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CCDAK New Study Questions & Cost Effective CCDAK Dumps

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q57-Q62):

NEW QUESTION # 57
To enhance compression, I can increase the chances of batching by using

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

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 # 58
How will you read all the messages from a topic in your KSQL query?

A. KSQL reads from the end of a topic. This cannot be changed.
B. Use KSQL CLI to set auto.offset.reset property to earliest
C. KSQL reads from the beginning of a topic, by default.

Answer: B

Explanation:
Consumers can set auto.offset.reset property to earliest to start consuming from beginning. For KSQL, SET
'auto.offset.reset'='earliest';

NEW QUESTION # 59
A topic has three replicas and you set min.insync.replicas to 2. If two out of three replicas are not available, what happens when a consume request is sent to broker?

A. Data will be returned from the remaining in-sync replica
B. A new leader for the partition will be elected
C. NotEnoughReplicasException will be returned
D. An empty message will be returned

Answer: A

Explanation:
With this configuration, a single in-sync replica is still readable, but not writeable if the producer using acks=all

NEW QUESTION # 60
You need to set alerts on key broker metrics to trigger notifications when the cluster is unhealthy.
Which are three minimum broker metrics to monitor?
(Select three.)

A. kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec
B. kafka.controller:type=KafkaController,name=LastCommittedRecordOffset
C. kafka.controller:type=KafkaController,name=ActiveControllerCount
D. kafka.controller:type=KafkaController,name=OfflinePartitionsCount
E. kafka.controller:type=KafkaController,name=TopicsToDeleteCount

Answer: A,C,D

Explanation:
These three metrics are critical for cluster health:
* OfflinePartitionsCount: Indicates partitions without active leaders - a sign of broker failure.
* ActiveControllerCount: There should beexactly one active controller. A count # 1 signals controller failure.
* UncleanLeaderElectionsPerSec: Tracks leader elections where out-of-sync replicas were selected - risky for data loss.
FromKafka Monitoring Documentation:
"Offline partitions and unclean leader elections should trigger alerts. Also, ensure a single active controller is running."
* A is about topics pending deletion - not critical.
* E is a per-topic record metric, not broker-level.
Reference:Kafka Monitoring > Key JMX Metrics

NEW QUESTION # 61
What is accomplished by producing data to a topic with a message key?

A. Consumers can filter messages in real time based on the message key without processing unrelated messages.
B. Messages with the same key are routed to a deterministically selected partition, enabling order guarantees within that partition.
C. Kafka brokers allow you to add more partitions to a given topic, without impacting the data flow for existing keys.
D. It provides a mechanism for encrypting messages at the partition level to ensure secure data transmission.

Answer: B

Explanation:
When amessage keyis specified in Kafka, the producer uses apartitioner(typically the default hash-based partitioner) todeterministically map all records with the same key to the same partition. Kafka guarantees order within a partition, so this enables per-key ordering.
FromKafka Producer Concepts:
"If a key is present, the producer will always route records with the same key to the same partition. Kafka preserves the order of records within a partition." This is essential for ordered processing and join semantics.
Reference:Kafka Producer Design > Partitions and Keys

NEW QUESTION # 62
......

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