The answer is to add the colleague’s account as a BigQuery Data Viewer on the dataset. This is correct because BigQuery dataset ACLs, managed through IAM, provide the simplest and most secure way to grant read-only query access at the dataset level without exposing the entire project or requiring data movement. On the Google Professional Machine Learning Engineer exam, this scenario tests your understanding of least-privilege access control, a core principle for production ML pipelines where data scientists often need to share specific datasets without granting broader project permissions. A common trap is choosing to share the entire project or export data to Cloud Storage, both of which introduce unnecessary complexity or security risks; the exam expects you to recognize that IAM roles like BigQuery Data Viewer are purpose-built for this exact need. Memory tip: think “dataset-level Data Viewer” for the “least privilege” win—no project keys, no stale exports, just direct, secure query access.
PMLE Practice Question: Collaborating within and across teams to manage data and models
This PMLE practice question tests your understanding of collaborating within and across teams to manage data and models. 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 data scientist needs to share a BigQuery dataset with a colleague in a different team so they can run queries. What is the simplest and most secure way to grant access?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Add the colleague's account as a BigQuery Data Viewer on the dataset
Option A is correct because BigQuery dataset ACLs (via IAM) allow fine-grained access to specific datasets. Option B is wrong because sharing the entire project gives too much access. Option C is wrong because exporting to Cloud Storage adds unnecessary complexity and stale data. Option D is wrong because sharing the service account key is a security risk.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Export the dataset to Cloud Storage and share the bucket
Why it's wrong here
This creates a copy and requires additional permissions, and data becomes stale.
✓
Add the colleague's account as a BigQuery Data Viewer on the dataset
Why this is correct
Direct IAM binding on the dataset provides least-privilege access.
Related concept
Standard ACLs match source addresses.
✗
Share the service account key of a BigQuery job user with the colleague
Why it's wrong here
Service account keys should be kept confidential and not shared.
✗
Add the colleague's account as a Project Viewer on the entire project
Why it's wrong here
Project Viewer grants access to all resources in the project, which is too broad.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
How to think about this question
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
KKey Concepts to Remember
Standard ACLs match source addresses.
Extended ACLs can match source, destination, protocol and ports.
The first matching ACL entry is used.
There is usually an implicit deny at the end.
TExam Day Tips
→Check inbound versus outbound direction.
→Read the ACL from top to bottom.
→Look for a broader permit or deny above the intended line.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
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.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PMLE ACL questions on filtering logic and placement.
Collaborating within and across teams to manage data and models — This question tests Collaborating within and across teams to manage data and models — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: Add the colleague's account as a BigQuery Data Viewer on the dataset — Option A is correct because BigQuery dataset ACLs (via IAM) allow fine-grained access to specific datasets. Option B is wrong because sharing the entire project gives too much access. Option C is wrong because exporting to Cloud Storage adds unnecessary complexity and stale data. Option D is wrong because sharing the service account key is a security risk.
What should I do if I get this PMLE question wrong?
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related PMLE ACL questions on filtering logic and placement.
What is the key concept behind this question?
Standard ACLs match source addresses.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
This PMLE 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 PMLE exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.