AWS Solutions Architect Associate (SAA-C02) Exam Prep Course - 2021 UPDATED! - Amazon Kinesis Data Analytics

The video tutorial explains Kinesis Data Analytics, focusing on real-time data stream analysis using SQL queries. It highlights the ability to filter and process data mid-stream, supporting multiple concurrent consumers like Redshift and S3. The tutorial covers input sources such as Kinesis Data Firehose and output options including business analytics software. It also discusses use cases like filtering news articles and integrating machine learning tools for advanced analysis.

What is the primary function of Kinesis Data Analytics?

• To manage cloud infrastructure

• To create mobile applications

• To analyze real-time data streams

• To store large amounts of data

Which of the following is NOT a consumer that can pull data from Kinesis Data Analytics?

• Redshift

• S3

• Elasticsearch

• Google Cloud Storage

What are the primary input sources for Kinesis Data Analytics?

• Kinesis Data Firehose and Kinesis Data Streams

• Local databases

• Social media platforms

• Mobile phones and tablets

How does Kinesis Data Analytics treat its input data?

• As a CSV file

• As a JSON object

• As a binary file

• As a standard SQL data source

What is a potential use case for Kinesis Data Analytics mentioned in the video?

• Creating video games

• Filtering news articles for an organization

• Designing web pages

• Developing mobile apps