Practice Test 2 | AWS Certified Cloud Practitioner | CLF-C01 | Dumps | Mock Test
You want to create a stream processing solution to process and query real-time streaming data using a SQL-based solution. You are looking for the simplest approach available that AWS provides.
What AWS service should you use?
A. Amazon Kinesis Data Streams
B. Amazon Kinesis Data Analytics
C. Amazon Kinesis Client Library
D. Amazon Kinesis Data Firehose
Answer: B
- Option A is INCORRECT because Amazon Kinesis Data Streams is not an AWS service to build analytics applications. It is an ingestion service that provides data streams to consumers (e.g., analytic applications).
AWS documentation mentions that “Amazon Kinesis Data Streams (KDS) is a massively scalable and durable real-time data streaming service…. The data collected is available in milliseconds to enable real-time analytics use cases such as real-time dashboards, real-time anomaly detection, dynamic pricing, and more”.
- Option B is CORRECT because AWS documentation (FAQ section) mentions that “If you want a fully managed solution and you want to use SQL to process the data from your data stream, you should use Kinesis Data Analytics”.
- Option C is INCORRECT because Amazon Kinesis Client Library (KCL) is a service to process and query streaming data using SQL. KCL is more complicated than AWS Kinesis Data Analytics.
AWS documentation mentions that “Kinesis Data Analytics uses the KCL to read data from streaming data sources as one part of your underlying application. The service abstracts this from you, as well as many of the more complex concepts associated with using the KCL, such as checkpointing”.
- Option D is INCORRECT because Amazon Kinesis Data Firehose is a service for loading data streams and not creating SQL-based applications.
Diagram: none
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