Confluent CCAAK Questions Answers
Confluent Certified Administrator for Apache Kafka- 54 Questions & Answers
- Update Date : November 06, 2025
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Confluent CCAAK Sample Questions
Question # 1A 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. Set ˜min.insync.replicas to 1.
B. Use the parameter --partitions=3 when creating the topic.
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.
Question # 2
Where are Apache Kafka Access Control Lists stored'?
A. Broker
B. ZooKeeper
C. Schema Registry
D. Connect
Question # 3
What are important factors in sizing a ksqlDB cluster? (Choose three.)
A. Data Schema
B. Number of Queries
C. Number of Partitions
D. Data Encryption
E. Topic Data Retention
Question # 4
Why does Kafka use ZooKeeper? (Choose two.)
A. To access information about the leaders and partitions
B. To scale the number of brokers in the cluster
C. To prevent replication between clusters
D. For controller election
Question # 5
Kafka broker supports which Simple Authentication and Security Layer (SASL) mechanisms for authentication? (Choose three.)
A. SASL/PLAIN
B. SASL/SAML20
C. SASL/GSSAPI (Kerberos)
D. SASL/OAUTHBEARER
E. SASL/OTP
Question # 6
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. 75 GB
B. 250 GB
C. 300 GB
D. 750 GB
Question # 7
Which connector type takes data from a topic and sends it to an external data system?
A. Sink Connector
B. Source Connector
C. Streams Connector
D. SvsIog Connector
Question # 8
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. If the new Producer is configured to use compression.
B. Never, because topic t1 already has uncompressed messages.
C. Only if Kafka is also enabled for encryption.
D. Only if the new Producer disables batching.
Question # 9
If the Controller detects the failure of a broker that was the leader for some partitions, which actions will be taken? (Choose two.)
A. The Controller waits for a new leader to be nominated by ZooKeeper.
B. The Controller persists the new leader and ISR list to ZooKeeper.
C. The Controller sends the new leader and ISR list changes to all brokers.
D. The Controller sends the new leader and ISR list changes to all producers and consumers.
Question # 10
Which out-of-the-box Kafka Authorizer implementation uses ZooKeeper?
A. RBAC
B. ACLs
C. Ranger
D. LDAP
Question # 11
What does Kafka replication factor provide? (Choose two.)
A. Performance
B. Durability
C. Availability
D. Security
Question # 12
What is the primary purpose of Kafka quotas?
A. Throttle clients to prevent them from monopolizing Broker resources.
B. Guarantee faster response times for some clients.
C. Limit the number of clients that can connect to the Kafka cluster.
D. Limit the total number of Partitions in the Kafka cluster
Question # 13
Which tool is used for scalably and reliably streaming data between Kafka and other data systems?
A. Kafka Connect
B. Kafka Streams
C. Kafka Schema Registry
D. Kafka REST Proxy
Question # 14
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. client.rack
B. broker.rack
C. zookeeper.rack
D. kafka.rack
Question # 15
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 Nodes.
B. Increase the number of Connect Tasks (tasks max value).
C. Increase the number of partitions.
D. Increase the replication factor and increase the number of Connect Tasks.