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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is an industry-recognized certification that enables professionals to demonstrate their understanding of Apache Kafka and its ecosystem. CCDAK examination is developed and administered by Confluent, a leading provider of Apache Kafka-based solutions. The CCDAK Certification is designed for developers who work with Apache Kafka and want to validate their skills and knowledge of the platform.
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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q28-Q33):NEW QUESTION # 28
A consumer application runs once a week and reads from a Kafka topic. The last time the application ran, the last offset processed was 217. The application is configured with auto.offset.reset set to "latest". The current offsets in the topic start at 318 and end at 588.
What offset will the application start reading when it starts up for its next run?
Answer: D
NEW QUESTION # 29
Which two statements are correct about transactions in Kafka?
(Select two.)
- A. Information about producers and their transactions is stored in the _transaction_state topic.
- B. All messages from a failed transaction will be deleted from a Kafka topic.
- C. Transactions are only possible when writing messages to a topic with single partition.
- D. Consumers can consume both committed and uncommitted transactions.
- E. Transactions guarantee at least once delivery of messages.
Answer: A,D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
# C. Consumers can consume both committed and uncommitted transactions.By default, Kafka consumers only read committed messages if they are configured with isolation.level=read_committed. However, if configured as read_uncommitted, they can also consume uncommitted (potentially aborted) transactional messages.
From Kafka Documentation:
"The isolation.level setting controls whether the consumer will read only committed messages or all messages, including uncommitted messages from ongoing or aborted transactions."
# D. Information about producers and their transactions is stored in the _transaction_state topic.Kafka uses an internal topic named __transaction_state to maintain metadata about producer transactions. This topic is essential for tracking the transaction lifecycle, fencing, and recovery.
From Kafka Internals:
"Kafka stores the state of active and completed transactions in an internal topic called __transaction_state."
NEW QUESTION # 30
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_SSLsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword'; - B. security.protocol=PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.ssl.
TlsLoginModule 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=SASL_PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';
Answer: A
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 # 31
You need to configure a sink connector to write records that fail into a dead letter queue topic.
Requirements:
* Topic name: DLQ-Topic
* Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)
- A. errors.tolerance=none
- B. errors.tolerance=all
- C. errors.log.include.messages=true
- D. errors.deadletterqueue.topic.name=DLQ-Topic
- E. errors.log.enable=true
- F. errors.deadletterqueue.context.headers.enable=true
Answer: B,D,F
Explanation:
To send failed records to adead letter queue (DLQ), you must configure:
* errors.tolerance=all: Tells the connector tonot failon errors but handle them (e.g., send to DLQ).
* errors.deadletterqueue.topic.name=DLQ-Topic: Specifies the DLQ topic.
* errors.deadletterqueue.context.headers.enable=true: Includes error context in message headers.
FromKafka Connect Error Handling Docs:
"Kafka Connect supports directing problematic records to a separate topic (DLQ) using errors.* configs.
Headers can include failure metadata."
Options D, E, F are related tologging, not DLQ behavior.
Reference:Kafka Connect Configurations > Error Handling
NEW QUESTION # 32
You are using JDBC source connector to copy data from 2 tables to two Kafka topics. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?
Answer: B
Explanation:
we have two tables, so the max number of tasks is 2
NEW QUESTION # 33
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