AWSCertified Machine Learning Engineer - Associate
Domain 1Objective 1
Task 1.1: Ingest and Store Data MLA-C01 Practice Questions (Page 5)
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 21–25
- 21
A gaming company needs to ingest player activity events (e.g., game start, level up) from millions of players in real time. The events are JSON messages. The ML team wants to use Apache Kafka for stream processing because they have existing Kafka expertise. They need a managed Kafka service on AWS. Which service should they use?
Select an answer first - 22
A genomics research lab runs compute-intensive ML workloads on a cluster of EC2 instances. The lab needs a shared, high-throughput file system that can be mounted on all instances concurrently, and it requires POSIX permissions. The data is stored in a NetApp ONTAP environment on-premises, and the lab wants to replicate it to AWS for processing. Which AWS storage service should they use?
Select an answer first - 23
Which open-source streaming platform is commonly used for building real-time data pipelines and can be self-managed on Amazon EC2 or used with Amazon Managed Streaming for Apache Kafka (Amazon MSK)?
Select an answer first - 24
Which AWS service is a fully managed streaming data service that allows you to collect, process, and analyze real-time data at scale, and can directly ingest data from sources like IoT devices and application logs?
Select an answer first - 25
Which AWS storage service is best suited for storing large volumes of unstructured ML training data (e.g., images, videos, and raw logs) in a cost-effective, highly durable object store?
Select an answer first
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