Pass Your Exam Easily! CCAAK Real Question Answers Updated on Mar 12, 2026
Actual Questions Answers Pass With Real CCAAK Exam Dumps
Confluent CCAAK Exam Syllabus Topics:
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NEW QUESTION # 12
What is the relationship between topics and partitions? (Choose two.)
- A. There is no relationship between topics and partitions.
- B. A partition is always linked to a single topic.
- C. A partition may have more than one topic.
- D. Atopic may have more than one partition.
- E. Atopic always has one partition.
Answer: B,D
Explanation:
Kafka topics are split into one or more partitions to enable parallelism and scalability.
Each partition belongs to exactly one topic; it cannot span multiple topics.
NEW QUESTION # 13
You are managing a cluster with a large number of topics, and each topic has a lot of partitions. A team wants to significantly increase the number of partitions for some topics.
Which parameters should you check before increasing the partitions?
- A. Check if compression is being used.
- B. Check if acks=all is beina used.
- C. Check the producer batch size and buffer size.
- D. Check the max open file count on brokers.
Answer: D
Explanation:
Each Kafka partition maps to multiple log segment files, and each segment results in open file descriptors on the broker. When the number of partitions increases significantly, it can exceed the OS-level limit for open files per broker process, leading to failures or degraded performance. Therefore, it is essential to check and possibly increase the ulimit -n (max open files) setting on the broker machines.
NEW QUESTION # 14
Your organization has a mission-critical Kafka cluster that must be highly available. A Disaster Recovery (DR) cluster has been set up using Replicator, and data is continuously being replicated from source cluster to the DR cluster. However, you notice that the message on offset 1002 on source cluster does not seem to match with offset 1002 on the destination DR cluster.
Which statement is correct?
- A. The message was updated on source cluster, but the update did not flow into destination DR cluster and errored.
- B. The message on DR cluster got over-written accidently by another application.
- C. The offsets for the messages on the source, destination cluster may not match.
- D. The DR cluster is lagging behind updates; once the DR cluster catches up, the messages will match.
Answer: C
Explanation:
When using Confluent Replicator (or MirrorMaker), offsets are not preserved between the source and destination Kafka clusters. Messages are replicated based on content, but they are assigned new offsets in the DR (destination) cluster. Therefore, offset 1002 on the source and offset 1002 on the DR cluster likely refer to different messages, which is expected behavior.
NEW QUESTION # 15
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. Use the parameter --partitions=3 when creating the topic.
- B. Set the topic replication factor to 3.
- C. Set 'min.insync.replicas' to 1.
- D. Make sure the topics are created with linger.ms=0 so data is written immediately and not held in batch.
Answer: B
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 # 16
What are important factors in sizing a ksqlDB cluster? (Choose three.)
- A. Data Schema
- B. Number of Queries
- C. Number of Partitions
- D. Topic Data Retention
- E. Data Encryption
Answer: A,B,C
Explanation:
The complexity of the schema (number of fields, data types, etc.) affects processing and memory usage.
Each ksqlDB persistent query consumes resources (CPU, memory), so more queries require more capacity.
More partitions increase parallelism, but also resource usage, especially in scaling and state management.
NEW QUESTION # 17
Which model does Kafka use for consumers?
- A. Push
- B. Publish
- C. Enrollment
- D. Pull
Answer: D
Explanation:
Kafka uses a pull model for consumers, where consumers poll the broker to retrieve messages at their own pace. This model gives consumers more control over flow and backpressure, improving scalability and reliability.
NEW QUESTION # 18
Which ksqlDB statement produces data that is persisted into a Kafka topic?
- A. SELECT (Push Query)
- B. SELECT (Pull Query)
- C. CREATE TABLE
- D. INSERT VALUES
Answer: D
Explanation:
INSERT VALUES is used to write data directly into a Kafka topic through a ksqlDB stream or table. This data is persisted.
NEW QUESTION # 19
When a broker goes down, what will the Controller do?
- A. Automatically elect the least loaded broker to become the leader for every orphan's partitions.
- B. Trigger a leader election among the remaining followers to distribute leadership.
- 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: B
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 # 20
What is the correct permission check sequence for Kafka ACLs?
What is the correct permission check sequence for Kafka ACLs?
- A. Allow ACL -> Deny ACL -> Super Users -> Deny
- B. Deny ACL -> Deny -> Allow ACL -> Super Users
- C. Super Users -> Deny ACL -> Allow ACL -> Deny
- D. Super Users -> Allow ACL -> Deny ACL-> Deny
Answer: D
Explanation:
Kafka checks permissions in the following sequence:
1. Super Users: If the user is a super user (defined via super.users), access is granted immediately.
2. Allow ACL: If there is a matching Allow ACL, Kafka proceeds to the next step.
3. Deny ACL: If there is a matching Deny ACL, access is denied (even if an Allow exists).
4. Deny: If no matching ACLs are found, access is denied by default.
This order ensures that super users bypass ACLs, denials override allows, and default is deny.
NEW QUESTION # 21
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-reassign-partitions.sh
- B. bin/kafka-consumer-group-throughput.sh
- C. bin/kafka-consumer-groups.sh
- D. bin/kafka-consumer-lag.sh
Answer: C
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 # 22
Which valid security protocols are included for broker listeners? (Choose three.)
- A. GSSAPI
- B. SASL
- C. SSL
- D. SASL_SSL
- E. PLAINTEXT
Answer: C,D,E
NEW QUESTION # 23
Which secure communication is supported between the REST proxy and REST clients?
- A. Kerberos
- B. SCRAM
- C. TLS (HTTPS)
- D. MD5
Answer: C
NEW QUESTION # 24
Which property in broker configuration specifies that a broker belongs to a particular rack?
Which property in broker configuration specifies that a broker belongs to a particular rack?
- A. zookeeper.rack
- B. client.rack
- C. kafka.rack
- D. broker.rack
Answer: D
Explanation:
The broker.rack property is used in a Kafka broker's configuration to specify the rack or availability zone the broker belongs to. This is important for rack-aware replica placement, allowing Kafka to distribute replicas across different racks for fault tolerance.
NEW QUESTION # 25
A company is setting up a log ingestion use case where they will consume logs from numerous systems. The company wants to tune Kafka for the utmost throughput.
In this scenario, what acknowledgment setting makes the most sense?
- A. acks=1
- B. acks=0
- C. acks=all
- D. acks=undefined
Answer: B
Explanation:
acks=0 provides the highest throughput because the producer does not wait for any acknowledgment from the broker. This minimizes latency and maximizes performance.
However, it comes at the cost of no durability guarantees - messages may be lost if the broker fails before writing them. This setting is suitable when throughput is critical and occasional data loss is acceptable, such as in some log ingestion use cases where logs are also stored elsewhere.
NEW QUESTION # 26
Your Kafka cluster has four brokers. The topic t1 on the cluster has two partitions, and it has a replication factor of three. You create a Consumer Group with four consumers, which subscribes to t1.
In the scenario above, how many Controllers are in the Kafka cluster?
- A. Four
- B. two
- C. three
- D. One
Answer: D
Explanation:
In a Kafka cluster, only one broker acts as the Controller at any given time. The Controller is responsible for managing cluster metadata, such as partition leadership and broker status. Even if the cluster has multiple brokers (in this case, four), only one is elected as the Controller, and others serve as regular brokers. If the current Controller fails, another broker is automatically elected to take its place.
NEW QUESTION # 27
You have an existing topic t1 that you want to delete because there are no more producers writing to it or consumers reading from it.
What is the recommended way to delete the topic?
- A. The consumer should send a message with a 'null' key.
- B. If topic deletion is enabled on the brokers, delete the topic using Kafka command line tools.
- C. Delete the offsets for that topic from the consumer offsets topic.
- D. Delete the log files and their corresponding index files from the leader broker.
Answer: B
Explanation:
The recommended and safe method to delete a topic is to use the Kafka CLI tool kafka-topics.sh --delete command, provided that delete.topic.enable=true is set on the brokers.
NEW QUESTION # 28
Which of the following are Kafka Connect internal topics? (Choose three.)
- A. connect-offsets
- B. connect-standalone
- C. connect-status
- D. connect-confiqs
- E. connect-distributed
Answer: A,C,D
Explanation:
connect-configs stores connector configurations.
connect-status tracks the status of connectors and tasks (e.g., RUNNING, FAILED).
connect-offsets stores source connector offsets for reading from external systems.
NEW QUESTION # 29
Which tool is used for scalably and reliably streaming data between Kafka and other data systems?
- A. Kafka REST Proxy
- B. Kafka Streams
- C. Kafka Schema Registry
- D. Kafka Connect
Answer: D
Explanation:
Kafka Connect is the tool designed for scalable and reliable integration between Kafka and external data systems (e.g., databases, cloud storage, key-value stores). It supports source connectors (to pull data into Kafka) and sink connectors (to push data from Kafka).
NEW QUESTION # 30
You are managing a Kafka cluster with five brokers (broker id '0', '1','2','3','4') and three ZooKeepers. There are 100 topics, five partitions for each topic, and replication factor three on the cluster. Broker id '0' is currently the Controller, and this broker suddenly fails.
Which statements are correct? (Choose three.)
- A. The broker id is used as the epoch number to prevent a split brain scenario.
- B. The Controller is responsible for reassigning partitions to the consumers in a Consumer Group.
- C. The Controller uses the epoch number to prevent a split brain scenario.
- D. The Controller is responsible for electing Leaders among the partitions and replicas.
- E. Kafka uses ZooKeeper's ephemeral node feature to elect a controller.
- F. The number of Controllers should always be equal to the number of brokers alive in the cluster.
Answer: C,D,E
Explanation:
Kafka relies on ZooKeeper's ephemeral nodes to detect if a broker (controller) goes down and to elect a new controller.
The controller manages partition leadership assignments and handles leader election when a broker fails.
The epoch number ensures coordination and avoids outdated controllers acting on stale data.
NEW QUESTION # 31
A broker in the Kafka cluster is currently acting as the Controller.
Which statement is correct?
- A. It is responsible for sending leader information to all producers.
- B. It is given precedence for replication to and from replica followers.
- C. It can have topic partitions.
- D. All consumers are allowed to fetch messages only from this server.
Answer: C
Explanation:
The Controller broker is a regular broker that also takes on additional responsibilities for managing cluster metadata, such as leader elections and partition assignments. It still hosts topic partitions and participates in replication like any other broker.
NEW QUESTION # 32
Which option is a valid Kafka Topic cleanup policy? (Choose two.)
- A. compact
- B. cleanup
- C. delete
- D. default
Answer: A,C
Explanation:
The delete policy deletes old log segments when they exceed the retention period or size.
The compact policy retains only the latest record for each key, enabling efficient key-based storage.
NEW QUESTION # 33
Which out-of-the-box Kafka Authorizer implementation uses ZooKeeper?
- A. RBAC
- B. ACLs
- C. LDAP
- D. Ranger
Answer: B
Explanation:
Kafka's built-in ACL (Access Control List) authorizer stores and manages permissions using ZooKeeper by default. This implementation controls access at the resource level (topics, consumer groups, etc.).
NEW QUESTION # 34
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