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Confluent CCAAK Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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.

Topic 3

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 4

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 5

Apache Kafka® Fundamentals: This section of the exam measures skills of a Kafka Administrator and covers core concepts such as Kafka architecture, components, and data flow. It assesses the candidate’s understanding of topics like topics and partitions, brokers, producers, consumers, and message retention.

Topic 6

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.

Confluent Certified Administrator for Apache Kafka Sample Questions (Q35-Q40):

NEW QUESTION # 35
You have a cluster with a topic t1 that already has uncompressed messages. A new Producer starts sending messages to t1 with compression enabled.
Which condition would allow this?

A. Never, because topic t1 already has uncompressed messages.
B. Only if Kafka is also enabled for encryption.
C. If the new Producer is configured to use compression.
D. Only if the new Producer disables batching.

Answer: C

Explanation:
Kafka allows mixed compression formats within the same topic and even the same partition. Each message batch includes metadata indicating whether and how it is compressed. Therefore, a new producer can send compressed messages to a topic that already contains uncompressed messages, as long as it is configured with a compression codec (e.g., compression.type=gzip, snappy, etc.).

NEW QUESTION # 36
A customer has a use case for a ksqlDB persistent query. You need to make sure that duplicate messages are not processed and messages are not skipped.
Which property should you use?

A. processing.guarantee=exactly_once
B. ksql.streams auto.offset.reset=latest
C. ksql.streams auto offset.reset=earliest
D. ksql.fail.on.production.error=false

Answer: A

Explanation:
processing.guarantee=exactly_once ensures that messages are processed exactly once by ksqlDB, preventing both duplicates and message loss.

NEW QUESTION # 37
Kafka Connect is running on a two node cluster in distributed mode. The connector is a source connector that pulls data from Postgres tables (users/payment/orders), writes to topics with two partitions, and with replication factor two. The development team notices that the data is lagging behind.
What should be done to reduce the data lag*?
The Connector definition is listed below:
{
"name": "confluent-postgresql-source",
"connector class": "PostgresSource",
"topic.prefix": "postgresql_",
& nbsp;& nbsp;& nbsp;...
"db.name": "postgres",
"table.whitelist": "users.payment.orders",
"timestamp.column.name": "created_at",
"output.data format": "JSON",
"db.timezone": "UTC",
"tasks.max": "1"
}

A. Increase the number of partitions.
B. Increase the number of Connect Nodes.
C. Increase the replication factor and increase the number of Connect Tasks.
D. Increase the number of Connect Tasks (tasks max value).

Answer: D

Explanation:
The connector is currently configured with "tasks.max": "1", which means only one task is handling all tables (users, payment, orders). This can create a bottleneck and lead to lag. Increasing tasks.max allows Kafka Connect to parallelize work across multiple tasks, which can pull data from different tables concurrently and reduce lag.

NEW QUESTION # 38
Per customer business requirements, a system's high availability is more important than message reliability.
Which of the following should be set?

A. Unclean leader election should be enabled.
B. Message retention.ms should be set to -1.
C. The linger.ms should be set to '0'.
D. The number of brokers in the cluster should be always odd (3, 5. 7 and so on).

Answer: A

Explanation:
Enabling unclean leader election allows Kafka to elect a non-in-sync replica as leader if all in-sync replicas are unavailable. This sacrifices message reliability (possible data loss) in favor of high availability, aligning with the requirement.

NEW QUESTION # 39
What are benefits to gracefully shutting down brokers? (Choose two.)

A. It will migrate any partitions the server is the leader for to other replicas prior to shutting down.
B. It will automatically re-elect leaders on restart.
C. It will sync all its logs to disk to avoid needing to do any log recovery when it restarts.
D. It will balance the partitions across brokers before restarting.

Answer: A,C

Explanation:
A graceful shutdown ensures that logs are flushed to disk, minimizing recovery time during restart.
Kafka performs controlled leader migration during a graceful shutdown to avoid disruption and ensure availability.

NEW QUESTION # 40
......

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