Amazon Kinesis: Real-Time Data Processing

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Questions and Answers

What is the maximum record size that can be stored in a Kinesis shard?

1 MB (correct)

2 MB

5 MB

10 MB

What is the default retention period for data in Kinesis Data Streams?

48 hours

7 days

12 hours

24 hours (correct)

What is the primary difference between Kinesis Data Streams and Kinesis Firehose?

Kinesis Data Streams is used for streaming video data, while Kinesis Firehose is used for streaming text data.

Kinesis Firehose is used for real-time processing of streaming data, while Kinesis Data Streams is used for batch processing.

Kinesis Data Streams stores data for later processing by applications, while Kinesis Firehose delivers data directly to AWS services. (correct)

Kinesis Firehose is more scalable than Kinesis Data Streams.

What is the maximum number of shards that can be created in a Kinesis stream?

Unlimited Signup and view all the answers

Which of the following is NOT a use case for Kinesis Data Streams?

Streaming video from connected devices Signup and view all the answers

What is the maximum write throughput for a single Kinesis Video Streams shard?

2 MB per second Signup and view all the answers

What is the purpose of the partition key in a Kinesis record?

To ensure that records are distributed evenly across shards Signup and view all the answers

Which of the following statements about Kinesis Video Streams is TRUE?

Kinesis Video Streams supports encryption at rest with server-side encryption (KMS) with a customer master key. Signup and view all the answers

What is a feature of Amazon Kinesis Data Analytics?

Provides real-time analysis Signup and view all the answers

What is the purpose of the Kinesis Client Library?

To read records from a Kinesis Stream with distributed applications Signup and view all the answers

What is a component of a Kinesis Data Analytics application?

SQL query Signup and view all the answers

How does the Kinesis Client Library manage record processors?

Manages the number of record processors relative to the number of shards and consumers Signup and view all the answers

What is a feature of Kinesis Data Streams?

Provides encryption at rest using KMS Signup and view all the answers

What is a use case for Kinesis Data Analytics?

Quickly author and run powerful SQL code against streaming sources Signup and view all the answers

What is a benefit of using Kinesis Client Library?

Ensures that for every shard there is a record processor Signup and view all the answers

What is a security feature of Kinesis?

Control access using IAM policies Signup and view all the answers

What is the maximum size of a data blob in a single record for Kinesis Data Streams?

1 MB Signup and view all the answers

What is the main function of Kinesis Data Firehose?

To capture, transform, and load streaming data Signup and view all the answers

Which operation increases the number of shards in an Amazon Kinesis data stream?

Shard split Signup and view all the answers

What is the unit of data stored in a Kinesis Data Stream called?

Record Signup and view all the answers

What must a producer and consumer application have to access an encrypted Kinesis stream?

Permission to access the KMS master key Signup and view all the answers

Which of the following is NOT a characteristic of Kinesis Data Streams?

Automates the management of delivery streams Signup and view all the answers

What does a partition key do in a Kinesis Data Stream?

It determines the shard to which a record is sent Signup and view all the answers

What is the primary difference between data stored in Kinesis Data Streams and Kinesis Data Firehose?

Data in Firehose can be transformed before delivery Signup and view all the answers

How long can Kinesis Data Firehose store data records before delivery?

24 hours Signup and view all the answers

Study Notes

Amazon Kinesis Overview

Amazon Kinesis facilitates real-time collection, processing, and analysis of streaming data for timely insights.
Data processing occurs in "shards," with each shard capable of ingesting 1000 records per second.
Default limit is 500 shards, expandable upon request without limit.
Records are comprised of a partition key, sequence number, and data blob (up to 1 MB).
Transient data storage is available with a default retention of 24 hours, extendable to 7 days.

Kinesis Video Streams

Enables secure video streaming from connected devices for analytics and machine learning.
Stores, encrypts, and indexes video data streams with easy API access.
Default data retention period is 24 hours, extendable to 7 days.
Supports 5 transactions per second for reading, with a maximum read rate of 2MB/second and write rate of 1000 records/second.
Multiple shards are supported in a stream, with server-side encryption using KMS.

Kinesis Data Streams

Allows creation of custom applications for processing or analyzing streaming data.
Ideal for continuous movement and processing of data from producers.
Data is stored for later application processing, differentiating from Kinesis Firehose which delivers data directly.
Utilizes records composed of a sequence number, partition key, and data blob.
Shards serve as the base throughput unit, with each providing 1MB/sec input and 2MB/sec output capacity.

Resharding in Kinesis Data Streams

Resharding can increase or decrease the number of shards based on data flow rate.
Shard splitting increases both the number of shards and data capacity, while merging reduces them.
Partition keys are essential for grouping data by shard.

Kinesis Data Firehose

Simplifies the process of loading streaming data into data stores and analytics tools.
Captures, transforms, and loads streaming data without the need for application management.
Configurable to batch, compress, and encrypt data before delivery.
Supports delivery streams storing data for up to 24 hours; uses sync replication across three availability zones.

Kinesis Data Analytics

Helps in processing and analyzing real-time streaming data using standard SQL queries.
Ingests data from Kinesis Streams and Firehose, with output options to S3, RedShift, Elasticsearch, and Kinesis Data Streams.
Composed of three application components with configurable destinations for results persistence.

Kinesis Client Library (KCL)

Java library for reading records from Kinesis Streams in distributed applications.
Acts as an intermediary, ensuring one record processor per shard while managing multiple shards per worker.
Checkpoints progress in DynamoDB and supports deployments on EC2 and Elastic Beanstalk.

Security Features

Access control managed through IAM policies, with encryption in transit using HTTPS.
Data at rest is encrypted using KMS, with options for client-side encryption.
VPC endpoints are available for secure Kinesis access within a Virtual Private Cloud.

Each service is optimized for different messaging and streaming use cases, with Kinesis focusing on real-time data streams.

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Description

Learn about Amazon Kinesis, a service for processing streams of data in real-time, including its features and limitations. Understand how data is processed in shards and the components of a record.