AWS Certified Data Analytics Specialty 2021 – Hands-On - MSK: Managed Streaming for Apache Kafka

The video tutorial covers the essentials of Apache Kafka and Amazon MSK, focusing on their roles in AWS Data and Analytics exams. It explains MSK's architecture, configuration, and its advantages over Kinesis, such as message size flexibility and custom configurations. The tutorial also delves into security aspects, including encryption and authentication methods, and concludes with monitoring techniques for MSK clusters.

What is the primary purpose of Amazon MSK?

• To store large amounts of data in a data lake

• To provide a fully managed Apache Kafka service

• To offer a serverless compute service

• To manage and scale MySQL databases

Which of the following is a key difference between Kafka and Kinesis?

• Kafka supports larger message sizes with custom configurations

• Kinesis allows for more flexible data retention policies

• Kinesis supports automatic scaling of clusters

• Kafka is a serverless service

In Kafka, what is the role of a producer?

• To consume data from Kafka topics

• To replicate data across availability zones

• To manage Kafka broker nodes

• To send data to Kafka topics

Which security mechanism in Kafka uses TLS certificates for both encryption and authentication?

• SASL SCRAM

• Kafka ACLs

• Mutual TLS

• IAM Access Control

What is the purpose of Kafka ACLs?

• To encrypt data at rest

• To define access control at the topic level

• To monitor Kafka clusters

• To manage Kafka broker instances

Which tool can be used for open-source monitoring of Kafka clusters?

• CloudWatch

• Prometheus

• AWS Config

• AWS Lambda

Where can broker logs be delivered in AWS MSK?

• Amazon Redshift, AWS Step Functions, or AWS IoT

• Amazon EC2, AWS Glue, or AWS Batch

• AWS Lambda, Amazon RDS, or DynamoDB

• Amazon S3, CloudWatch Logs, or Kinesis Data Streams