Released Confluent CCAAK Updated Questions PDF

CCAAK Dumps and Practice Test (56 Exam Questions)

NEW QUESTION # 16
A company has an existing Kafka cluster running without SSL/TLS enabled. The customer wants to enable SSL on brokers to secure data in transit, but they would like to give applications connecting to this cluster some time to migrate to using SSL connection instead of putting a hard stop.
Which solution will meet the customer's requirements?

• A. Create a new listener with SSL enabled.
• B. Modify the advertised listeners setting on brokers to use SSL.
• C. Enable SSL on the current Listener, and do not enable mTLS.
• D. Enable SSL on the current listener, and do not implement SSL on application side.

Answer: A

Explanation:
Kafka supports multiple listeners, allowing you to run PLAINTEXT and SSL simultaneously. By creating a new SSL-enabled listener (e.g., on a different port), existing applications can continue using PLAINTEXT while gradually migrating to the SSL listener. This approach avoids downtime and gives clients time to adapt without enforcing a hard cutover.

NEW QUESTION # 17
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. Delete the offsets for that topic from the consumer offsets topic.
• B. Delete the log files and their corresponding index files from the leader broker.
• C. If topic deletion is enabled on the brokers, delete the topic using Kafka command line tools.
• D. The consumer should send a message with a 'null' key.

Answer: C

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 # 18
Which statements are correct about partitions? (Choose two.)

• A. A partition size is determined after the largest segment on a disk.
• B. All partition segments reside in a single directory on a broker disk.
• C. A partition in Kafka will be represented by a single segment on a disk.
• D. A partition is comprised of one or more segments on a disk.

Answer: B,D

NEW QUESTION # 19
Multiple clients are sharing a Kafka cluster.
As an administrator, how would you ensure that Kafka resources are distributed fairly to all clients?

• A. ACLs
• B. Rebalancing
• C. Quotas
• D. Consumer Groups

Answer: C

Explanation:
Kafka quotas allow administrators to control and limit the rate of data production and consumption per client (producer/consumer), ensuring fair use of broker resources among multiple clients.

NEW QUESTION # 20
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 'min.insync.replicas' to 1.
• C. Make sure the topics are created with linger.ms=0 so data is written immediately and not held in batch.
• D. Set the topic replication factor to 3.

Answer: D

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 # 21
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. three
• B. two
• C. One
• D. Four

Answer: C

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 # 22
What is the atomic unit of data in Kafka?

• A. Offset
• B. Topic
• C. Partition
• D. Message

Answer: D

Explanation:
The message (also called a record) is the atomic unit of data in Kafka. It consists of a key, value, and optional headers and metadata. Messages are written to partitions and read by consumers.

NEW QUESTION # 23
You have a Kafka cluster with topics t1 and t2. In the output below, topic t2 shows Partition 1 with a leader "-1".
What is the most likely reason for this?
...
$ kafka-topics --zookeeper localhost:2181 --describe --topic t1
Topic:t1 PartitionCount 1 ReplicationFactor 1 Configs:
Topic: t1 Partition: 0 Leader: 0 Replicas: 0 Isr: 0
$ kafka-topics --zookeeper localhost:2181 --describe --topic t2
Topic:t2 PartitionCount 2 ReplicationFactor 1 Configs:
Topic: t2 Partition: 0 Leader: 0 Replicas: 0 Isr: 0
Topic: t2 Partition: 1 Leader: -1 Replicas: 1 Isr:

• A. Compression has been enabled on Broker 1.
• B. Broker 1 failed.
• C. Leader shows "-1" while the log cleaner thread runs on Broker 1.
• D. Broker 1 has another partition clashing with the same name.

Answer: B

Explanation:
A Leader of -1 indicates that no broker is currently the leader for that partition. This usually happens when the only replica for that partition is unavailable, often due to the associated broker (in this case, Broker 1) failing or being offline. Kafka cannot elect a leader if no replica is in the in-sync replica (ISR) list, which leads to leader = -1.

NEW QUESTION # 24
Which secure communication is supported between the REST proxy and REST clients?

• A. TLS (HTTPS)
• B. SCRAM
• C. Kerberos
• D. MD5

Answer: A

NEW QUESTION # 25
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 the max open file count on brokers.
• C. Check if acks=all is beina used.
• D. Check the producer batch size and buffer size.

Answer: B

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 # 26
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=0
• B. acks=all
• C. acks=1
• D. acks=undefined

Answer: A

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 # 27
Which use cases would benefit most from continuous event stream processing? (Choose three.)

• A. Historical dashboards
• B. End-of-day financial settlement processing
• C. Context-aware product recommendations for e-commerce
• D. Log monitoring/application fault detection
• E. Fraud detection

Answer: C,D,E

Explanation:
Real-time analysis of transactions helps detect suspicious activity instantly.
Context-aware product recommendations for e-commerce requires real-time user behavior tracking to serve personalized recommendations.
Log monitoring/application fault detection needs immediate processing to alert on system issues or failures.

NEW QUESTION # 28
A Kafka administrator notices that their consumers of Topic X are starting to fall behind. The administrator sees that Topic X has four partitions, and the consumer group has two consumers.
Which change can increase the performance of the Consumer Group?

• A. Increase the partitions in Topic X.
• B. Increase the number of consumers in the consumer group.
• C. Create a new consumer group for Topic X containing two (2) consumers.
• D. Decrease the consumer acknowledgment property to increase throughput.

Answer: B

Explanation:
With 4 partitions and only 2 consumers, some consumers are handling multiple partitions, which may cause lag if processing is slow. By increasing the number of consumers in the group (up to 4), Kafka can assign one partition per consumer, improving parallelism and throughput.

NEW QUESTION # 29
What are important factors in sizing a ksqlDB cluster? (Choose three.)

• A. Number of Queries
• B. Data Schema
• C. Data Encryption
• D. Number of Partitions
• E. Topic Data Retention

Answer: A,B,D

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 # 30
When using Kafka ACLs, when is the resource authorization checked?

• A. Each time the resource is accessed.
• B. Each time the resource is accessed within the configured authorization interval.
• C. When the client connection is first established.
• D. The initial time the resource is accessed.

Answer: A

Explanation:
Kafka ACLs (Access Control Lists) perform authorization checks every time a client attempts to access a resource (e.g., topic, consumer group). This ensures continuous enforcement of permissions, not just at connection time or intervals. This approach provides fine-grained security, preventing unauthorized actions at any time during a session.

NEW QUESTION # 31
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