You are working as an AWS architect for a global financial company that offers real-time stock trading quotes to customers. You are using Kinesis Data Streams to process stock market feeds from stock exchanges & provide a real-time dashboard to the customers. During stock market hours, many users are accessing these dashboards, while aftermarket hours, there are very few users accessing these dashboards.The management team is looking for an optimum number of Kinesis Shards within Kinesis Data Streams. Which of the following would be an automated solution to achieve this? (Choose 2)

Answer options:

A.Use Application Auto Scaling
B.Use Amazon Kinesis Scaling Utility to modify the number of Shards in Kinesis Data Streams.
C.Use Amazon Kinesis Scaling Utility along with AWS Elastic Beanstalk to automatically modify the number of Shards in Kinesis Data Streams.
D.Use UpdateShardCount to scale Shard count as per requirement.

Correct Answer – A and C
AWS Application Auto scaling can be used to scale Kinesis Streams automatically. For this, CloudWatch can be used to monitor Kinesis Data Stream shard metrics. Based on the changes in these metrics, CloudWatch can initiate a notification to Application Auto Scaling. This will trigger an API Gateway to call Lambda Functions to increase/decrease Kinesis Data Stream Shards` number based upon metric values.
Alternatively, you can use the Amazon Kinesis Scaling Utilities. To do so, you can use each utility manually or automated with an AWS Elastic Beanstalk environment.
Option B is incorrect because Amazon Kinesis Scaling Utility alone is a manual process as per documentation.
Option D is incorrect as using UpdateShardCount will be a manual process.
For more information on Scaling Kinesis Data Streams using Application Auto Scaling and Amazon Kinesis Scaling Utilities, refer to the following URLs-
https://aws.amazon.com/blogs/big-data/scaling-amazon-kinesis-data-streams-with-aws-application-auto-scaling/
https://aws.amazon.com/blogs/big-data/under-the-hood-scaling-your-kinesis-data-streams/