CLOUDPUZ
AWS Certified
Machine Learning Engineer -
Associate
MLA-C02
150 Practice Questions
Answers & Detailed Explanations
2 practice tests • 75 questions per test • English
Independent study material for certification preparation. This publication is not affiliated with or endorsed by Amazon Web
Services. AWS and related names are trademarks of their respective owners.
Practice questions for learning and revision; no claim is made that these are live certification exam questions.
CLOUDPUZ | MLA-C02 | Practice questions & answers 1
, How to use this question bank
Complete each practice test before consulting its answer key. Select one answer unless the
question specifies multiple answers. Review the explanations for every option, then revisit the
topics you missed.
Each test has three sections: Questions, Quick answer key, and Answers with explanations.
Question numbering restarts at 1 for Test 2.
The questions and explanations retain the content of the Cloudpuz source question banks. Official reference links supplied
in those banks are preserved for further study. Service capabilities and exam objectives may evolve.
CLOUDPUZ | MLA-C02 | Practice questions & answers 2
, Practice Test 1
Questions 1-75
Question 1 | Data Preparation for ML and AI
Training data joins features to outcomes without respecting when feature values were available.
What risk should be addressed?
A. Point-in-time leakage in the historical feature join
B. An automatic increase in model privacy
C. Too little DNS caching
D. A missing image tag
Select 1 answer.
Question 2 | ML Model and Foundation Model Development
A candidate model achieves better quality but exceeds the application's response-time
requirement. What should the decision consider?
A. Assume higher model cost guarantees lower latency
B. The measured quality-latency-cost tradeoff against the required service objective
C. Select it solely because one quality metric is higher
D. Hide slow responses from evaluation
Select 1 answer.
Question 3 | Deployment and Orchestration of ML and AI Workflows
A team wants managed orchestration of SageMaker processing, training, evaluation, and
registration steps. Which capability fits?
A. A security group
B. SageMaker Pipelines
C. A private hosted zone
D. S3 lifecycle alone
Select 1 answer.
CLOUDPUZ | MLA-C02 | Practice questions & answers 3
, Question 4 | Data Preparation for ML and AI
A large image dataset must preserve labels, source provenance, and version history across
experiments. What is a sound data-management approach?
A. Keep only a mutable folder name called latest
B. Overwrite every label file without history
C. Record only the number of images
D. Version the dataset and manifest with stable object references and metadata
Select 1 answer.
Question 5 | Data Preparation for ML and AI
A fraud dataset contains a feature recording the final investigation outcome, which becomes
known after the prediction time. What should the engineer do?
A. Exclude or redesign that feature to prevent target leakage
B. Copy it into every other feature
C. Use it only in the test labels and as a production input simultaneously
D. Keep it because it raises validation accuracy
Select 1 answer.
Question 6 | Deployment and Orchestration of ML and AI Workflows
A model built outside AWS must be hosted on SageMaker. What is needed?
A. Assume every arbitrary binary can run without dependencies
B. Only upload a screenshot of the model's score
C. Compatible model artifacts, a supported inference container, and required permissions and
configuration
D. Grant public access to every training file
Select 1 answer.
Question 7 | Operating, Monitoring, and Securing ML and AI Solutions
A model service must retain an audit trail without storing raw sensitive prompts indefinitely.
Which approach is reasonable?
A. Delete every event immediately without assessing audit needs
B. Store every secret forever in unrestricted logs
C. Keep the minimum necessary structured metadata and controlled, policy-compliant content
samples
D. Assume hashing any value always makes it non-sensitive
Select 1 answer.
CLOUDPUZ | MLA-C02 | Practice questions & answers 4
AWS Certified
Machine Learning Engineer -
Associate
MLA-C02
150 Practice Questions
Answers & Detailed Explanations
2 practice tests • 75 questions per test • English
Independent study material for certification preparation. This publication is not affiliated with or endorsed by Amazon Web
Services. AWS and related names are trademarks of their respective owners.
Practice questions for learning and revision; no claim is made that these are live certification exam questions.
CLOUDPUZ | MLA-C02 | Practice questions & answers 1
, How to use this question bank
Complete each practice test before consulting its answer key. Select one answer unless the
question specifies multiple answers. Review the explanations for every option, then revisit the
topics you missed.
Each test has three sections: Questions, Quick answer key, and Answers with explanations.
Question numbering restarts at 1 for Test 2.
The questions and explanations retain the content of the Cloudpuz source question banks. Official reference links supplied
in those banks are preserved for further study. Service capabilities and exam objectives may evolve.
CLOUDPUZ | MLA-C02 | Practice questions & answers 2
, Practice Test 1
Questions 1-75
Question 1 | Data Preparation for ML and AI
Training data joins features to outcomes without respecting when feature values were available.
What risk should be addressed?
A. Point-in-time leakage in the historical feature join
B. An automatic increase in model privacy
C. Too little DNS caching
D. A missing image tag
Select 1 answer.
Question 2 | ML Model and Foundation Model Development
A candidate model achieves better quality but exceeds the application's response-time
requirement. What should the decision consider?
A. Assume higher model cost guarantees lower latency
B. The measured quality-latency-cost tradeoff against the required service objective
C. Select it solely because one quality metric is higher
D. Hide slow responses from evaluation
Select 1 answer.
Question 3 | Deployment and Orchestration of ML and AI Workflows
A team wants managed orchestration of SageMaker processing, training, evaluation, and
registration steps. Which capability fits?
A. A security group
B. SageMaker Pipelines
C. A private hosted zone
D. S3 lifecycle alone
Select 1 answer.
CLOUDPUZ | MLA-C02 | Practice questions & answers 3
, Question 4 | Data Preparation for ML and AI
A large image dataset must preserve labels, source provenance, and version history across
experiments. What is a sound data-management approach?
A. Keep only a mutable folder name called latest
B. Overwrite every label file without history
C. Record only the number of images
D. Version the dataset and manifest with stable object references and metadata
Select 1 answer.
Question 5 | Data Preparation for ML and AI
A fraud dataset contains a feature recording the final investigation outcome, which becomes
known after the prediction time. What should the engineer do?
A. Exclude or redesign that feature to prevent target leakage
B. Copy it into every other feature
C. Use it only in the test labels and as a production input simultaneously
D. Keep it because it raises validation accuracy
Select 1 answer.
Question 6 | Deployment and Orchestration of ML and AI Workflows
A model built outside AWS must be hosted on SageMaker. What is needed?
A. Assume every arbitrary binary can run without dependencies
B. Only upload a screenshot of the model's score
C. Compatible model artifacts, a supported inference container, and required permissions and
configuration
D. Grant public access to every training file
Select 1 answer.
Question 7 | Operating, Monitoring, and Securing ML and AI Solutions
A model service must retain an audit trail without storing raw sensitive prompts indefinitely.
Which approach is reasonable?
A. Delete every event immediately without assessing audit needs
B. Store every secret forever in unrestricted logs
C. Keep the minimum necessary structured metadata and controlled, policy-compliant content
samples
D. Assume hashing any value always makes it non-sensitive
Select 1 answer.
CLOUDPUZ | MLA-C02 | Practice questions & answers 4
