Case Study - Logging and Metrics Aggregation

Case Study - Logging and Metrics Aggregation

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains how Kafka is used for logging and metrics aggregation by collecting application logs and metrics and sending them to platforms like Splunk. Kafka acts as a centralized logging platform, receiving data from various applications and forwarding it to a single endpoint. Kafka Connect is used to transfer logs and metrics efficiently. The tutorial concludes with a summary of various use cases and Kafka components, providing a comprehensive understanding of Kafka's role in data management.

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5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary role of Kafka in logging and metrics aggregation?

To directly send logs to Splunk

To act as a database

To gather application logs and metrics

To replace CloudWatch

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Kafka help in simplifying the data flow to systems like Splunk?

By replacing all other logging tools

By storing data permanently

By acting as a centralized logging platform

By directly analyzing the data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What tool is used to send data from Kafka to Splunk?

Kafka Consumer

Kafka Producer

Kafka Connect

Kafka Streams

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the responsibility of applications in the Kafka logging setup?

To send logs and metrics to Kafka

To manage Kafka Connect

To send data directly to Splunk

To analyze the data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a component of Kafka mentioned in the lecture?

Kafka Connect

Kafka Producer

Kafka Streams

Kafka Analyzer

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