AWS Certified Data Analytics Specialty 2021 - Hands-On! - Kinesis Data Firehose

The video tutorial provides an in-depth overview of Amazon Kinesis Data Firehose, a fully managed service for real-time data streaming. It covers key features such as automatic scaling, data transformation, and compression. The tutorial explains the integration with various AWS services and highlights the differences between Kinesis Data Streams and Firehose. It also discusses buffer sizing, data delivery, and error handling mechanisms, emphasizing the importance of understanding these concepts for AWS certification exams.

What is a key feature of Kinesis Data Firehose that differentiates it from Kinesis Data Streams?

• Manual scaling

• Near real-time processing

• Real-time processing

• Data replay capability

Which of the following is NOT a destination for Kinesis Data Firehose?

• Amazon Redshift

• Elasticsearch

• Amazon DynamoDB

• Amazon S3

How can data be transformed from CSV to JSON in Kinesis Data Firehose?

• Using Kinesis Data Streams

• Using Amazon S3

• Using Amazon Redshift

• Using AWS Lambda

Which compression formats are supported by Kinesis Data Firehose when targeting Amazon S3?

• gzip, zip, snappy

• gzip, zip, tar

• zip, tar, snappy

• gzip, tar, snappy

Which of the following can directly write data into Kinesis Data Firehose?

• AWS Glue

• Amazon RDS

• Amazon DynamoDB

• Kinesis Data Streams

What is the minimum buffer time setting for Kinesis Data Firehose?

• 5 minutes

• 2 minutes

• 1 minute

• 30 seconds

Which service requires custom code for producers and consumers, Kinesis Data Streams or Kinesis Data Firehose?

• Kinesis Data Firehose

• Neither require custom code

• Kinesis Data Streams

• Both require custom code