AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Kinesis Analytics, Part 1

The video tutorial explains how to set up a rate alarm system using AWS services. It covers the process of monitoring incoming orders through server logs on an EC2 instance, using Kinesis data streams and analytics, and integrating with Lambda and SNS for notifications. The tutorial provides step-by-step instructions on creating and configuring Kinesis data streams, setting up an EC2 instance, and configuring the Kinesis agent. The goal is to detect unusual traffic patterns and send alerts to a cell phone.

What is the primary purpose of the rate alarm system discussed in the video?

• To monitor server performance

• To detect unusual traffic patterns

• To improve user interface

• To enhance data storage

Which AWS service is used for real-time data analytics in the system?

• Amazon S3

• Amazon RDS

• Amazon EC2

• Amazon Kinesis Data Analytics

What tool is integrated with Kinesis Data Analytics for enhanced functionality?

• TensorFlow

• Apache Spark

• Hadoop

• Apache Flink

What is the first step in setting up the Kinesis Data Streams?

• Create an EC2 instance

• Configure SNS notifications

• Set up a Lambda function

• Create a data stream

What file format is used to convert data before feeding it into the Kinesis stream?

• XML

• JSON

• CSV

• YAML

Why is a Lambda function used in the system?

• To reduce costs

• To enhance security

• To provide flexibility in data processing

• To store data

What is the role of the Kinesis agent in the system?

• To send logs to the Kinesis stream

• To manage user access

• To process data

• To store data