AWS Certified Data Analytics Specialty 2021 – Hands-On - Kinesis Analytics Costs; RANDOM_CUT_FOREST

The video tutorial covers AWS Kinesis Analytics, focusing on its cost, security, and features like Schema Discovery and Random Cut Forest for anomaly detection. It emphasizes the importance of managing costs and securing applications using IAM permissions. The tutorial also introduces a hands-on example to demonstrate these concepts in practice.

What is a key consideration when using Kinesis Analytics in terms of cost?

• It offers a fixed monthly rate.

• It can incur significant charges if not managed carefully.

• It is cheaper than other serverless services.

• It is free for all AWS users.

How can you control access to streaming sources and destinations in Kinesis Analytics?

• By using CloudFront distributions.

• By using AWS Lambda functions.

• By setting up VPC peering.

• By configuring IAM permissions.

What does the Schema Discovery feature in Kinesis Analytics do?

• It encrypts data streams for security.

• It provides real-time data visualization.

• It identifies column names in SQL by analyzing data streams.

• It automatically scales the application.

What is the purpose of the Random Cut Forest feature in Kinesis Analytics?

• To provide cost estimates for data processing.

• To detect anomalies in numeric data streams.

• To enhance data encryption.

• To improve data streaming speed.

Which real-world example is used to illustrate the Random Cut Forest feature?

• Tracking weather patterns for climate studies.

• Detecting fraudulent transactions in banking.

• Identifying anomalous subway ridership during a marathon.

• Monitoring server performance in data centers.