- A
Store arguments in a Cloud Storage file and download at runtime.
Why wrong: Storing arguments in Cloud Storage requires additional runtime logic, which is not a direct method for passing command-line arguments.
- B
Set environment variables using the 'env' field and reference them in the container.
Why wrong: Setting environment variables passes values at runtime but these are not command-line arguments, making this method invalid for the specific requirement.
- C
Set hyperparameter values in the 'hyperparameters' field of the worker pool spec.
Why wrong: The 'hyperparameters' field is used for hyperparameter tuning jobs, not for passing static command-line arguments to a custom container.
- D
Use the 'command' field to override the entrypoint and include arguments.
This is correct because the 'command' field overrides the container's default entrypoint, allowing you to specify the command and arguments directly.
- E
Specify args in the 'args' field of the container spec.
This is correct because the 'args' field can be used to pass arguments that are appended to the entrypoint or command, making it a valid method for passing command-line arguments.
PMLE Scaling Prototypes into ML Models Practice Question
This PMLE practice question tests your understanding of scaling prototypes into ml models. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
You are using Vertex AI to train a model with a custom container. You need to pass command-line arguments for hyperparameters. Which TWO methods can you use? (Choose 2.)
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 the 'command' field to override the entrypoint and include arguments.
Options D and E are correct because the 'command' field allows you to override the container's entrypoint and include command-line arguments, and the 'args' field appends arguments to the entrypoint or command. Option B is incorrect because environment variables are not command-line arguments; they are a separate mechanism for passing configuration. Options A and C are also incorrect.
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.
- ✗
Store arguments in a Cloud Storage file and download at runtime.
Why it's wrong here
Storing arguments in Cloud Storage requires additional runtime logic, which is not a direct method for passing command-line arguments.
- ✗
Set environment variables using the 'env' field and reference them in the container.
Why it's wrong here
Setting environment variables passes values at runtime but these are not command-line arguments, making this method invalid for the specific requirement.
- ✗
Set hyperparameter values in the 'hyperparameters' field of the worker pool spec.
Why it's wrong here
The 'hyperparameters' field is used for hyperparameter tuning jobs, not for passing static command-line arguments to a custom container.
- ✓
Use the 'command' field to override the entrypoint and include arguments.
Why this is correct
This is correct because the 'command' field overrides the container's default entrypoint, allowing you to specify the command and arguments directly.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Specify args in the 'args' field of the container spec.
Why this is correct
This is correct because the 'args' field can be used to pass arguments that are appended to the entrypoint or command, making it a valid method for passing command-line arguments.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common trap is confusing the 'hyperparameters' field (used only for tuning jobs) with 'args' or 'command' (used for static arguments). Also, some candidates think environment variables (option B) are a primary method for passing hyperparameters, but they are not the standard approach for command-line arguments.
Trap categories for this question
Command / output trap
Storing arguments in Cloud Storage requires additional runtime logic, which is not a direct method for passing command-line arguments.
Detailed technical explanation
How to think about this question
When using a custom container in Vertex AI, the container's entrypoint is defined by the Dockerfile's ENTRYPOINT and CMD instructions. The 'command' field overrides the ENTRYPOINT, while the 'args' field overrides the CMD, allowing you to pass arguments directly. Environment variables set via the 'env' field are injected into the container's environment and can be read using standard OS mechanisms (e.g., os.environ in Python). This design aligns with Kubernetes pod spec conventions, where command and args correspond to the container's entrypoint and command fields.
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.
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FAQ
Questions learners often ask
What does this PMLE question test?
Scaling Prototypes into ML Models — This question tests Scaling Prototypes into ML Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the 'command' field to override the entrypoint and include arguments. — Options D and E are correct because the 'command' field allows you to override the container's entrypoint and include command-line arguments, and the 'args' field appends arguments to the entrypoint or command. Option B is incorrect because environment variables are not command-line arguments; they are a separate mechanism for passing configuration. Options A and C are also incorrect.
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.
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 →
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Last reviewed: Jul 4, 2026
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