Authentic Confluent CCAAK Exam Dumps PDF - Aug-2025 Updated
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NEW QUESTION # 24
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 the producer batch size and buffer size.
- D. Check if acks=all is beina used.
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 # 25
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. Create a new consumer group for Topic X containing two (2) consumers.
- B. Increase the number of consumers in the consumer group.
- C. Increase the partitions in Topic X.
- 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 # 26
Where are Apache Kafka Access Control Lists stored'?
- A. ZooKeeper
- B. Schema Registry
- C. Connect
- D. Broker
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 # 27
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=1
- C. acks=undefined
- D. acks=all
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 # 28
By default, what do Kafka broker network connections have?
- A. Encryption and authentication, but no authorization
- B. Encryption, but no authentication or authorization
- C. No encryption, no authentication and no authorization
- D. No encryption, no authorization, but have authentication
Answer: C
Explanation:
By default, Kafka brokers use the PLAINTEXT protocol for network communication. This means:
* No encryption - data is sent in plain text.
* No authentication - any client can connect without verifying identity.
* No authorization - there are no access control checks by default.
Security features like TLS, SASL, and ACLs must be explicitly configured.
NEW QUESTION # 29
A broker in the Kafka cluster is currently acting as the Controller.
Which statement is correct?
- A. All consumers are allowed to fetch messages only from this server.
- B. It is given precedence for replication to and from replica followers.
- C. It can have topic partitions.
- D. It is responsible for sending leader information to all producers.
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 # 30
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 has another partition clashing with the same name.
- C. Broker 1 failed.
- D. Leader shows "-1" while the log cleaner thread runs on Broker 1.
Answer: C
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 # 31
Why does Kafka use ZooKeeper? (Choose two.)
- A. To prevent replication between clusters
- B. To scale the number of brokers in the cluster
- C. For controller election
- D. To access information about the leaders and partitions
Answer: C,D
Explanation:
ZooKeeper stores metadata such as partition leadership and ISR (in-sync replicas), which brokers use to coordinate.
Kafka uses ZooKeeper to perform leader election for the Controller broker, which manages cluster metadata and leadership changes.
NEW QUESTION # 32
How does Kafka guarantee message integrity after a message is written on a disk?
- A. Only message metadata can be altered using command line (CLI) tools.
- B. A message cannot be altered once it has been written.
C A message can be grouped with message sharing the same key to improve read performance - C. A message can be edited by the producer, producing to the message offset.
Answer: B
Explanation:
Kafka ensures message immutability for data integrity. Once a message is written to a Kafka topic and persisted to disk, it cannot be modified. This immutability guarantees that consumers always receive the original message content, which is critical for auditability, fault tolerance, and data reliability.
NEW QUESTION # 33
Which out-of-the-box Kafka Authorizer implementation uses ZooKeeper?
- A. ACLs
- B. LDAP
- C. RBAC
- D. Ranger
Answer: A
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
Which secure communication is supported between the REST proxy and REST clients?
- A. TLS (HTTPS)
- B. Kerberos
- C. SCRAM
- D. MD5
Answer: A
NEW QUESTION # 35
Per customer business requirements, a system's high availability is more important than message reliability.
Which of the following should be set?
- A. The number of brokers in the cluster should be always odd (3, 5. 7 and so on).
- B. Unclean leader election should be enabled.
- C. The linger.ms should be set to '0'.
- D. Message retention.ms should be set to -1.
Answer: B
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 # 36
How can authentication for both internal component traffic and external client traffic be accomplished?
- A. Configure multiple security protocols on the same listener.
- B. Configure multiple brokers.
- 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 # 37
What is the relationship between topics and partitions? (Choose two.)
- A. Atopic may have more than one partition.
- B. A partition may have more than one topic.
- C. Atopic always has one partition.
- D. A partition is always linked to a single topic.
- E. There is no relationship between topics and partitions.
Answer: A,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 # 38
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-lag.sh
- C. bin/kafka-reassign-partitions.sh
- D. bin/kafka-consumer-groups.sh
Answer: D
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 # 39
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. If the new Producer is configured to use compression.
- C. Only if the new Producer disables batching.
- D. Only if Kafka is also enabled for encryption.
Answer: B
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 # 40
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 Connect Tasks (tasks max value).
- B. Increase the number of partitions.
- C. Increase the number of Connect Nodes.
- D. Increase the replication factor and increase the number of Connect Tasks.
Answer: A
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 # 41
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 # 42
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