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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Apache Kafka Streams	12%	- Windowing and time semantics - Error handling and state management - Streams API concepts: topology, processors, state stores - Stream processing operations: map, filter, join, aggregation
Topic 2: Apache Kafka Application Development	28%	- Schema management: Confluent Schema Registry, compatibility rules, evolution - Producer API: configuration, serialization, partitioning, error handling - Transactional messaging and idempotence - Consumer API: configuration, offset management, consumer groups, rebalancing
Topic 3: Application Observability	13%	- Tracing and performance tuning - Error diagnosis and troubleshooting - Logging and monitoring metrics
Topic 4: Application Testing	8%	- Integration testing and test clusters - Unit testing producers and consumers - Mocking and test utilities
Topic 5: Kafka Connect	15%	- Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters - Data transformation and integration patterns
Topic 6: Apache Kafka Fundamentals	23%	- Core concepts: brokers, topics, partitions, replicas, offsets - Configuration basics and cluster setup - Kafka architecture and data flow - Delivery semantics: at-most-once, at-least-once, exactly-once

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q85-Q90):

NEW QUESTION # 85
Which feature determines the maximum parallelism at which a Kafka Streams application can run?

A. Configured Kafka Streams application instances
B. Brokers in the Kafka cluster
C. Input topics
D. Partitions of the input topic(s)

Answer: D

NEW QUESTION # 86
To enhance compression, I can increase the chances of batching by using

A. batch.size=65536
B. acks=all
C. linger.ms=20
D. max.message.size=10MB

Answer: C

Explanation:
linger.ms forces the producer to wait before sending messages, hence increasing the chance of creating batches that can be heavily compressed.

NEW QUESTION # 87
There are 3 producers writing to a topic with 5 partitions. There are 5 consumers consuming from the topic.
How many Controllers will be present in the cluster?

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

Answer: A

Explanation:
There is only one controller in a cluster at all times.

NEW QUESTION # 88
(An S3 source connector named s3-connector stopped running.
You use the Kafka Connect REST API to query the connector and task status.
One of the three tasks has failed.
You need to restart the connector and all currently running tasks.
Which REST request will restart the connector instance and all its tasks?)

A. POST /connectors/s3-connector/restart
B. POST /connectors/s3-connector/restart?includeTasks=true
C. POST /connectors/s3-connector/restart?includeTasks=true&onlyFailed=true
D. POST /connectors/s3-connector/tasks/0/restart

Answer: B

Explanation:
According to the official Apache Kafka Connect REST API documentation, restarting a connector can be done at different granularities: connector-level, task-level, or both. By default, calling POST /connectors/
{name}/restart only restarts the connector instance, not its tasks.
To restart the connector and all of its tasks, the request must explicitly include the query parameter includeTasks=true. This instructs Kafka Connect to restart the connector and all associated tasks, regardless of whether they are currently running or failed.
Option B (onlyFailed=true) limits the restart to only failed tasks, which does not meet the requirement to restart all tasks. Option C restarts only the connector instance, leaving tasks untouched. Option D restarts a single specific task and does not restart the connector itself.
Therefore, the correct and officially documented REST request to restart the connector instance and all tasks is:
POST /connectors/s3-connector/restart?includeTasks=true
This ensures a full restart of the connector and its execution context across the Kafka Connect cluster.

NEW QUESTION # 89
You want to connect with username and password to a secured Kafka cluster that has SSL encryption.
Which properties must your client include?

A. security.protocol=SASL_PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';
B. security.protocol=SASL_SSLsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';
C. security.protocol=SSLsasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username='myUser' password='myPassword';
D. security.protocol=PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.ssl.
TlsLoginModule required username='myUser' password='myPassword';

Answer: B

Explanation:
For SASL/PLAIN authentication over SSL, the correct combination is:
security.protocol=SASL_SSL
sasl.jaas.config=...PlainLoginModule required username=... password=...
From Kafka Security Documentation:
"For SASL/PLAIN over SSL, configure security.protocol=SASL_SSL and provide login module configuration using sasl.jaas.config." Options B and D are incorrect because they do not pair the correct protocol with the authentication method.
Reference: Apache Kafka Security Configs > SASL_SSL, PLAIN mechanism

NEW QUESTION # 90
......

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