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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Security	5-10%	- Encryption in Transit - Authorization (ACLs) - Authentication (SASL, SSL/TLS) - Securing Schema Registry
Kafka Connect	10-15%	- Connect Architecture (Workers, Connectors, Tasks) - Single Message Transformations (SMT) - Converters and Transforms - Source and Sink Connectors - Offset Management in Connect - Connector Configuration
Schema Management	5-10%	- Schema Registry Architecture - Schema Evolution and Compatibility - Protobuf and JSON Schemas - Schema Registration and Retrieval - Avro Schemas
Kafka Streams	20-25%	- Testing Kafka Streams Applications - Exactly-Once Processing - State Stores and Processors - Interactive Queries - Transformation Operations (map, filter, join, aggregate) - Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session)
Developing with Kafka Consumers	15-20%	- Consumer Interceptors - Commit Strategies (Auto, Manual, Cooperative) - Deserialization - Consumer Groups and Rebalancing - Multi-threaded Consumers - Offset Management - Consumer Configuration and Tuning
Monitoring and Operations	5-10%	- Cross-region Replication - Consumer Lag and Health Checks - Disaster Recovery - Log Compaction - Kafka Metrics and Monitoring
Installing and Configuring Kafka	5-10%	- Partition Assignment Strategies - ZooKeeper vs KRaft Mode - Broker Configuration Parameters - Topic Creation and Configuration
Developing with Kafka Producers	15-20%	- Producer Interceptors - Idempotent Producers - Exactly-Once Semantics - Producer Configuration and Tuning - Error Handling and Retry Logic - Serialization (JSON, Avro, Protobuf) - Partitioning Strategies
Kafka Fundamentals	10-15%	- Topics, Partitions, and Offsets - Producer and Consumer Basics - Replication Factor and ISR - Log Segments and Retention - Brokers and Clusters

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CCDAK best Confluent certification exam questions and answers free download

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q66-Q71):

NEW QUESTION # 66
An application is consuming messages from Kafka. You observe partitions being frequently reassigned to the consumer group from the application logs.
Which factors may be contributing to this? (Choose 2.)

A. There is a storage issue on the broker.
B. There is a slow consumer processing application.
C. The number of partitions is not matching the number of application instances.
D. An instance of the application is crashing and getting restarted

Answer: B

NEW QUESTION # 67
An application is consuming messages from Kafka.
The application logs show that partitions are frequently being reassigned within the consumer group.
Which two factors may be contributing to this?
(Select two.)

A. An instance of the application is crashing and being restarted.
B. There is a storage issue on the broker.
C. There is a slow consumer processing application.
D. The number of partitions does not match the number of application instances.

Answer: A,C

Explanation:
Frequentrebalancesin a consumer group occur when:
* Consumers are too slowand miss heartbeats (A), or
* Instances crash or restart, triggering group membership changes (D)
FromKafka Consumer Group Coordination Docs:
"If a consumer fails to send a heartbeat in time (due to slowness or crash), it is removed from the group, causing a rebalance." Option B (partition mismatch) affectsload balancing, not rebalance frequency.
Option C (broker storage) doesn't trigger consumer rebalances.
Reference:Kafka Consumer Group Coordination and Heartbeats

NEW QUESTION # 68
Your manager would like to have topic availability over consistency. Which setting do you need to change in order to enable that?

A. compression.type
B. min.insync.replicas
C. unclean.leader.election.enable

Answer: C

Explanation:
unclean.leader.election.enable=true allows non ISR replicas to become leader, ensuring availability but losing consistency as data loss will occur

NEW QUESTION # 69
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=all can't produce?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
acks=all and min.insync.replicas=2 means we must have at least 2 brokers up for the partition to be available

NEW QUESTION # 70
Clients that connect to a Kafka cluster are required to specify one or more brokers in the bootstrap.
servers parameter.
What is the primary advantage of specifying more than one broker?

A. It is the mechanism to distribute a topic's partitions across multiple brokers.
B. It provides the ability to wake up dormant brokers.
C. It provides redundancy in making the initial connection to the Kafka cluster.
D. It forces clients to enumerate every single broker in the cluster.

Answer: C

Explanation:
The bootstrap.servers setting is used by clients (producers and consumers) toinitially connectto the Kafka cluster. It does not need to list all brokers-just a few that are up and reachable. The client will then use the cluster metadata to discover the full broker list.
FromKafka Java Client Configuration Docs:
"This is a list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping." Hence,listing multiple brokers provides redundancyand fault tolerance in the event one is down during client startup.
Reference:Apache Kafka Java Client Configuration > bootstrap.servers

NEW QUESTION # 71
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