AWS Certified Solutions Architect Associate (SAA-C03) - Kinesis Data Analytics

The video tutorial introduces Kinesis Data Analytics, highlighting its ability to analyze real-time data streams using standard SQL queries. It supports multiple concurrent consumers, allowing data to be processed and fed into various services like Redshift, S3, and Elasticsearch. The tutorial explains how inputs from Kinesis Data Firehose or Streams are queried to extract relevant data, emphasizing midstream analytics to focus on necessary information. Use cases include filtering news articles for specific keywords, with potential integration of AWS machine learning tools for further analysis.

What is the primary function of Kinesis Data Analytics?

• To store large amounts of data

• To analyze real-time data streams

• To create mobile applications

• To manage cloud infrastructure

Which of the following is NOT a potential consumer of data processed by Kinesis Data Analytics?

• S3

• Elasticsearch

• Google Drive

• Redshift

What type of queries does Kinesis Data Analytics use to process data streams?

• NoSQL queries

• GraphQL queries

• Standard SQL queries

• XML queries

From which sources can Kinesis Data Analytics pull input data?

• Mobile phones and tablets

• Kinesis Data Firehose and Kinesis Data Streams

• Social media platforms

• Local databases

How can Kinesis Data Analytics be used in news article analysis?

• By storing all news articles in a database

• By filtering articles based on keywords and phrases

• By creating new articles automatically

• By translating articles into different languages