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| Section | Objectives |
|---|---|
| Kafka Streams and Processing | - Event processing patterns
|
| Kafka Ecosystem and Confluent Platform | - ksqlDB and connectors
|
| Kafka Fundamentals | - Data flow in Kafka
|
| Kafka Producers and Consumers | - Consumer API
|
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NEW QUESTION # 45
(A consumer application runs once every two weeks and reads from a Kafka topic.
The last time the application ran, the last offset processed was 217.
The application is configured with auto.offset.reset=latest.
The current offsets in the topic start at 318 and end at 588.
Which offset will the application start reading from when it starts up for its next run?)
Answer: B
Explanation:
According to the official Apache Kafka consumer documentation, the auto.offset.reset configuration is only applied when a consumer has no valid committed offset for a partition. In this scenario, the consumer last committed offset 217, but the topic's earliest available offset is now 318. This means the previously committed offset is out of range, most likely due to topic retention cleanup.
When a committed offset is out of range, Kafka treats it as invalid and applies the auto.offset.reset policy.
Since the consumer is configured with auto.offset.reset=latest, it will start reading from the end of the log, not from the earliest available offset.
Kafka defines the "latest" offset as the log end offset, which is the offset of the next message to be written.
Given that the topic's offsets end at 588, the next offset is 589.
Therefore, the consumer will start reading from offset 589, skipping all existing records in the topic, which aligns with the documented Kafka consumer behavior.
NEW QUESTION # 46
You need to configure a sink connector to write records that fail into a dead letter queue topic. Requirements:
Topic name: DLQ-Topic
Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)
Answer: D,E,F
Explanation:
To send failed records to a dead letter queue (DLQ), you must configure:
errors.tolerance=all: Tells the connector to not fail on errors but handle them (e.g., send to DLQ).
errors.deadletterqueue.topic.name=DLQ-Topic: Specifies the DLQ topic.
errors.deadletterqueue.context.headers.enable=true: Includes error context in message headers.
From Kafka Connect Error Handling Docs:
"Kafka Connect supports directing problematic records to a separate topic (DLQ) using errors.* configs.
Headers can include failure metadata."
Options D, E, F are related to logging, not DLQ behavior.
Reference: Kafka Connect Configurations > Error Handling
NEW QUESTION # 47
What information isn't stored inside of Zookeeper? (select two)
Answer: B
Explanation:
Consumer offsets are stored in a Kafka topic __consumer_offsets, and the Schema Registry stored schemas in the _schemas topic.
NEW QUESTION # 48
You need to correctly join data from two Kafka topics.
Which two scenarios will allow for co-partitioning?
(Select two.)
Answer: C,D
Explanation:
For Kafka Streams to performjoins, topics must beco-partitioned, meaning:
* They have thesame number of partitions(A), and
* They use thesame partitioning strategy(typically by key) (B)
FromKafka Streams Documentation > Joins:
"Co-partitioning is required for Kafka Streams joins. Topics must have the same number of partitions and use the same key-based partitioner." Value schema (C) and retention time (D) have no bearing on join compatibility.
Reference:Kafka Streams Concepts > Joins and Co-Partitioning
NEW QUESTION # 49
In Kafka, every broker... (select three)
Answer: A,C,E
Explanation:
Kafka topics are divided into partitions and spread across brokers. Each brokers knows about all the metadata and each broker is a bootstrap broker, but only one of them is elected controller
NEW QUESTION # 50
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