AWS Certified Machine Learning
Engineer – Associate (MLA-C01) Practice
Examination 2026–2027 | Comprehensive
Question Practice Test with Answers &
Rationales| Free Pdf Access
1. What is the primary focus of the AWS Certified Machine Learning Engineer –
Associate certification?
A. Building, deploying, monitoring, and maintaining machine learning solutions on AWS
B. Managing physical servers
C. Desktop support administration
D. Network cabling installation
Correct Answer: A
Rationale: The certification validates skills in developing, operationalizing, and
maintaining machine learning workloads on AWS.
2. Which AWS service is the primary platform for building, training, and deploying
machine learning models?
A. Amazon SageMaker
B. Amazon Route 53
C. AWS IAM
D. Amazon SNS
Correct Answer: A
Rationale: Amazon SageMaker provides end-to-end machine learning capabilities.
,3. What is Amazon SageMaker?
A. Fully managed machine learning service
B. DNS management service
C. Object storage platform
D. Messaging service
Correct Answer: A
Rationale: SageMaker helps data scientists and engineers build and deploy ML models at
scale.
4. Which stage of the machine learning lifecycle involves gathering and preparing data?
A. Data preparation
B. Model deployment
C. Inference
D. Monitoring
Correct Answer: A
Rationale: Data preparation ensures datasets are suitable for training models.
5. What is supervised learning?
A. Machine learning using labeled training data
B. Learning without data
C. Random data generation
D. Hardware optimization technique
Correct Answer: A
Rationale: Supervised learning relies on known inputs and outputs.
6. What is unsupervised learning?
A. Learning patterns from unlabeled data
B. Learning only from labeled datasets
C. Manual programming of rules
D. Data encryption method
Correct Answer: A
Rationale: Unsupervised learning identifies structures and relationships within data.
, 7. Which type of machine learning is commonly used for predicting numeric values?
A. Regression
B. Clustering
C. Classification
D. Reinforcement Learning
Correct Answer: A
Rationale: Regression models predict continuous numerical outputs.
8. Which type of machine learning predicts categories or labels?
A. Classification
B. Regression
C. Clustering
D. Dimensionality Reduction
Correct Answer: A
Rationale: Classification models assign observations to predefined classes.
9. What is clustering?
A. Grouping similar data points together without predefined labels
B. Encrypting data
C. Optimizing storage
D. Deploying applications
Correct Answer: A
Rationale: Clustering is a common unsupervised learning technique.
10. Which AWS service can automatically build, train, and tune ML models?
A. SageMaker Autopilot
B. AWS Shield
C. Route 53
D. AWS Backup
Correct Answer: A
Engineer – Associate (MLA-C01) Practice
Examination 2026–2027 | Comprehensive
Question Practice Test with Answers &
Rationales| Free Pdf Access
1. What is the primary focus of the AWS Certified Machine Learning Engineer –
Associate certification?
A. Building, deploying, monitoring, and maintaining machine learning solutions on AWS
B. Managing physical servers
C. Desktop support administration
D. Network cabling installation
Correct Answer: A
Rationale: The certification validates skills in developing, operationalizing, and
maintaining machine learning workloads on AWS.
2. Which AWS service is the primary platform for building, training, and deploying
machine learning models?
A. Amazon SageMaker
B. Amazon Route 53
C. AWS IAM
D. Amazon SNS
Correct Answer: A
Rationale: Amazon SageMaker provides end-to-end machine learning capabilities.
,3. What is Amazon SageMaker?
A. Fully managed machine learning service
B. DNS management service
C. Object storage platform
D. Messaging service
Correct Answer: A
Rationale: SageMaker helps data scientists and engineers build and deploy ML models at
scale.
4. Which stage of the machine learning lifecycle involves gathering and preparing data?
A. Data preparation
B. Model deployment
C. Inference
D. Monitoring
Correct Answer: A
Rationale: Data preparation ensures datasets are suitable for training models.
5. What is supervised learning?
A. Machine learning using labeled training data
B. Learning without data
C. Random data generation
D. Hardware optimization technique
Correct Answer: A
Rationale: Supervised learning relies on known inputs and outputs.
6. What is unsupervised learning?
A. Learning patterns from unlabeled data
B. Learning only from labeled datasets
C. Manual programming of rules
D. Data encryption method
Correct Answer: A
Rationale: Unsupervised learning identifies structures and relationships within data.
, 7. Which type of machine learning is commonly used for predicting numeric values?
A. Regression
B. Clustering
C. Classification
D. Reinforcement Learning
Correct Answer: A
Rationale: Regression models predict continuous numerical outputs.
8. Which type of machine learning predicts categories or labels?
A. Classification
B. Regression
C. Clustering
D. Dimensionality Reduction
Correct Answer: A
Rationale: Classification models assign observations to predefined classes.
9. What is clustering?
A. Grouping similar data points together without predefined labels
B. Encrypting data
C. Optimizing storage
D. Deploying applications
Correct Answer: A
Rationale: Clustering is a common unsupervised learning technique.
10. Which AWS service can automatically build, train, and tune ML models?
A. SageMaker Autopilot
B. AWS Shield
C. Route 53
D. AWS Backup
Correct Answer: A
