Question 1
A data engineer needs to ingest real-time clickstream data from a web application into an ML pipeline for near-real-time feature generation. Which AWS service is most appropriate for ingesting this streaming data?
Correct Answer:
Amazon Kinesis Data Streams
Question 2
A data scientist needs to store large datasets for ML training. The data consists of structured CSV files, semi-structured JSON logs, and unstructured image files. Which storage solution provides the best foundation for an ML data lake?
Correct Answer:
Amazon S3 as a unified data lake with appropriate prefixes
Question 3
A data engineer needs to transform raw CSV files in S3 into Parquet format with schema validation before they are used for ML training. Which serverless ETL service should be used?
Correct Answer:
AWS Glue ETL
Question 4
A data engineer needs to orchestrate a complex ML data pipeline that includes data ingestion from multiple sources, transformation, feature engineering, and loading into a feature store. The pipeline should run on a schedule and handle dependencies between steps. Which AWS service should orchestrate this pipeline?
Correct Answer:
AWS Glue Workflows
Question 5
A data engineer is building an ML pipeline and needs to process streaming data using Apache Spark for real-time feature computation. The solution should be fully managed and scale automatically. Which AWS service should be used?
Correct Answer:
Amazon Managed Service for Apache Flink
Question 1
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Prepare with the AWS Machine Learning Specialty Practice Questions - AWS Certified Machine Learning - Specialty (MLS-C01) Exam - Variant 2 practice quiz. This question bank includes 100 questions covering data, scientist, model, sagemaker, and needs. Use it to review important concepts, identify knowledge gaps, and build confidence for the related exam, course, or assessment.

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AWS Machine Learning Specialty Practice Questions - AWS Certified Machine Learning - Specialty (MLS-C01) Exam - Variant 2

This practice set contains 100 questions from the matching question bank and focuses on data, scientist, model, sagemaker, and needs. Work through each question carefully, review the provided solutions, and revisit topics that need more study before your next attempt.

This is an independent study resource intended for practice and review; it is not an official examination or an endorsement by any organization named in the title.

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