AWS Certified Data Analytics Specialty 2021 - Hands-On! - [Exercise] Kinesis Analytics - Part 1

This video tutorial covers the setup of a complex application using AWS services to monitor unusual activities on a website. It explains the architecture involving Kinesis Data Streams, Kinesis Data Analytics, AWS Lambda, and SNS to create an alert system. The tutorial guides through setting up the AWS console, creating data streams, configuring Kinesis Data Analytics, and writing SQL queries to monitor data. It concludes with testing the system to ensure it functions as intended.

What is the threshold for detecting unusual activity on the Kadabra Acom site?

• More than 20 orders in 20 seconds

• More than 15 orders in 15 seconds

• More than 10 orders in 10 seconds

• More than 5 orders in 5 seconds

Which AWS service is used to monitor the order logs in real-time?

• AWS Kinesis Data Streams

• AWS EC2

• AWS S3

• AWS RDS

What role does AWS Lambda play in the system architecture?

• It stores the order logs

• It triggers notifications when unusual activity is detected

• It processes the data stream

• It manages user authentication

What is the purpose of creating a second data stream in the AWS console setup?

• To store backup data

• To reduce costs

• To feed alarms into the system

• To increase data processing speed

Why is schema discovery important in the Kinesis Data Analytics setup?

• It increases the speed of data ingestion

• It helps in identifying the data format automatically

• It enhances data security

• It reduces the cost of data processing

What is the purpose of the sliding window in the SQL logic?

• To store historical data

• To monitor data over a fixed time period

• To increase data processing speed

• To reduce data storage costs

How does the alarm stream help in managing notifications?

• It sends notifications every second

• It cancels notifications if not acknowledged

• It limits notifications to one per minute

• It stores notifications for future reference