AWS Solutions Architect Associate (SAA-C02) Exam Prep Course - 2021 UPDATED! - Kinesis in Amazon Web Services (AWS)

The video tutorial introduces AWS Kinesis, a service for processing real-time data streams. It explains the importance of real-time analytics, highlighting Kinesis's role in managing data streams without needing a database. The tutorial covers different Kinesis operating modes, including data streams, Firehose, and analytics, and discusses the benefits of using Kinesis, such as its fully managed architecture. Applications of Kinesis in social media sentiment analysis are also explored, emphasizing its utility in scenarios requiring immediate data evaluation.

What is the primary function of AWS Kinesis?

• To process streaming data in real-time

• To provide virtual machines

• To store data in a database

• To manage cloud storage

Which Kinesis service is focused on processing video streams?

• Kinesis Video Streams

• Kinesis Data Analytics

• Kinesis Data Firehose

• Kinesis Data Streams

Which Kinesis service combines analytics and data streams?

• Kinesis Data Firehose

• Kinesis Video Streams

• Kinesis Data Streams

• Kinesis Data Analytics

What is a key benefit of using Kinesis for data processing?

• It is limited to database storage

• It requires extensive custom coding

• It is a fully managed service

• It only works with batch data

In the context of Kinesis, what are 'producers'?

• Applications that send data to Kinesis

• Applications that receive data from Kinesis

• The database where data is stored

• The analytics engine within Kinesis

What is the role of 'consumers' in Kinesis?

• They manage cloud storage

• They send data to Kinesis

• They store data in a database

• They receive data from Kinesis

How does Kinesis help in social media sentiment analysis?

• By storing all tweets in a database

• By analyzing data streams in real-time

• By generating virtual machines for analysis

• By providing a platform for video streaming