MLS-C01 Question 35
Single answerYou are a Machine Learning Engineer tasked with streaming real-time user activity data from a web application into Amazon S3 for later analysis. The data needs to be compressed to reduce storage costs and delivered in a format suitable for downstream analytics. Which feature of Amazon Kinesis Data Firehose can help you achieve this?
- A
Data Transformation using AWS Lambda
- B
Data Format Conversion
- C
Record Aggregation
- D
Data Encryption
Show answer and explanation
Correct answer: B
Explanation
Amazon Kinesis Data Firehose provides a feature called Data Format Conversion, which allows you to convert incoming data into formats suitable for analytics, such as Apache Parquet or ORC. It also supports compression, which helps reduce storage costs. This makes it the ideal solution for the given scenario where the data must be compressed and converted for downstream analytics.
- A. Incorrect.
While Data Transformation using AWS Lambda allows you to modify or enrich data in transit, it does not handle compression or format conversion directly, which is the primary requirement in this scenario.
- B. Correct.
Data Format Conversion in Amazon Kinesis Data Firehose allows you to convert incoming data into formats like Apache Parquet or ORC. In addition, it can compress the data to save storage space, making it the correct choice for this scenario.
- C. Incorrect.
Record Aggregation is used to combine multiple records into a single PUT request to optimize throughput, but it is unrelated to format conversion or compression.
- D. Incorrect.
Data Encryption ensures that the data is secure during transit or at rest, but it does not address the need for format conversion or compression.