AmazonAmazon
MLA-C01 · Question #237
MLA-C01 Question #237: Real Exam Question with Answer & Explanation
Sign in or unlock MLA-C01 to reveal the answer and full explanation for question #237. The question stem and answer options stay visible for context.
Data Preparation for Machine Learning
Question
An ML engineer is building an ML model in Amazon SageMaker AI. The ML engineer needs to load historical data directly from Amazon S3, Amazon Athena, and Snowflake into SageMaker AI. Which solution will meet this requirement?
Options
- AUse AWS Glue DataBrew to import the data into SageMaker AI.
- BBuild a pipeline in SageMaker Pipelines to process the data. Use AWS DataSync to load the
- CCreate a feature store in SageMaker Feature Store. Use an Apache Spark connector to Feature
- DUse SageMaker Data Wrangler to query and import the data.
Unlock MLA-C01 to see the answer
You've previewed enough free MLA-C01 questions. Unlock MLA-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.
Topics
#SageMaker Data Wrangler#Data Ingestion#Multi-source Data Loading#Data Preparation