Free MLA-C01 Web TestEngine Demo

Q12 Single choice

A company is developing a real-time data processing pipeline for an e-commerce application that generates large volumes of clickstream data. The data needs to be ingested, processed, and visualized in near real-time. Additionally, the solution must support SQL for data processing and Jupyter notebooks for interactive analysis.

Which solution would best meet these requirements?

A
Use Amazon Data Firehose to ingest the data. Create an AWS Lambda function to process the data.
Store the processed data in Amazon S3. Use Amazon QuickSight to visualize the data.
B
Use Amazon Kinesis Data Streams to ingest the data. Use Amazon Data Firehose to transform the data. Use Amazon Athena to process the data. Use Amazon QuickSight to visualize the data.
C
Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data. Use AWS Glue with PySpark to process the data. Store the processed data in Amazon S3. Use Amazon QuickSight to visualize the data.
D
Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data. Use Amazon Managed Service for Apache Flink to process the data. Use the built-in Flink dashboard to visualize the data.

MLA-C01 Web TestEngine demo