A healthcare company needs to store patient records for ML research. The data is highly structured, with a fixed schema, and will be accessed frequently for analytical queries. The company has strict data residency requirements and must keep all data within a specific AWS Region. Which storage solution should they choose?

Amazon S3 with S3 Standard storage class in the required Region.

Amazon DynamoDB in the required Region.

Amazon EFS in the required Region.

Amazon EBS volumes attached to an EC2 instance in the required Region.

AWSCertified Machine Learning Engineer - Associate

Domain 1Objective 1

Task 1.1: Ingest and Store Data MLA-C01 Practice Questions (Page 2)

Part of the Content Domain 1: Data Preparation for Machine Learning (ML) domain, which accounts for 28% of the MLA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~14–24 in this domain), expect 5–8 from this objective — we provide 27 practice questions to prepare you well beyond it. (estimate)

27questions here

6free pages

10concepts

28%of the exam

Questions 6–10

6foundation · easy
Which Amazon SageMaker feature provides a visual interface for importing, transforming, and analyzing data without writing code, and can export the resulting data to the SageMaker Feature Store?
Select an answer first
7foundation · easy
Which AWS storage service provides low-latency block-level storage that can be attached to a single EC2 instance and is ideal for databases or file systems that require high IOPS?
Select an answer first
8application · medium
A healthcare company needs to store patient records for ML research. The data is highly structured, with a fixed schema, and will be accessed frequently for analytical queries. The company has strict data residency requirements and must keep all data within a specific AWS Region. Which storage solution should they choose?
Select an answer first
9foundation · easy
Which data format is designed to be splittable and supports schema evolution, making it a common choice for streaming data ingestion into Amazon Kinesis Data Firehose?
Select an answer first
10foundation · easy
Which AWS service is a serverless data integration service that can be used to create ETL jobs to merge and transform data from multiple sources, such as S3 and RDS, into a target data store?
Select an answer first

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Task 1.1: Ingest and Store Data MLA-C01 Practice Questions (Page 2)

Questions 6–10

Which Amazon SageMaker feature provides a visual interface for importing, transforming, and analyzing data without writing code, and can export the resulting data to the SageMaker Feature Store?

Which AWS storage service provides low-latency block-level storage that can be attached to a single EC2 instance and is ideal for databases or file systems that require high IOPS?

Which data format is designed to be splittable and supports schema evolution, making it a common choice for streaming data ingestion into Amazon Kinesis Data Firehose?

Which AWS service is a serverless data integration service that can be used to create ETL jobs to merge and transform data from multiple sources, such as S3 and RDS, into a target data store?

Keep studying — Content Domain 1: Data Preparation for Machine Learning (ML)