Kafka for Developers - Data Contracts Using Schema Registry - Publish and Consumer Record Using Schema Registry

Kafka for Developers - Data Contracts Using Schema Registry - Publish and Consumer Record Using Schema Registry

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The lecture covers how to set up a producer and consumer to interact with a Schema Registry using Kafka Avro serializers and deserializers. It explains the configuration needed for both producer and consumer, including setting up the schema registry URL and handling generic records. The video also demonstrates testing the setup and troubleshooting common issues like class cast exceptions.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary role of the Kafka Avro serializer in the producer setup?

To encrypt data for security

To compress data before sending

To interact with the Schema Registry and manage schema versions

To convert records into JSON format

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of changing the Kafka topic name to 'senior' in the producer setup?

To enable faster data processing

To avoid confusion with previous lectures

To improve data security

To enhance data compression

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which configuration is essential for the consumer to correctly parse records from the Schema Registry?

Kafka topic config

Kafka Avro serializer config

Schema registry URL config

Specific Avro reader config

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might there be a delay when publishing a record for the first time?

Due to network latency

Because the producer is waiting for consumer acknowledgment

Because the producer is establishing a connection with the Schema Registry

Due to data encryption processes

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the schema version ID in the interaction with the Schema Registry?

To encrypt the data

To provide a timestamp for the record

To identify the schema used for a record

To compress the data

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens if the specific Avro reader config is not set in the consumer?

The consumer will treat records as generic data records

The consumer will not be able to read any records

The consumer will automatically set the config to true

The consumer will throw a network error

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can a consumer handle multiple event types being published to the same topic?

By setting the specific Avro reader config to false

By using a custom serializer

By treating records as generic records

By using a different Kafka topic for each event type