A company uses Amazon Kinesis Data Streams to ingest telemetry data from IoT devices. The data volume has doubled, and the consumer applications are falling behind, resulting in a high `GetRecords.IteratorAgeMilliseconds` metric. How should a solutions architect resolve this?

Answer options:

Increase the retention period of the stream.

Split the shards in the Kinesis Data Stream.

Merge the shards in the Kinesis Data Stream.

Change the consumer application to use long polling.

How to approach this question

Identify the capacity issue in Kinesis. Throughput is scaled by adding (splitting) shards.

Full Answer

B.Split the shards in the Kinesis Data Stream.✓ Correct

Split the shards in the Kinesis Data Stream.

The capacity of a Kinesis Data Stream is determined by the number of shards. If consumers are falling behind (high IteratorAge), you need to increase the stream's capacity by splitting existing shards, which allows for more parallel processing.

Common mistakes

Increasing retention period, which only delays data loss but doesn't fix the bottleneck.

Question 49 All questions Question 51

Practice the full AWS SAA-C03 Practice Exam 3

65 questions · hints · full answers · grading

More questions from this exam

Q01A company stores sensitive documents in an Amazon S3 bucket. The security team requires that only...Easy Q02A large enterprise uses AWS Organizations to manage multiple accounts. The security team wants to...Medium Q03A company hosts a web application on Amazon EC2 instances behind an Application Load Balancer (AL...Easy Q04A company wants to continuously monitor its AWS accounts for malicious activity and unauthorized ...Medium Q05A company needs to encrypt data at rest in Amazon RDS and manage database credentials securely. T...Medium

View all 65 questions →