Cloud Digital Leader Trust and security with Google Cloud Practice Question
This GCDL practice question tests your understanding of trust and security with google cloud. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A multinational corporation must comply with data residency requirements that prohibit storing data outside specific geographic regions. They plan to use BigQuery for analytics. How can Google Cloud help enforce this requirement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use BigQuery’s location parameter to set dataset location and enforce via Organization Policy
Option D is correct because BigQuery datasets are created with a specific location parameter (e.g., `us-central1` or `EU`), and Google Cloud Organization Policies can be used to restrict where datasets can be created. By defining a constraint like `constraints/bigquery.locationRestriction`, administrators can enforce that datasets must reside only in approved geographic regions, preventing any data from being stored outside those boundaries. This directly addresses data residency requirements without relying on detection or blocking mechanisms that don't control storage location.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Use Cloud Audit Logs to detect and alert on cross-region data storage
Why it's wrong here
Audit logs can detect but not enforce; prevention is needed.
✗
Use Cloud Data Loss Prevention to redact cross-region data
Why it's wrong here
DLP is for data classification, not geographical enforcement.
✗
Use VPC Service Controls to block access to BigQuery APIs from other regions
Why it's wrong here
VPC Service Controls control network access, not data storage location.
✓
Use BigQuery’s location parameter to set dataset location and enforce via Organization Policy
Why this is correct
BigQuery datasets are location-scoped, and Organization Policies like gcp.resourceLocations can restrict allowed locations.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that VPC Service Controls can enforce data residency by blocking cross-region API calls, but in reality, VPC Service Controls control network access, not where data is physically stored, making it ineffective for this requirement.
Detailed technical explanation
How to think about this question
Under the hood, BigQuery datasets are bound to a specific multi-region or regional location at creation time, and this location is immutable for the dataset's lifetime. The Organization Policy constraint `bigquery.locationRestriction` uses a list of allowed locations (e.g., `in:us-central1,us-east1`), and when a user attempts to create a dataset outside this list, the API returns a `403 Forbidden` error before any storage is allocated. In a real-world scenario, a multinational corporation might combine this with `gcp.resourceLocations` to also restrict other services like Cloud Storage, ensuring all data processing and storage stays within GDPR-compliant regions.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this GCDL question in full detail.
Trust and security with Google Cloud — This question tests Trust and security with Google Cloud — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use BigQuery’s location parameter to set dataset location and enforce via Organization Policy — Option D is correct because BigQuery datasets are created with a specific location parameter (e.g., `us-central1` or `EU`), and Google Cloud Organization Policies can be used to restrict where datasets can be created. By defining a constraint like `constraints/bigquery.locationRestriction`, administrators can enforce that datasets must reside only in approved geographic regions, preventing any data from being stored outside those boundaries. This directly addresses data residency requirements without relying on detection or blocking mechanisms that don't control storage location.
What should I do if I get this GCDL question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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