This MLA-C01 practice question tests your understanding of ml model development. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 needs to track and compare multiple ML training runs, including hyperparameters, metrics, and output artifacts. Which TWO AWS services can be used together to meet this requirement? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon SageMaker Experiments
Amazon SageMaker Experiments provides experiment tracking and comparison. Amazon SageMaker Model Registry helps manage model versions and artifacts. SageMaker Studio notebooks alone lack tracking; S3 provides storage but no tracking; CloudWatch logs is for monitoring.
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.
✓
Amazon SageMaker Experiments
Why this is correct
SageMaker Experiments captures and compares training runs, metrics, and parameters.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon S3
Why it's wrong here
S3 provides storage but lacks the tracking and comparison features needed.
✗
Amazon SageMaker Studio notebooks
Why it's wrong here
Notebooks are for development, not tracking runs across experiments.
✓
Amazon SageMaker Model Registry
Why this is correct
Model Registry stores and manages model versions, including artifacts from experiments.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon CloudWatch Logs
Why it's wrong here
CloudWatch Logs is for logging and monitoring, not experiment tracking.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
ML Model Development — This question tests ML Model Development — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon SageMaker Experiments — Amazon SageMaker Experiments provides experiment tracking and comparison. Amazon SageMaker Model Registry helps manage model versions and artifacts. SageMaker Studio notebooks alone lack tracking; S3 provides storage but no tracking; CloudWatch logs is for monitoring.
What should I do if I get this MLA-C01 question wrong?
Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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This MLA-C01 practice question is part of Courseiva's free Amazon Web Services 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 MLA-C01 exam.
Question Discussion
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