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Confluent CCDAK certification exam is a comprehensive exam that covers all aspects of Kafka development, including Kafka architecture, Kafka producers and consumers, Kafka Streams, Kafka Connect, Confluent Platform, and Kafka Security. CCDAK Exam is designed to test the candidate's ability to build Kafka-based applications using Confluent Platform, and their ability to troubleshoot and optimize Kafka applications.
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The CCDAK certification exam is meant for developers, architects, and engineers who have experience with Kafka development, and are looking to validate their expertise in the field. CCDAK exam provides a recognized validation of Kafka proficiency, which is valuable for both individuals and organizations. For individuals, the certification can help to enhance their career prospects and demonstrate their expertise to potential employers. For organizations, the certification can help to identify skilled Kafka developers and ensure that they have the necessary expertise to meet business needs.
The CCDAK certification exam is an online, proctored exam that consists of multiple-choice questions and hands-on exercises. CCDAK Exam is designed to be challenging, but fair, and is intended to test the knowledge and skills of developers who have experience working with Kafka. CCDAK exam is available to anyone who meets the prerequisites, which include experience working with Kafka and a solid understanding of distributed systems and programming concepts. The CCDAK certification exam is an excellent way for developers to demonstrate their expertise in Kafka and differentiate themselves in a competitive job market.
NEW QUESTION # 83
To prevent network-induced duplicates when producing to Kafka, I should use
Answer: D
Explanation:
Producer idempotence helps prevent the network introduced duplicates. More details herehttps://cwiki.apache.
org/confluence/display/KAFKA/Idempotent+Producer
NEW QUESTION # 84
In Avro, adding an element to an enum without a default is a __ schema evolution
Answer: C
Explanation:
Since Confluent 5.4.0, Avro 1.9.1 is used. Since default value was added to enum complex type , the schema resolution changed from:
(<1.9.1) if both are enums:** if the writer's symbol is not present in the reader's enum, then an error is signalled. **(>=1.9.1) if both are enums:
if the writer's symbol is not present in the reader's enum and the reader has a default value, then that value is used, otherwise an error is signalled.
NEW QUESTION # 85
Clients that connect to a Kafka cluster are required to specify one or more brokers in the bootstrap.servers parameter.
What is the primary advantage of specifying more than one broker?
Answer: D
Explanation:
The bootstrap.servers setting is used by clients (producers and consumers) to initially connect to the Kafka cluster. It does not need to list all brokers-just a few that are up and reachable. The client will then use the cluster metadata to discover the full broker list.
From Kafka Java Client Configuration Docs:
"This is a list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping." Hence, listing multiple brokers provides redundancy and fault tolerance in the event one is down during client startup.
Reference: Apache Kafka Java Client Configuration > bootstrap.servers
NEW QUESTION # 86
Which configuration allows more time for the consumer poll to process records?
Answer: D
Explanation:
max.poll.interval.ms defines the maximum delay between invocations of poll() before the consumer is considered failed. It essentially gives consumers more time to process records before needing to poll again.
From Kafka Consumer Configuration Reference:
"max.poll.interval.ms: The maximum delay between invocations of poll() when using consumer group management. If poll() is not called before expiration, the consumer is considered failed." session.timeout.ms and heartbeat.interval.ms relate to group coordination and heartbeats.
fetch.max.wait.ms affects how long the broker waits to accumulate data before sending a fetch response.
Reference: Apache Kafka Consumer Configs
NEW QUESTION # 87
Which statement describes the storage location for a sink connector's offsets?
Answer: B
Explanation:
Kafka Connectsink connectorsuse thestandard Kafka consumer mechanismto track offsets, which means offsets are stored in the__consumer_offsets internal topic.
FromKafka Connect Documentation:
"Sink connectors are regular Kafka consumers and store their offsets in the __consumer_offsets topic like any other consumer."
* The other options refer tosource connectorsor worker configuration.
* offsets.storage.topic is relevant forsource connectors.
Reference:Kafka Connect Concepts > Sink Connectors and Offset Storage
NEW QUESTION # 88
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