The correct answer is that the input data path is not accessible by the Vertex AI Pipelines service account. This is because Vertex AI Pipelines relies on a service account—by default the Compute Engine default service account—to read input data from sources like Cloud Storage. When that service account lacks the `storage.objectViewer` role on the specific bucket or object, the pipeline component will fail with a permission-denied error, even if the path string is perfectly formatted. On the Google Professional Machine Learning Engineer exam, this scenario tests your understanding of how IAM permissions propagate through pipeline execution, often appearing as a trap where candidates focus on syntax errors instead of access control. A common memory tip: think of the service account as the pipeline’s “identity badge”—if it doesn’t have the right badge for the data room, the door stays locked, no matter how correct the address looks.
PMLE Automating and orchestrating ML pipelines Practice Question
This PMLE practice question tests your understanding of automating and orchestrating ml pipelines. 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.
The exhibit shows a Vertex AI PipelineJob submission command. The pipeline fails because the component cannot find the input data. What is the most likely cause?
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 the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The input data path is not accessible by the Vertex AI Pipelines service account
Option C is correct because the most likely cause of the pipeline failing to find input data is that the Vertex AI Pipelines service account lacks the necessary permissions to access the specified input data path. Vertex AI Pipelines uses the Compute Engine default service account (or a custom service account) to read data from Cloud Storage or other sources; if this account does not have the `storage.objectViewer` role (or equivalent) on the bucket or object, the component will fail with a permission-denied error, even if the path is syntactically correct.
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 pipeline root path is incorrect
Why it's wrong here
The pipeline root is for artifacts, not input data location.
✗
The pipeline name is misspelled
Why it's wrong here
Spark would cause a different error.
✓
The input data path is not accessible by the Vertex AI Pipelines service account
Why this is correct
The component likely expects a Cloud Storage path for data, and the service account lacks read permissions.
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.
✗
The region does not support the component
Why it's wrong here
Region issues are rare; usually availability is not the issue.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that a misspelled pipeline name or incorrect pipeline root path is the cause of runtime data access failures, when in fact the service account's IAM permissions on the data source are the critical factor.
Detailed technical explanation
How to think about this question
Vertex AI Pipelines relies on the service account's IAM permissions to access Cloud Storage buckets via signed URLs or direct gRPC calls. The default service account is `{project-number}-compute@developer.gserviceaccount.com`, and it must have `storage.objectViewer` (or `storage.legacyObjectReader`) on the bucket. A common subtlety is that if the bucket uses uniform bucket-level access, ACLs are ignored, and only IAM policies apply; misconfigured IAM is the leading cause of 'data not found' errors in production pipelines.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Automating and orchestrating ML pipelines — This question tests Automating and orchestrating ML pipelines — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The input data path is not accessible by the Vertex AI Pipelines service account — Option C is correct because the most likely cause of the pipeline failing to find input data is that the Vertex AI Pipelines service account lacks the necessary permissions to access the specified input data path. Vertex AI Pipelines uses the Compute Engine default service account (or a custom service account) to read data from Cloud Storage or other sources; if this account does not have the `storage.objectViewer` role (or equivalent) on the bucket or object, the component will fail with a permission-denied error, even if the path is syntactically correct.
What should I do if I get this PMLE 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.
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.