A Machine Learning Specialist Stores IoT Soil Sensor Data in Amazon

question 25

Multiple Choice

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?

• A) Launch an Amazon EMR cluster. Create an Apache Hive external table for the DynamoDB table and S3 data. Join the Hive tables and write the results out to Amazon S3.
• B) Crawl the data using AWS Glue crawlers. Write an AWS Glue ETL job that merges the two tables and writes the output to an Amazon Redshift cluster.
• C) Enable Amazon DynamoDB Streams on the sensor table. Write an AWS Lambda function that consumes the stream and appends the results to the existing weather files in Amazon S3.
• D) Crawl the data using AWS Glue crawlers. Write an AWS Glue ETL job that merges the two tables and writes the output in CSV format to Amazon S3.

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Definitions:

TAM

Total Addressable Market, which refers to the overall revenue opportunity available or potential market for a product or service.

Exclusionary Personas

User archetypes designed to outline the characteristics of potential users who are specifically not the target audience for a product or service, aiming for a more focused marketing strategy.

Entrepreneur

A person who creates, organizes, and manages a business venture, taking on financial risks in hopes of profit.

Early Majority

A term used in the diffusion of innovations theory to describe the first significant segment of the population to adopt a new product or innovation after the early adopters.