AWS Certified Machine Learning Engineer –
Associate Practice Test Exam Questions with
Answers and Rationale
1. What is the primary purpose of Amazon SageMaker?
A) To build, train, and deploy machine learning models
B) To store data
C) To manage databases
D) To provide DNS
Answer: A
Rationale: SageMaker is a fully managed service to build, train,
and deploy ML models. It is not for storage, database
management, or DNS.
2. Which SageMaker feature provides a managed Jupyter
notebook environment?
A) SageMaker Notebook Instances
B) SageMaker Endpoints
C) SageMaker Training Jobs
D) SageMaker Model Registry
Answer: A
,Rationale: Notebook Instances provide a managed Jupyter
environment. Endpoints deploy models. Training Jobs train
models. Model Registry manages versions.
3. Which SageMaker feature is used to deploy a trained model
for inference?
A) SageMaker Endpoints
B) SageMaker Notebook Instances
C) SageMaker Training Jobs
D) SageMaker Ground Truth
Answer: A
Rationale: Endpoints deploy models for inference. Notebooks
are for development. Training Jobs train models. Ground Truth
labels data.
4. What is the purpose of SageMaker Ground Truth?
A) To label data for training
B) To deploy models
C) To train models
D) To monitor models
Answer: A
,Rationale: Ground Truth labels data. Deployment, training, and
monitoring are separate.
5. What is the purpose of SageMaker Model Registry?
A) To catalog and manage model versions
B) To label data
C) To train models
D) To deploy models
Answer: A
Rationale: Model Registry catalogs and manages versions.
Labeling, training, and deployment are separate.
6. Which AWS service provides a fully managed ML service for
recommendations?
A) Amazon Personalize
B) Amazon Forecast
C) Amazon Polly
D) Amazon Rekognition
Answer: A
Rationale: Personalize provides recommendations. Forecast
provides forecasting. Polly provides text-to-speech. Rekognition
provides image analysis.
, 7. Which AWS service provides a fully managed ML service for
forecasting?
A) Amazon Forecast
B) Amazon Personalize
C) Amazon Polly
D) Amazon Rekognition
Answer: A
Rationale: Forecast provides forecasting. Personalize provides
recommendations. Polly provides text-to-speech. Rekognition
provides image analysis.
8. Which AWS service provides a fully managed ML service for
text-to-speech?
A) Amazon Polly
B) Amazon Forecast
C) Amazon Personalize
D) Amazon Rekognition
Answer: A
Rationale: Polly provides text-to-speech. Forecast provides
forecasting. Personalize provides recommendations.
Rekognition provides image analysis.
Associate Practice Test Exam Questions with
Answers and Rationale
1. What is the primary purpose of Amazon SageMaker?
A) To build, train, and deploy machine learning models
B) To store data
C) To manage databases
D) To provide DNS
Answer: A
Rationale: SageMaker is a fully managed service to build, train,
and deploy ML models. It is not for storage, database
management, or DNS.
2. Which SageMaker feature provides a managed Jupyter
notebook environment?
A) SageMaker Notebook Instances
B) SageMaker Endpoints
C) SageMaker Training Jobs
D) SageMaker Model Registry
Answer: A
,Rationale: Notebook Instances provide a managed Jupyter
environment. Endpoints deploy models. Training Jobs train
models. Model Registry manages versions.
3. Which SageMaker feature is used to deploy a trained model
for inference?
A) SageMaker Endpoints
B) SageMaker Notebook Instances
C) SageMaker Training Jobs
D) SageMaker Ground Truth
Answer: A
Rationale: Endpoints deploy models for inference. Notebooks
are for development. Training Jobs train models. Ground Truth
labels data.
4. What is the purpose of SageMaker Ground Truth?
A) To label data for training
B) To deploy models
C) To train models
D) To monitor models
Answer: A
,Rationale: Ground Truth labels data. Deployment, training, and
monitoring are separate.
5. What is the purpose of SageMaker Model Registry?
A) To catalog and manage model versions
B) To label data
C) To train models
D) To deploy models
Answer: A
Rationale: Model Registry catalogs and manages versions.
Labeling, training, and deployment are separate.
6. Which AWS service provides a fully managed ML service for
recommendations?
A) Amazon Personalize
B) Amazon Forecast
C) Amazon Polly
D) Amazon Rekognition
Answer: A
Rationale: Personalize provides recommendations. Forecast
provides forecasting. Polly provides text-to-speech. Rekognition
provides image analysis.
, 7. Which AWS service provides a fully managed ML service for
forecasting?
A) Amazon Forecast
B) Amazon Personalize
C) Amazon Polly
D) Amazon Rekognition
Answer: A
Rationale: Forecast provides forecasting. Personalize provides
recommendations. Polly provides text-to-speech. Rekognition
provides image analysis.
8. Which AWS service provides a fully managed ML service for
text-to-speech?
A) Amazon Polly
B) Amazon Forecast
C) Amazon Personalize
D) Amazon Rekognition
Answer: A
Rationale: Polly provides text-to-speech. Forecast provides
forecasting. Personalize provides recommendations.
Rekognition provides image analysis.