- A
The team is not granted the bigquery.jobUser role on the project.
Why wrong: Option A is incorrect because the bigquery.user role already includes the bigquery.jobUser role, which allows running query jobs.
- B
The team is not granted the bigquery.metadataViewer role on the dataset.
Why wrong: Option D is incorrect; the metadataViewer role is not required for querying data; it provides metadata access only.
- C
The dataset is in a different region than the project's default location, causing cross-region access restrictions.
Why wrong: Option B is incorrect; the engineer confirmed the dataset and project are in the same region, and cross-region queries would generate a different error.
- D
The custom role does not include the bigquery.tables.getData permission.
Option C is correct; the custom role lacks the bigquery.tables.getData permission, which is necessary to read table data during queries.
Quick Answer
The answer is that the custom role is missing the bigquery.tables.getData permission. This permission is required to read the actual rows of a BigQuery table, whereas bigquery.tables.get only allows access to table metadata like schema and properties. When the data science team runs a query, BigQuery checks for data-level read access on the target table separately from job creation or dataset metadata permissions, so even with bigquery.jobs.create and dataset-level access, the query fails without bigquery.tables.getData. On the Google Professional Cloud Security Engineer exam, this scenario tests your understanding of the granularity of BigQuery IAM permissions—specifically the distinction between metadata permissions and data permissions. A common trap is assuming that bigquery.user or bigquery.tables.get covers data reading, but it does not. Memory tip: think "get" for metadata, "getData" for the actual data—you need both to query.
PCSE Practice Question: Configuring access within a cloud solution environment
This PCSE practice question tests your understanding of configuring access within a cloud solution environment. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 healthcare company's data science team needs to query BigQuery tables containing sensitive patient data. The company policy requires that all queries be logged and audited. The team has been granted the bigquery.user role on the project. However, when attempting to query a specific table in a dataset, they receive the error: "Access Denied: Table X: User does not have permission to query table X." The dataset has a custom IAM role assigned to the team's Google Group. The custom role includes the permissions: bigquery.datasets.get, bigquery.tables.get, bigquery.tables.list, and bigquery.jobs.create. The engineer verifies that the bigquery.user role does include bigquery.jobs.create. The engineer also confirms that the table exists and the dataset is in the same region as the project. What is the most likely cause of the access denied error?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The custom role does not include the bigquery.tables.getData permission.
The error 'Access Denied: Table X: User does not have permission to query table X' indicates that the user lacks the permission to read the actual table data. The custom role assigned to the team's Google Group includes bigquery.tables.get (metadata) and bigquery.tables.list, but not bigquery.tables.getData, which is required to read table rows. Without bigquery.tables.getData, even with bigquery.jobs.create and dataset-level metadata permissions, query execution fails because BigQuery enforces data access separately from metadata and job creation.
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.
- ✗
The team is not granted the bigquery.jobUser role on the project.
Why it's wrong here
Option A is incorrect because the bigquery.user role already includes the bigquery.jobUser role, which allows running query jobs.
- ✗
The team is not granted the bigquery.metadataViewer role on the dataset.
Why it's wrong here
Option D is incorrect; the metadataViewer role is not required for querying data; it provides metadata access only.
- ✗
The dataset is in a different region than the project's default location, causing cross-region access restrictions.
Why it's wrong here
Option B is incorrect; the engineer confirmed the dataset and project are in the same region, and cross-region queries would generate a different error.
- ✓
The custom role does not include the bigquery.tables.getData permission.
Why this is correct
Option C is correct; the custom role lacks the bigquery.tables.getData permission, which is necessary to read table data during queries.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
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 distinction between metadata permissions (bigquery.tables.get) and data permissions (bigquery.tables.getData), tricking candidates into thinking that table-level metadata access is sufficient to query the table.
Detailed technical explanation
How to think about this question
In BigQuery, permissions are granular: bigquery.tables.getData controls reading table rows, while bigquery.tables.get controls reading table metadata (schema, description). The custom role lacked the former, so queries that attempt to scan data fail even though job creation and metadata listing succeed. This separation is intentional to allow fine-grained access control, e.g., granting metadata viewers access to table schemas without exposing sensitive data.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
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Configuring access within a cloud solution environment — study guide chapter
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FAQ
Questions learners often ask
What does this PCSE question test?
Configuring access within a cloud solution environment — This question tests Configuring access within a cloud solution environment — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The custom role does not include the bigquery.tables.getData permission. — The error 'Access Denied: Table X: User does not have permission to query table X' indicates that the user lacks the permission to read the actual table data. The custom role assigned to the team's Google Group includes bigquery.tables.get (metadata) and bigquery.tables.list, but not bigquery.tables.getData, which is required to read table rows. Without bigquery.tables.getData, even with bigquery.jobs.create and dataset-level metadata permissions, query execution fails because BigQuery enforces data access separately from metadata and job creation.
What should I do if I get this PCSE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
This PCSE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCSE exam.
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