Kafka for Developers - Data Contracts Using Schema Registry - Data Evolution and Schema Evolution
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec β’ 1 pt
What is the initial step in the data life cycle?
Data analysis
Data creation
Data deletion
Data storage
2.
MULTIPLE CHOICE QUESTION
30 sec β’ 1 pt
What happens to the schema when data evolves?
It remains unchanged
It evolves along with the data
It is archived
It is deleted
3.
MULTIPLE CHOICE QUESTION
30 sec β’ 1 pt
What is the role of a subject in schema evolution?
To define the scope of schema evolution
To analyze data
To delete obsolete data
To store data
4.
MULTIPLE CHOICE QUESTION
30 sec β’ 1 pt
What issue can arise if the producer is updated before the consumer?
Schema mismatch
Data loss
Increased latency
Data duplication
5.
MULTIPLE CHOICE QUESTION
30 sec β’ 1 pt
Which compatibility type allows you to delete fields and add optional fields?
Backward
Forward
Full
None
6.
MULTIPLE CHOICE QUESTION
30 sec β’ 1 pt
Which application needs to be upgraded first when using forward compatibility?
Consumer
Producer
Neither
Both simultaneously
7.
MULTIPLE CHOICE QUESTION
30 sec β’ 1 pt
What does the 'none' compatibility type imply?
Only backward changes are allowed
No changes are allowed
Only forward changes are allowed
All changes are accepted without compatibility checks
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