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

The video tutorial covers the essentials of Apache Kafka and Amazon MSK, focusing on their architecture, features, and differences from Kinesis. It explains how to configure MSK clusters, emphasizing security measures like encryption and authentication. The tutorial also highlights monitoring techniques and concludes with a comparison of Kafka and Kinesis, preparing students for the data analytics specialty exam.

What is the primary focus of the data analytics specialty exam regarding Kafka?

• Developing applications using Kafka

• Configuring Kafka for large-scale data processing

• Understanding MSK architecture and differences with Kinesis

• Hands-on experience with Kafka

Which feature of Kafka allows it to handle larger message sizes compared to Kinesis?

• Enhanced security protocols

• Automatic scaling

• Customizable message size configuration

• Built-in data compression

What is a key difference between Kafka and Kinesis in terms of configuration?

• Kafka supports only one availability zone

• Kinesis supports larger message sizes by default

• Kinesis allows for more custom configurations

• Kafka is more configurable, allowing for custom cluster setups

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

• Kafka ACLs

• Mutual TLS

• SASL SCRAM

• IAM Access Control

What is the role of Kafka ACLs in security?

• They manage network security between brokers

• They provide monitoring capabilities

• They define who can read and write to topics

• They encrypt data at rest

Which tool is used for open-source monitoring in MSK?

• Splunk

• Grafana

• Prometheus

• CloudWatch

How is MSK described in relation to Kinesis?

• A less flexible solution

• A more expensive option

• A drop-in replacement with more configurability

• A less secure alternative