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Confluent Certified Administrator for Apache Kafka Sample Questions (Q34-Q39):

NEW QUESTION # 34
A company is setting up a log ingestion use case where they will consume logs from numerous systems. The company wants to tune Kafka for the utmost throughput.
In this scenario, what acknowledgment setting makes the most sense?

A. acks=0
B. acks=all
C. acks=1
D. acks=undefined

Answer: A

Explanation:
acks=0 provides the highest throughput because the producer does not wait for any acknowledgment from the broker. This minimizes latency and maximizes performance.
However, it comes at the cost of no durability guarantees - messages may be lost if the broker fails before writing them. This setting is suitable when throughput is critical and occasional data loss is acceptable, such as in some log ingestion use cases where logs are also stored elsewhere.

NEW QUESTION # 35
Which ksqlDB statement produces data that is persisted into a Kafka topic?

A. SELECT (Push Query)
B. CREATE TABLE
C. SELECT (Pull Query)
D. INSERT VALUES

Answer: D

Explanation:
INSERT VALUES is used to write data directly into a Kafka topic through a ksqlDB stream or table. This data is persisted.

NEW QUESTION # 36
A 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. Use the parameter --partitions=3 when creating the topic.
B. Set 'min.insync.replicas' to 1.
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.

Answer: D

Explanation:
Replication factor determines how many copies of each partition exist across different brokers. A replication factor of 3 ensures that even if one or two brokers fail, the data is still available, thus eliminating a single point of failure.

NEW QUESTION # 37
If a broker's JVM garbage collection takes too long, what can occur?

A. Log files written to disk are loaded into the page cache.
B. There is backpressure to, and pausing of, Kafka clients.
C. There will be a trigger of the broker's log cleaner thread.
D. ZooKeeper believes the broker to be dead.

Answer: D

Explanation:
If the broker's JVM garbage collection (GC) pause is too long, it may fail to send heartbeats to ZooKeeper within the expected interval. As a result, ZooKeeper considers the broker dead, and the broker may be removed from the cluster, triggering leader elections and partition reassignments.

NEW QUESTION # 38
In certain scenarios, it is necessary to weigh the trade-off between latency and throughput. One method to increase throughput is to configure batching of messages.
In addition to batch.size, what other producer property can be used to accomplish this?

A. sendbufferbytes
B. compression
C. linger.ms
D. delivery.timeout.ms

Answer: C

Explanation:
The linger.ms property sets the maximum time the producer will wait before sending a batch, even if the batch isn't full. By increasing linger.ms, you allow more records to accumulate in the batch.

NEW QUESTION # 39
......

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