MLS-C01 · Question #38
A Mobile Network Operator is building an analytics platform to analyze and optimize a company's operations using Amazon Athena and Amazon S3. The source systems send data in .CSV format in real…
The correct answer is B. Ingest .CSV data from Amazon Kinesis Data Streams and use Amazon Glue to convert data into. 1. Use Glue Crawler to build scheme from the structured csv file. 2. Configure and run a job to transform the data from CSV to Parquet. https://aws.amazon.com/blogs/big-data/build-a-data-lake-foundation-with-aws-glue-and-amazon-
Question
A Mobile Network Operator is building an analytics platform to analyze and optimize a company's operations using Amazon Athena and Amazon S3. The source systems send data in .CSV format in real time. The Data Engineering team wants to transform the data to the Apache Parquet format before storing it on Amazon S3. Which solution takes the LEAST effort to implement?
Options
- AIngest .CSV data using Apache Kafka Streams on Amazon EC2 instances and use Kafka
- BIngest .CSV data from Amazon Kinesis Data Streams and use Amazon Glue to convert data into
- CIngest .CSV data using Apache Spark Structured Streaming in an Amazon EMR cluster and use
- DIngest .CSV data from Amazon Kinesis Data Streams and use Amazon Kinesis Data Firehose to
How the community answered
(43 responses)- A5% (2)
- B56% (24)
- C23% (10)
- D16% (7)
Explanation
- Use Glue Crawler to build scheme from the structured csv file. 2. Configure and run a job to transform the data from CSV to Parquet. https://aws.amazon.com/blogs/big-data/build-a-data-lake-foundation-with-aws-glue-and-amazon-
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