MLS-C01 Web TestEngine Demo

Q45 Single choice

A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.

The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:

1. Real-time analytics
2. Interactive analytics of historical data
3. Clickstream analytics
4. Product recommendations

Which services should the Specialist use?

A
AWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for
real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream
analytics; Amazon EMR to generate personalized product recommendations
B
Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS
Glue to generate personalized product recommendations
C
AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for
historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream
analytics; Amazon EMR to generate personalized product recommendations
D
Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue
to generate personalized product recommendations

MLS-C01 Web TestEngine demo