Kafka for Developers - Data Contracts Using Schema Registry - Produce and Consume Using AVRO Console Producer and Consum

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Information Technology (IT), Architecture
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main focus of this lecture compared to the previous one?
Interacting with a broker container
Using a different JVM process
Creating and using a schema
Publishing schema-less messages
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key difference when using the Kafka Avro console producer?
It allows passing the schema as part of the producer
It is part of the broker distribution
It does not interact with the schema registry
It does not require a schema
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it necessary to log into the schema registry before running certain commands?
To format the schema
To access the broker list
To use the Kafka Avro console producer
To create a greetings topic
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What indicates that a message is published with the correct schema?
The process getting killed
Not receiving any error messages
Seeing a parsing exception
Receiving a syntax error
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens if a message does not match the registered schema?
The process gets killed due to a serialization error
The process continues without issues
The message is automatically corrected
The message is published as a string
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the advantage of using a schema registry with Avro?
It guarantees a fixed data structure
It allows for schema-less message production
It simplifies the command line interface
It eliminates the need for a broker
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the byte array serializer in the process?
It converts JSON to a byte array
It converts JSON to a string
It formats the schema into multiple lines
It reads bytes and converts them to a string
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