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CCAAK Testking - CCAAK Online Test

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Confluent CCAAK Prüfungsplan:

Thema
Einzelheiten

Thema 1

Deployment Architecture: This section of the exam measures skills of a Kafka Administrator and covers different Kafka deployment topologies. It evaluates understanding of high availability, disaster recovery, multi-data center replication, and the roles of Zookeeper or KRaft in the cluster architecture.

Thema 2

Observability: This section of the exam measures skills of a Site Reliability Engineer and focuses on monitoring Kafka clusters. It assesses knowledge of metrics, logging, and alerting tools, including how to use them to maintain cluster health and performance visibility.

Thema 3

Apache Kafka® Security: This section of the exam measures skills of a Site Reliability Engineer and focuses on securing Kafka environments. It includes authentication mechanisms such as TLS and SASL, authorization using ACLs, and encrypting data at rest and in transit to ensure secure communication and access control.

Thema 4

Apache Kafka® Fundamentals: This section of the exam measures skills of a Kafka Administrator and covers core concepts such as Kafka architecture, components, and data flow. It assesses the candidate’s understanding of topics like topics and partitions, brokers, producers, consumers, and message retention.

Thema 5

Troubleshooting: This section of the exam measures skills of a Kafka Administrator and includes diagnosing common issues in Kafka clusters. It covers problem areas such as performance bottlenecks, message delivery failures, replication issues, and consumer lag, along with techniques to resolve them effectively.

Thema 6

Kafka Connect: This section of the exam measures skills of a Site Reliability Engineer and addresses the use and management of Kafka Connect for data integration. It includes setting up connectors, managing configurations, and ensuring efficient movement of data between Kafka and external systems.

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Confluent Certified Administrator for Apache Kafka CCAAK Prüfungsfragen mit Lösungen (Q34-Q39):

34. Frage
An employee in the reporting department needs assistance because their data feed is slowing down. You start by quickly checking the consumer lag for the clients on the data stream.
Which command will allow you to quickly check for lag on the consumers?

A. bin/kafka-consumer-group-throughput.sh
B. bin/kafka-consumer-lag.sh
C. bin/kafka-reassign-partitions.sh
D. bin/kafka-consumer-groups.sh

Antwort: D

Begründung:
The kafka-consumer-groups.sh script is used to inspect consumer group details, including consumer lag, which indicates how far behind a consumer is from the latest data in the partition.
The typical usage is bin/kafka-consumer-groups.sh --bootstrap-server <broker> --describe --group <group_id>

35. Frage
When using Kafka ACLs, when is the resource authorization checked?

A. When the client connection is first established.
B. Each time the resource is accessed within the configured authorization interval.
C. Each time the resource is accessed.
D. The initial time the resource is accessed.

Antwort: C

Begründung:
Kafka ACLs (Access Control Lists) perform authorization checks every time a client attempts to access a resource (e.g., topic, consumer group). This ensures continuous enforcement of permissions, not just at connection time or intervals. This approach provides fine-grained security, preventing unauthorized actions at any time during a session.

36. Frage
Kafka Connect is running on a two node cluster in distributed mode. The connector is a source connector that pulls data from Postgres tables (users/payment/orders), writes to topics with two partitions, and with replication factor two. The development team notices that the data is lagging behind.
What should be done to reduce the data lag*?
The Connector definition is listed below:
{
"name": "confluent-postgresql-source",
"connector class": "PostgresSource",
"topic.prefix": "postgresql_",
& nbsp;& nbsp;& nbsp;...
"db.name": "postgres",
"table.whitelist": "users.payment.orders",
"timestamp.column.name": "created_at",
"output.data format": "JSON",
"db.timezone": "UTC",
"tasks.max": "1"
}

A. Increase the number of Connect Tasks (tasks max value).
B. Increase the number of Connect Nodes.
C. Increase the replication factor and increase the number of Connect Tasks.
D. Increase the number of partitions.

Antwort: A

Begründung:
The connector is currently configured with "tasks.max": "1", which means only one task is handling all tables (users, payment, orders). This can create a bottleneck and lead to lag. Increasing tasks.max allows Kafka Connect to parallelize work across multiple tasks, which can pull data from different tables concurrently and reduce lag.

37. Frage
Which property in broker configuration specifies that a broker belongs to a particular rack?
Which property in broker configuration specifies that a broker belongs to a particular rack?

A. client.rack
B. zookeeper.rack
C. broker.rack
D. kafka.rack

Antwort: C

Begründung:
The broker.rack property is used in a Kafka broker's configuration to specify the rack or availability zone the broker belongs to. This is important for rack-aware replica placement, allowing Kafka to distribute replicas across different racks for fault tolerance.

38. Frage
What are benefits to gracefully shutting down brokers? (Choose two.)

A. It will automatically re-elect leaders on restart.
B. It will balance the partitions across brokers before restarting.
C. It will sync all its logs to disk to avoid needing to do any log recovery when it restarts.
D. It will migrate any partitions the server is the leader for to other replicas prior to shutting down.

Antwort: C,D

Begründung:
A graceful shutdown ensures that logs are flushed to disk, minimizing recovery time during restart.
Kafka performs controlled leader migration during a graceful shutdown to avoid disruption and ensure availability.

39. Frage
......

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