CDP Data Management & Integration 5

Question 1

A service updates its database and then publishes an event, but sometimes the event is lost if the service crashes in between. Which pattern solves this?

Accepted Answer

Transactional outbox

Answer

The outbox pattern writes the event to a table in the same transaction as the data change, then a relay publishes it reliably.

Question 2

Which approach coordinates a business transaction across multiple microservices without a distributed lock, using compensating actions on failure?

Accepted Answer

Saga pattern

Answer

Sagas break a transaction into local steps, each with a compensating action to undo it if a later step fails.

Question 3

What is a dead-letter queue (DLQ) used for in message-based integration?

Accepted Answer

Holding messages that repeatedly fail processing so they can be inspected without blocking the main queue

Answer

A DLQ isolates poison messages so the main flow continues while failures are analyzed and replayed.

Question 4

Which metric is most useful for detecting that a streaming consumer is falling behind producers?

Accepted Answer

Consumer lag

Answer

Consumer lag measures the gap between the latest produced offset and the consumer's committed offset.

Question 5

A team stores large reference datasets used by tests. Why should these be versioned alongside code or with a data versioning tool?

Accepted Answer

So test results are reproducible and tied to the exact data used

Answer

Versioning data with code ensures any build can be reproduced with the same inputs, aiding debugging and audits.

CDP - Certified DevOps Practitioner Practice Test

CDP - Certified DevOps Practitioner Practice Test

CDP Data Management & Integration 5