nature of a data mesh. Instead, regional teams should own their operations while adhering to global standards.
- E. Correct.
Empowering regional teams to manage their data products aligns with the decentralized governance model of a data mesh, enabling scalability and autonomy.