A company must keep customer data within a specific country to comply with local regulations. Which design decision directly addresses this requirement?

Implementing fine-grained access controls

Using a multi-region deployment for high availability

Encrypting all data at rest and in transit

Choosing a cloud region located in that country for data storage and processing

Which tool or feature is most directly associated with data discovery?

A searchable data catalog with metadata and tags

A data pipeline orchestration tool

A manufacturing company collects sensor data from machines. The data arrives continuously, but some data may be delayed due to network issues. They want to process the data in near-real-time, but also need to handle late-arriving data without losing it. They plan to use Dataflow. What is the best way to design the pipeline?

Use Cloud Storage to stage data, then run a batch Dataflow job every hour.

Use Cloud Functions to process each message immediately and write results to BigQuery.

Use Dataflow with a fixed window and discard late data.

Use Pub/Sub for ingestion, write raw data to Cloud Storage as a staging area, and use Dataflow with a sliding window to process data.

A healthcare company is migrating its data processing workloads to Google Cloud. They must keep patient data in the EU for compliance, but they also want to retain the ability to move workloads to another cloud provider in the future without rewriting the data pipelines. They plan to use Cloud Storage for raw data and BigQuery for analytics. What is the most appropriate strategy to meet both requirements?

Store data in Cloud Storage in the EU, use BigQuery in the EU, and design pipelines using Apache Beam with portable runners.

Use BigQuery Omni to query data in AWS S3 in the EU, avoiding data movement.

Store data in a single-region bucket in the EU and use BigQuery in the same region. Use Cloud Storage's gsutil tool for data export.

Use Cloud Storage with a multi-region location in the EU and BigQuery in the EU. Use Dataflow templates for processing.

A bank is required to keep customer data within the country of origin. They are building a data platform on Google Cloud and want to ensure that data from customers in Germany is stored and processed only in Germany. They also want to allow future expansion to other countries. What should they do?

Use a multi-region location like `eu` for all data, as it is within Europe.

Use Cloud Storage with dual-region in Germany and the Netherlands.

Use a single-region bucket and BigQuery dataset in the `europe-west3` region (Frankfurt) for all German customer data.

Store data in Cloud Storage in Germany but use BigQuery in a neighboring country for processing.

Google CloudProfessional Data Engineer

Domain 1Objective 3

1.3 Designing for Flexibility and Portability PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 6)

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 26–30

26foundation · easy
A company must keep customer data within a specific country to comply with local regulations. Which design decision directly addresses this requirement?
Select an answer first
27foundation · easy
Which tool or feature is most directly associated with data discovery?
Select an answer first
28application · medium
A manufacturing company collects sensor data from machines. The data arrives continuously, but some data may be delayed due to network issues. They want to process the data in near-real-time, but also need to handle late-arriving data without losing it. They plan to use Dataflow. What is the best way to design the pipeline?
Select an answer first
29application · medium
A healthcare company is migrating its data processing workloads to Google Cloud. They must keep patient data in the EU for compliance, but they also want to retain the ability to move workloads to another cloud provider in the future without rewriting the data pipelines. They plan to use Cloud Storage for raw data and BigQuery for analytics. What is the most appropriate strategy to meet both requirements?
Select an answer first
30application · medium
A bank is required to keep customer data within the country of origin. They are building a data platform on Google Cloud and want to ensure that data from customers in Germany is stored and processed only in Germany. They also want to allow future expansion to other countries. What should they do?
Select an answer first

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1.3 Designing for Flexibility and Portability PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 6)

Questions 26–30

A company must keep customer data within a specific country to comply with local regulations. Which design decision directly addresses this requirement?

Which tool or feature is most directly associated with data discovery?

A bank is required to keep customer data within the country of origin. They are building a data platform on Google Cloud and want to ensure that data from customers in Germany is stored and processed only in Germany. They also want to allow future expansion to other countries. What should they do?

Keep studying — Designing data processing systems