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Confluent CCAAK Exam Syllabus Topics:

Topic	Details
Topic 1	Troubleshooting: This section of the exam measures skills of a Kafka Administrator and includes diagnosing common issues in Kafka clusters. It covers problem areas such as performance bottlenecks, message delivery failures, replication issues, and consumer lag, along with techniques to resolve them effectively.
Topic 2	Apache Kafka® Cluster Configuration: This section of the exam measures skills of a Kafka Administrator and includes configuring broker properties, tuning for performance, managing topic-level settings, and applying best practices for production-grade environments.
Topic 3	Apache Kafka® Security: This section of the exam measures skills of a Site Reliability Engineer and focuses on securing Kafka environments. It includes authentication mechanisms such as TLS and SASL, authorization using ACLs, and encrypting data at rest and in transit to ensure secure communication and access control.
Topic 4	Kafka Connect: This section of the exam measures skills of a Site Reliability Engineer and addresses the use and management of Kafka Connect for data integration. It includes setting up connectors, managing configurations, and ensuring efficient movement of data between Kafka and external systems.
Topic 5	Observability: This section of the exam measures skills of a Site Reliability Engineer and focuses on monitoring Kafka clusters. It assesses knowledge of metrics, logging, and alerting tools, including how to use them to maintain cluster health and performance visibility.

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q34-Q39):

NEW QUESTION # 34
How can authentication for both internal component traffic and external client traffic be accomplished?

A. Configure multiple brokers.
B. Configure multiple security protocols on the same listener.
C. Configure multiple listeners on the broker.
D. Configure LoadBalancer.

Answer: C

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 # 35
Which connector type takes data from a topic and sends it to an external data system?

A. Source Connector
B. Sink Connector
C. SvsIog Connector
D. Streams Connector

Answer: B

Explanation:
A Sink Connector reads data from a Kafka topic and writes it to an external data system, such as a database, file system, or cloud service.

NEW QUESTION # 36
A developer is working for a company with internal best practices that dictate that there is no single point of failure for all data stored.
What is the best approach to make sure the developer is complying with this best practice when creating Kafka topics?

A. Make sure the topics are created with linger.ms=0 so data is written immediately and not held in batch.
B. Use the parameter --partitions=3 when creating the topic.
C. Set the topic replication factor to 3.
D. Set 'min.insync.replicas' to 1.

Answer: C

Explanation:
Replication factor determines how many copies of each partition exist across different brokers. A replication factor of 3 ensures that even if one or two brokers fail, the data is still available, thus eliminating a single point of failure.

NEW QUESTION # 37
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. 750 GB
B. 250 GB
C. 75 GB
D. 300 GB

Answer: D

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 # 38
Where are Apache Kafka Access Control Lists stored'?

A. ZooKeeper
B. Broker
C. Connect
D. Schema Registry

Answer: A

Explanation:
In Apache Kafka (open-source), Access Control Lists (ACLs) are stored in ZooKeeper. Kafka brokers retrieve and enforce ACLs from ZooKeeper at runtime.

NEW QUESTION # 39
......

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Valid Braindumps CCAAK Book | CCAAK Reliable Dumps

Confluent CCAAK Exam Syllabus Topics:

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Confluent Certified Administrator for Apache Kafka Sample Questions (Q34-Q39):

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