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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q38-Q43):

NEW QUESTION # 38
Match the topic configuration setting with the reason the setting affects topic durability.
(You are given settings like unclean.leader.election.enable=false, replication.factor, min.insync.replicas=2)

Answer:

Explanation:

* unclean.leader.election.enable=false# Prevents data loss by only considering in-sync replicas when rebalancing.
* replication.factor# Specifies how many redundant copies of partitions are distributed across brokers.
* min.insync.replicas=2# Sets the standard for the number of partition instances that must keep up with the latest committed message.
* unclean.leader.election.enable=false ensures that onlyin-sync replicascan be elected as leaders. If disabled, an out-of-sync replica may become leader, potentially leading to data loss.
* replication.factor defineshow many brokerswill maintain copies of each partition, directly impacting durability and availability.
* min.insync.replicas determineshow many replicas must acknowledgea write when acks=all is used, enforcing write durability.
Reference:Apache Kafka Topic Configuration Documentation

NEW QUESTION # 39
You are sending messages with keys to a topic. To increase throughput, you decide to increase the number of partitions of the topic. Select all that apply.

A. Old records will stay in their partitions
B. New records with the same key will get written to the partition where old records with that key were written
C. All the existing records will get rebalanced among the partitions to balance load
D. New records may get written to a different partition

Answer: A,D

Explanation:
Increasing the number of partition causes new messages keys to get hashed differently, and breaks the guarantee "same keys goes to the same partition". Kafka logs are immutable and the previous messages are not re-shuffled

NEW QUESTION # 40
Which of the following is a push query?

A. CREATE TABLE LEFT_TABLE (ID BIGINT PRIMARY KEY, NAME varchar, VALUE bigint) WITH (kafka_topic='left_topic', value_format='JSON', partitions=4);
B. SELECT *
FROM NUMBER_OF_TESTS
WHERE ID='10';
C. SELECT windowstart, windowend, item_id, SUM(quantity)
FROM orders
WINDOW TUMBLING (SIZE 20 SECONDS)
GROUP BY item_id
EMIT CHANGES;
D. CREATE STREAM STUDENTS (ID STRING KEY, SCORE INT)
WITH (kafka_topic='students_topic', value_format='JSON', partitions=4);

Answer: C

NEW QUESTION # 41
(An S3 source connector named s3-connector stopped running.
You use the Kafka Connect REST API to query the connector and task status.
One of the three tasks has failed.
You need to restart the connector and all currently running tasks.
Which REST request will restart the connector instance and all its tasks?)

A. POST /connectors/s3-connector/tasks/0/restart
B. POST /connectors/s3-connector/restart?includeTasks=true
C. POST /connectors/s3-connector/restart?includeTasks=true&onlyFailed=true
D. POST /connectors/s3-connector/restart

Answer: B

Explanation:
According to the official Apache Kafka Connect REST API documentation, restarting a connector can be done at different granularities: connector-level, task-level, or both. By default, calling POST /connectors/
{name}/restart only restarts the connector instance, not its tasks.
To restart the connector and all of its tasks, the request must explicitly include the query parameter includeTasks=true. This instructs Kafka Connect to restart the connector and all associated tasks, regardless of whether they are currently running or failed.
Option B (onlyFailed=true) limits the restart to only failed tasks, which does not meet the requirement to restart all tasks. Option C restarts only the connector instance, leaving tasks untouched. Option D restarts a single specific task and does not restart the connector itself.
Therefore, the correct and officially documented REST request to restart the connector instance and all tasks is:
POST /connectors/s3-connector/restart?includeTasks=true
This ensures a full restart of the connector and its execution context across the Kafka Connect cluster.

NEW QUESTION # 42
Two consumers share the same group.id (consumer group id). Each consumer will

A. Read mutually exclusive offsets blocks on all the partitions
B. Read all the data on mutual exclusive partitions
C. Read all data from all partitions

Answer: B

Explanation:
Each consumer is assigned a different partition of the topic to consume.

NEW QUESTION # 43
......

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