MLS-C01 · Question #170
MLS-C01 Question #170: Real Exam Question with Answer & Explanation
The correct answer is D: Crawl the data using AWS Glue crawlers.. AWS Glue can connect with DynamoDB and join both data sets together via Glue Studio. Requiring minimal overheads.
Question
A machine learning specialist stores IoT soil sensor data in Amazon DynamoDB table and stores weather event data as JSON files in Amazon S3. The dataset in DynamoDB is 10 GB in size and the dataset in Amazon S3 is 5 GB in size. The specialist wants to train a model on this data to help predict soil moisture levels as a function of weather events using Amazon SageMaker. Which solution will accomplish the necessary transformation to train the Amazon SageMaker model with the LEAST amount of administrative overhead?
Options
- ALaunch an Amazon EMR cluster.
- BCrawl the data using AWS Glue crawlers.
- CEnable Amazon DynamoDB Streams on the sensor table.
- DCrawl the data using AWS Glue crawlers.
Explanation
AWS Glue can connect with DynamoDB and join both data sets together via Glue Studio. Requiring minimal overheads.
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