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AWS Certified Solution Architect Associate > Kinesis > Flashcards

Kinesis Flashcards

This deck aims to help retain concepts related to the Kinesis service.

1
Q

Which AWS serverless streaming data service simplifies capturing, processing, and storing data streams at any scale?

A

Kinesis Data Streams - public, regional, and highly available AWS service

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2
Q

What is the minimum and maximum retention period for data in Kinesis Data Streams?

A

By default, Kinesis Data Streams retains data for 24 hours, but this can be extended to up to 365 days for an additional cost

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3
Q

When using Kinesis Data Streams, is it possible to configure more than one producer and consumer?

A

Yes, Kinesis Data Streams supports multiple producers for data ingestion and multiple consumers for data reading

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4
Q

Which Kinesis Data Streams component is responsible for scaling?

A

Shards

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5
Q

Which Kinesis Data Streams components can impact pricing?

A

The number of shards and the configured data retention window (24 hours to 365 days)

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6
Q

Where is data stored in Kinesis Data Streams?

A

Data is stored in Kinesis Data Records, with each record up to 1 MB in size

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7
Q

Which AWS service is ideal for large-scale data ingestion by numerous producers, with multiple consumers processing data at varying rates, for analytics and monitoring application clicks?

A

Amazon Kinesis Data Streams

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7
Q

Which AWS service is used to transfer data from Kinesis Data Streams to other AWS services?

A

Amazon Kinesis Data Firehose

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8
Q

How can Kinesis Video Streams performance be improved?

A

By increasing the number of shards, each shard supports up to 1 MB/s for ingestion and 2 MB/s for consumption

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9
Q

Which AWS serverless service is used to capture, transform, and load large volumes of streaming data from hundreds of thousands of sources into AWS services like S3, Redshift, or OpenSearch?

A

Kinesis Data Firehose

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10
Q

What is the primary purpose of Kinesis Data Firehose?

A

To load data into data lakes, storage solutions, and analytics services

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11
Q

Is Kinesis Data Firehose a real-time service?

A

No, it operates in near-real-time, typically delivering data within ~60 seconds

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12
Q

Can Kinesis Data Firehose perform on-the-fly data transformations?

A

Yes, it can use AWS Lambda for transformations, though this may introduce some latency

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13
Q

How is billing calculated for Kinesis Data Firehose?

A

It is based on the volume of data processed through the service

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14
Q

What are common destinations for Kinesis Data Firehose?

A

S3, Redshift, OpenSearch, HTTP Endpoints, Datadog, Splunk, and ElasticSearch

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15
Q

How does scaling differ between Kinesis Data Firehose and Kinesis Data Streams?

A

Kinesis Data Firehose scales automatically, while Kinesis Data Streams requires manual scaling through shards

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16
Q

What are the primary use cases for Kinesis Data Firehose?

A
  • Persisting data from Kinesis Data Streams
  • Transforming and storing data in different formats
  • Delivering data to supported destinations
16
Q

How do replay capabilities differ between Kinesis Data Firehose and Kinesis Data Streams?

A

Kinesis Data Firehose doesn’t support replay, but Kinesis Data Streams allows data replay

16
Q

What distinguishes Kinesis Data Firehose and Kinesis Data Streams in terms of data persistence?

A

Kinesis Data Firehose doesn’t support data persistence, whereas Kinesis Data Streams can retain data from 24 hours to 365 days

17
Q

How do consumers differ between Kinesis Data Firehose and Kinesis Data Streams?

A

Kinesis Data Firehose is closed-ended with a single destination, while Kinesis Data Streams is open-ended, supporting multiple producers and consumers

18
Q

Can unmodified data be saved when using Lambda for transformation with Kinesis Data Firehose?

A

Yes, unmodified data can optionally be delivered to S3

19
Q

Which service is suitable if Kinesis Data Streams features are unnecessary?

A

Kinesis Data Firehose

20
Q

What AWS service combination supports real-time data transformation?

A

Kinesis Data Streams with Lambda

21
Q

Which AWS service enables real-time analysis of streaming data for actionable insights?

A

Kinesis Data Analytics

22
Q

Which AWS service allows real-time transformations, filtering, and enrichment of streaming data using SQL?

A

Kinesis Data Analytics

23
Q

Is Kinesis Data Analytics a real-time service?

A

Yes, it processes data in real-time

24
Q

What are the main use cases for Kinesis Data Analytics?

A
  • Processing streaming data in real-time with SQL queries (e.g., time-series data, dashboards, or security metrics)
  • Performing complex data manipulations in real-time
25
Q

What data sources are supported by Kinesis Data Analytics?

A

Kinesis Data Streams, Kinesis Data Firehose, and S3 for static reference data

26
Q

What are the supported destinations for Kinesis Data Analytics?

A

Kinesis Data Streams (real-time) and Kinesis Data Firehose (near real-time)

27
Q

How can consumers access data from Kinesis Video Streams?

A

Consumers retrieve data frame-by-frame for further analysis

27
Q

What are typical producers for Kinesis Video Streams?

A

Devices such as security cameras, smartphones, cars, drones, and sources of time-serialized data like thermal, depth, and RADAR streams

27
Q

Which AWS service automatically provisions and scales infrastructure for ingesting live video streams from millions of devices?

A

Kinesis Video Streams

28
Q

Does Kinesis Video Streams integrate with other AWS services?

A

Yes, it integrates with a range of AWS services, commonly used with Rekognition for facial recognition and S3 for data storage

29
Q

Can Kinesis Video Streams handle secure data persistence?

A

Yes, it securely persists data, with encryption both in transit and at rest

30
Q

Can data captured by Kinesis Video Streams be accessed directly from storage?

A

No, data is indexed and structured, so it can only be accessed via APIs

31
Q

How would you configure Kinesis Video Streams for two IP cameras?

A

Each camera streams data to its own video stream

32
Q

When dealing with live video streams, Real-Time Streaming Protocol (RTSP), or GStreamer, which AWS service comes to mind?

A

Kinesis Video Streams

33
Q

Which AWS service supports large-scale data ingestion by multiple producers and consumption by multiple consumers in REAL-TIME?

A

Kinesis Data Streams

34
Q

Which service offers data delivery and transformation capabilities in NEAR-REAL-TIME?

A

Kinesis Data Firehose

35
Q

Which service processes streaming data using SQL in REAL-TIME?

A

Kinesis Data Analytics

AWS Certified Solution Architect Associate (35 decks)

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