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Exam Topics CCAAK Pdf & CCAAK Study Guide

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Exam Topics CCAAK Pdf & CCAAK Study Guide

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q29-Q34):NEW QUESTION # 29
A Kafka cluster with three brokers has a topic with 10 partitions and a replication factor set to three. Each partition stores 25 GB data per day and data retention is set to 24 hours.
How much storage will be consumed by the topic on each broker?
  • A. 300 GB
  • B. 75 GB
  • C. 250 GB
  • D. 750 GB
Answer: A
Explanation:
10 partitions × 25 GB/day = 250 GB total per day for the topic (primary data).
With a replication factor of 3, there are 3 full copies of the data: 250 GB × 3 = 750 GB total across the entire cluster.
The cluster has 3 brokers, and Kafka tries to distribute replicas evenly among them: 750 GB ÷ 3 brokers = 250 GB per broker on average.
However, due to replication, some partitions have leaders and followers, so there's some overlap and not-perfect distribution. Each broker stores approximately 2/3 of the total topic data (since each broker holds replicas for around 2/3 of the partitions).
2/3 × 750 GB = 500 GB, but this is shared, so each broker ends up storing ~300 GB of replicated data, including its share of leaders and followers.

NEW QUESTION # 30
An employee in the reporting department needs assistance because their data feed is slowing down. You start by quickly checking the consumer lag for the clients on the data stream.
Which command will allow you to quickly check for lag on the consumers?
  • A. bin/kafka-consumer-group-throughput.sh
  • B. bin/kafka-consumer-groups.sh
  • C. bin/kafka-reassign-partitions.sh
  • D. bin/kafka-consumer-lag.sh
Answer: B
Explanation:
The kafka-consumer-groups.sh script is used to inspect consumer group details, including consumer lag, which indicates how far behind a consumer is from the latest data in the partition.
The typical usage is bin/kafka-consumer-groups.sh --bootstrap-server <broker> --describe --group <group_id>

NEW QUESTION # 31
When a broker goes down, what will the Controller do?
  • A. Trigger a leader election among the remaining followers to distribute leadership.
  • B. Automatically elect the least loaded broker to become the leader for every orphan's partitions.
  • C. Become the leader for the topic/partition that needs a leader, pending the broker return in the cluster.
  • D. Wait for a follower to take the lead.
Answer: A
Explanation:
When a broker goes down, the Controller detects the failure and triggers a leader election for all partitions that had their leader on the failed broker. The leader is chosen from the in-sync replicas (ISRs) of each partition.

NEW QUESTION # 32
Which statements are correct about partitions? (Choose two.)
  • A. A partition size is determined after the largest segment on a disk.
  • B. A partition in Kafka will be represented by a single segment on a disk.
  • C. A partition is comprised of one or more segments on a disk.
  • D. All partition segments reside in a single directory on a broker disk.
Answer: C,D

NEW QUESTION # 33
How can authentication for both internal component traffic and external client traffic be accomplished?
  • A. Configure multiple listeners on the broker.
  • B. Configure multiple security protocols on the same listener.
  • C. Configure multiple brokers.
  • D. Configure LoadBalancer.
Answer: A
Explanation:
Kafka supports multiple listeners, each with its own port, hostname, and security protocol. This allows you to:
*  Use one listener for internal communication (e.g., brokers, ZooKeeper, Connect, etc.) with one type of authentication (e.g., PLAINTEXT or SASL).
* Use a separate listener for external clients (e.g., producers and consumers) with a different protocol (e.g., SSL or SASL_SSL).

NEW QUESTION # 34
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