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

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

Assessment

Interactive Video

Information Technology (IT), Architecture, Other

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial covers various methods to consume data from Kinesis Data Streams, including the use of the Kinesis SDK, Kinesis Client Library (KCL), and Lambda. It explains the polling mechanism, its constraints, and how multiple consumers affect throughput. The tutorial also discusses the deprecated Kinesis Connector Library and its alternatives, such as Kinesis Firehose and Lambda. Additionally, it highlights the use of DynamoDB for coordination and checkpointing in KCL and the role of Lambda in real-time data processing and notifications.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the maximum aggregate throughput per shard for classic consumers in Kinesis Data Streams?

1 MB for producers, 2 MB for consumers

5 MB for consumers only

2 MB for producers, 1 MB for consumers

3 MB for both producers and consumers

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which library is primarily used for reading records from Kinesis Data Streams and supports multiple programming languages?

Apache Spark

Kinesis Connector Library

Kinesis Client Library (KCL)

Kinesis SDK

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of DynamoDB in the Kinesis Client Library (KCL) setup?

To store data streams

To coordinate and checkpoint data processing

To replace Kinesis Firehose

To enhance data throughput

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which library has been largely replaced by Kinesis Firehose and AWS Lambda for writing data to AWS services?

Apache Spark

Kinesis Connector Library

Kinesis SDK

Kinesis Client Library (KCL)

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key feature of AWS Lambda when integrated with Kinesis Data Streams?

It cannot interact with other AWS services

It can only process data in batches of 1000 records

It requires manual scaling for data processing

It can perform lightweight ETL and trigger real-time notifications

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does AWS Lambda handle data from Kinesis Data Streams?

By using a fixed batch size of 500 records

By using a polling mechanism

By using a push mechanism

By using a configurable batch size

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a destination for data processed by AWS Lambda from Kinesis Data Streams?

Redshift

DynamoDB

Amazon S3

Google Cloud Storage