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Confluent CCDAK (Confluent Certified Developer for Apache Kafka) Certification Examination is a comprehensive test designed to evaluate the proficiency of developers in building and maintaining Apache Kafka-based applications. CCDAK exam is targeted towards software developers, data architects, and data engineers who are looking for a way to validate their knowledge and skills in building real-time, scalable, and fault-tolerant distributed systems using Apache Kafka. Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q46-Q51):NEW QUESTION # 46
Suppose you have 6 brokers and you decide to create a topic with 10 partitions and a replication factor of 3.
The brokers 0 and 1 are on rack A, the brokers 2 and 3 are on rack B, and the brokers 4 and 5 are on rack C.
If the leader for partition 0 is on broker 4, and the first replica is on broker 2, which broker can host the last replica? (select two)
A. 0
B. 1
C. 2
D. 3
E. 4
F. 5
Answer: B,E
Explanation:
When you create a new topic, partitions replicas are spreads across racks to maintain availability. Hence, the Rack A, which currently does not hold the topic partition, will be selected for the last replica
NEW QUESTION # 47
You are sending messages with keys to a topic. To increase throughput, you decide to increase the number of partitions of the topic. Select all that apply.
A. All the existing records will get rebalanced among the partitions to balance load
B. New records with the same key will get written to the partition where old records with that key were written
C. Old records will stay in their partitions
D. New records may get written to a different partition
Answer: C,D
Explanation:
Increasing the number of partition causes new messages keys to get hashed differently, and breaks the guarantee "same keys goes to the same partition". Kafka logs are immutable and the previous messages are not re-shuffled
NEW QUESTION # 48
In the Kafka consumer metrics it is observed that fetch-rate is very high and each fetch is small. What steps will you take to increase throughput?
A. Decrease fetch.min.bytes
B. Decrease fetch.max.bytes
C. Increase fetch.max.bytes
D. Increase fetch.max.wait
E. Increase fetch.min.bytes
Answer: E
Explanation:
This will allow consumers to wait and receive more bytes in each fetch request.
NEW QUESTION # 49
To transform data from a Kafka topic to another one, I should use
A. Kafka Connect Source
B. Kafka Connect Sink
C. Consumer + Producer
D. Kafka Streams
Answer: D
Explanation:
Kafka Streams is a library for building streaming applications, specifically applications that transform input Kafka topics into output Kafka topics
NEW QUESTION # 50
You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?
A. Update the consumer configuration by setting auto.offset.reset=earliest.
B. Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.
C. Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
D. Start a new consumer application with the same consumer group id.
Answer: C
Explanation:
To reset offsets for anexisting consumer group, you must use thekafka-consumer-groups.shtool with the -- reset-offsets and --to-earliest flags.
FromKafka Consumer Group Tool Documentation:
"You can use the kafka-consumer-groups tool to reset offsets for a consumer group. This is required if the consumer has already committed offsets."
* Setting auto.offset.reset=earliest only worksif no committed offset exists.
* Starting a new consumer with the same group won't reset offsets.
* Retention settings don't affect committed offsets.
Reference:Kafka Consumer Group CLI Tool
NEW QUESTION # 51
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