A global financial services firm must process customer transaction data. Regulations require that data about EU customers remain within the EU, while data about US customers can be processed in the US. They want a single data platform that can handle both, while also allowing future expansion to other regions. They plan to use BigQuery and Cloud Storage. What is the best approach?

Store all data in Cloud Storage in the EU and use BigQuery in the US to process it.

Use BigQuery Omni to query data in AWS S3 in each region, avoiding storage in Google Cloud.

Create separate BigQuery datasets and Cloud Storage buckets in EU and US regions, and route data based on customer origin.

Use a single multi-region BigQuery dataset in the EU and store all data there, regardless of customer origin.

A company wants to move a data processing workload between cloud providers without rewriting the entire application. Which approach best supports portability?

Hard-coding cloud-specific API calls throughout the code

Using open standards and containerized applications that can run in multiple environments

Using managed services that are unique to each cloud provider

Storing all data in a proprietary format

In a data pipeline, what is the purpose of a staging area?

To permanently store all historical data for compliance

To temporarily hold data before it is processed or loaded into a target system

To encrypt data before it enters the cloud

To provide a user interface for data analysts

A data engineering team is designing a new analytics platform. The business expects data volume to double annually for the next three years. Which activity best represents requirements mapping?

Creating a proof-of-concept for a data pipeline without consulting stakeholders

Optimizing an existing pipeline for cost without considering future growth

Selecting the latest data warehouse technology before reviewing business needs

Documenting current and future business needs and translating them into architectural components such as storage and processing capacity

A data engineering team wants to design a data processing architecture that can adapt to changing business needs without major rework. Which design principle best supports this goal?

Building modular components with well-defined interfaces and decoupling storage from compute

Using a single monolithic pipeline for all data processing

Hard-coding business rules into each data transformation

Using tightly coupled components to minimize latency

Google CloudProfessional Data Engineer

Domain 1Objective 3

1.3 Designing for Flexibility and Portability PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 1)

Part of the Designing data processing systems domain, which accounts for ~22% of the PROFESSIONAL-DATA-ENGINEER exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~11–18 in this domain), expect 3–5 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)

30questions here

6free pages

8concepts

~22%of the exam

Questions 1–5

1expert · hard
A global financial services firm must process customer transaction data. Regulations require that data about EU customers remain within the EU, while data about US customers can be processed in the US. They want a single data platform that can handle both, while also allowing future expansion to other regions. They plan to use BigQuery and Cloud Storage. What is the best approach?
Select an answer first
2foundation · easy
A company wants to move a data processing workload between cloud providers without rewriting the entire application. Which approach best supports portability?
Select an answer first
3foundation · easy
In a data pipeline, what is the purpose of a staging area?
Select an answer first
4foundation · easy
A data engineering team is designing a new analytics platform. The business expects data volume to double annually for the next three years. Which activity best represents requirements mapping?
Select an answer first
5foundation · easy
A data engineering team wants to design a data processing architecture that can adapt to changing business needs without major rework. Which design principle best supports this goal?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to PROFESSIONAL-DATA-ENGINEER

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Google Cloud. “PROFESSIONAL-DATA-ENGINEER” is a trademark of its owner, used for identification only.