AWSCertified Machine Learning Engineer - Associate
Domain 1Objective 1
Task 1.1: Ingest and Store Data MLA-C01 Practice Questions (Page 1)
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 1–5
- 1
Which data format is most suitable when you need to support schema evolution and have a write-heavy workload where data is appended frequently, such as in a streaming pipeline?
Select an answer first - 2
Which Amazon EBS volume type is designed to provide high, consistent IOPS for demanding workloads such as large databases and is available with a provisioned IOPS guarantee?
Select an answer first - 3
Which storage service is the most appropriate initial choice for a large, unstructured ML dataset (e.g., terabytes of images) that needs to be stored durably and accessed by multiple processing jobs, with the ability to use lifecycle policies to reduce costs?
Select an answer first - 4
Which AWS service can be used to monitor and troubleshoot data ingestion pipelines by providing metrics and logs, such as the number of records ingested and the age of the oldest record in a Kinesis stream?
Select an answer first - 5
Which Amazon SageMaker service is used to create, store, and share machine learning features for reuse across training and inference, enabling feature consistency?
Select an answer first
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