- A
Use Cloud Composer to schedule a daily snapshot of the Cloud Storage bucket.
Why wrong: Cloud Composer orchestrates workflows but does not automatically version files.
- B
Migrate all training data to BigQuery and use time-travel queries to access historical versions.
Why wrong: BigQuery time travel is for querying historical table snapshots, not for versioning individual files.
- C
Enable object versioning on the Cloud Storage bucket and use the version ID when referencing data files.
Object versioning provides a way to keep multiple versions of an object, ensuring consistency.
- D
Restrict write access to the bucket to only one team member using IAM roles.
Why wrong: This creates a bottleneck and does not prevent version conflicts.
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 science team is using a shared Cloud Storage bucket to store training data. Multiple team members are simultaneously uploading new data files, and occasionally the wrong version of a file is used in training, leading to inconsistent results. Which best practice should the team implement to ensure data version consistency?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Enable object versioning on the Cloud Storage bucket and use the version ID when referencing data files.
Option C is correct because enabling object versioning on a Cloud Storage bucket preserves each object's history, allowing the team to reference a specific version ID when reading data files. This ensures that every training run uses the exact same version of a file, eliminating inconsistency from concurrent uploads. The version ID acts as an immutable pointer, decoupling the training process from the bucket's live state.
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 Composer to schedule a daily snapshot of the Cloud Storage bucket.
Why it's wrong here
Cloud Composer orchestrates workflows but does not automatically version files.
- ✗
Migrate all training data to BigQuery and use time-travel queries to access historical versions.
Why it's wrong here
BigQuery time travel is for querying historical table snapshots, not for versioning individual files.
- ✓
Enable object versioning on the Cloud Storage bucket and use the version ID when referencing data files.
Why this is correct
Object versioning provides a way to keep multiple versions of an object, ensuring consistency.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Restrict write access to the bucket to only one team member using IAM roles.
Why it's wrong here
This creates a bottleneck and does not prevent version conflicts.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between data versioning (object-level immutability) and data backup (snapshots or time-travel), leading candidates to choose snapshot or database-centric solutions that do not provide per-file version consistency in a shared object store.
Detailed technical explanation
How to think about this question
Object versioning in Cloud Storage uses a monotonically increasing generation number (and metageneration) for each object, which is returned in the `x-goog-generation` header on upload. When reading an object, you can append `?generation=<number>` to the object URL to pin to a specific version, even if the live object is later overwritten or deleted. This mechanism is analogous to S3 versioning and is critical for reproducibility in ML pipelines where data drift or accidental overwrites can silently invalidate model training.
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.
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FAQ
Questions learners often ask
What does this PMLE question test?
Collaborating within and across teams to manage data and models — This question tests Collaborating within and across teams to manage data and models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable object versioning on the Cloud Storage bucket and use the version ID when referencing data files. — Option C is correct because enabling object versioning on a Cloud Storage bucket preserves each object's history, allowing the team to reference a specific version ID when reading data files. This ensures that every training run uses the exact same version of a file, eliminating inconsistency from concurrent uploads. The version ID acts as an immutable pointer, decoupling the training process from the bucket's live state.
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: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 30, 2026
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