Question 59 of 500
Supporting compliance requirementshardMultiple ChoiceObjective-mapped

Quick Answer

The correct approach is to use the DLP API to inspect BigQuery tables and apply de-identification or restriction policies. This works because the DLP API can automatically classify sensitive data like age within BigQuery, then either mask, tokenize, or restrict access to records of users under 13, directly supporting COPPA compliance. On the Google Professional Cloud Security Engineer exam, this scenario tests your understanding that DLP API is the only service that both inspects data content and enforces policy, unlike Data Catalog (which only tags metadata) or VPC Service Controls (which control network boundaries, not data content). A common trap is confusing bucket-level policies from Cloud Storage with BigQuery’s row-level security, but DLP API integrates natively with BigQuery to automate classification and access control. Memory tip: DLP = Data Loss Prevention, but think “Data Level Protection” for content-aware, automated classification and restriction.

PCSE Supporting compliance requirements Practice Question

This PCSE practice question tests your understanding of supporting compliance requirements. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 gaming company must comply with the Children's Online Privacy Protection Act (COPPA). They use BigQuery to store user data, including age. They want to automatically classify and restrict access to data of users under 13. Which approach should they take?

Question 1hardmultiple choice
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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Use DLP API to inspect BigQuery tables and apply de-identification or restriction policies.

Option A is correct because DLP API can classify sensitive data and set access controls accordingly. Option B is wrong because bucket-level policies apply to Cloud Storage, not BigQuery. Option C is wrong because VPC Service Controls do not inspect data content. Option D is wrong because Data Catalog does not enforce access; it only tags metadata.

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.

  • Create a Cloud Data Catalog tag template for age and assign tags to columns, then use IAM to restrict access based on tags.

    Why it's wrong here

    Data Catalog tags are metadata and do not enforce access control changes automatically.

  • Store user data in Cloud Storage with uniform bucket-level access and use IAM to restrict access based on age.

    Why it's wrong here

    IAM cannot dynamically restrict access based on data content like age.

  • Use DLP API to inspect BigQuery tables and apply de-identification or restriction policies.

    Why this is correct

    DLP can classify and automatically transform or restrict access to sensitive data.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use VPC Service Controls to limit access to the BigQuery dataset from only approved IP ranges.

    Why it's wrong here

    VPC Service Controls do not inspect data content; they control network access.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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.

What to study next

Got this wrong? Here's your next step.

Identify which PCSE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

Related practice questions

Related PCSE practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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FAQ

Questions learners often ask

What does this PCSE question test?

Supporting compliance requirements — This question tests Supporting compliance requirements — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use DLP API to inspect BigQuery tables and apply de-identification or restriction policies. — Option A is correct because DLP API can classify sensitive data and set access controls accordingly. Option B is wrong because bucket-level policies apply to Cloud Storage, not BigQuery. Option C is wrong because VPC Service Controls do not inspect data content. Option D is wrong because Data Catalog does not enforce access; it only tags metadata.

What should I do if I get this PCSE question wrong?

Identify which PCSE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 2026

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