Real Confluent CCDAK Exam Dumps with Correct 200 Questions and Answers
Valid CCDAK Test Answers & Confluent CCDAK Exam PDF
The CCDAK certification is highly regarded by employers and industry professionals as a mark of excellence in Apache Kafka development. It is an excellent way for developers to demonstrate their knowledge and expertise in Apache Kafka and to differentiate themselves from their peers in a competitive job market. Additionally, being certified in Apache Kafka helps professionals to stay current with the latest trends and developments in the rapidly evolving world of big data and real-time streaming.
The CCDAK certification program is designed for developers who are looking to improve their skills and knowledge in Kafka development. Confluent Certified Developer for Apache Kafka Certification Examination certification program provides a comprehensive and structured approach to learning Kafka and its related technologies. By passing the CCDAK certification exam, developers can demonstrate their proficiency in Kafka development, which can lead to better job opportunities and higher salaries. The CCDAK certification program is an excellent way for developers to validate their skills and knowledge in Kafka development, and it is a valuable asset for individuals and organizations that use Kafka for data streaming and processing.
NEW QUESTION # 18
What isn't an internal Kafka Connect topic?
- A. connect-jars
- B. connect-offsets
- C. connect-status
- D. connect-configs
Answer: A
Explanation:
connect-configs stores configurations, connect-status helps to elect leaders for connect, and connect-offsets store source offsets for source connectors
NEW QUESTION # 19
What isn't a feature of the Confluent schema registry?
- A. Store avro data
- B. Enforce compatibility rules
- C. Store schemas
Answer: A
Explanation:
Data is stored on brokers.
NEW QUESTION # 20
You create a topic with five partitions.
What can be assumed about messages read from that topic by a single consumer group?
- A. All the messages will be read from exactly one Broker by the consumer group.
- B. The consumer group can only read the same number of messages from all the partitions.
- C. Messages can be consumed by a maximum of five consumers in the same consumer group.
- D. Messages read from any one partition by the consumer group will all have exactly the same key.
Answer: C
NEW QUESTION # 21
Your streams application is reading from an input topic that has 5 partitions. You run 5 instances of your application, each with num.streams.threads set to 5. How many stream tasks will be created and how many will be active?
- A. 5 created, 1 active
- B. 25 created, 25 active
- C. 25 created, 5 active
- D. 5 created, 5 active
Answer: C
Explanation:
One partition is assigned a thread, so only 5 will be active, and 25 threads (i.e. tasks) will be created
NEW QUESTION # 22
Consumer failed to process record # 10 and succeeded in processing record # 11. Select the course of action that you should choose to guarantee at least once processing
- A. Commit offsets at 11
- B. Commit offsets at 10
- C. Do not commit until successfully processing the record #10
Answer: A
Explanation:
Here, you shouldn't commit offsets 11 or 10 as it would indicate that the message #10 has been processed successfully.
NEW QUESTION # 23
There are two consumers C1 and C2 belonging to the same group G subscribed to topics T1 and T2. Each of the topics has 3 partitions. How will the partitions be assigned to consumers with Partition Assigner being Round Robin Assigner?
- A. C1 will be assigned partitions 0 and 2 from T1 and partition 1 from T2. C2 will have partition 1 from T1 and partitions 0 and 2 from T2.
- B. All consumers will read from all partitions
- C. Two consumers cannot read from two topics at the same time
- D. C1 will be assigned partitions 0 and 1 from T1 and T2, C2 will be assigned partition 2 from T1 and T2.
Answer: A
Explanation:
The correct option is the only one where the two consumers share an equal number of partitions amongst the two topics of three partitions. An interesting article to read ishttps://medium.com/@anyili0928/what-i-have-learned-from-kafka-partition-assignment-strategy-799fdf15d3ab
NEW QUESTION # 24
You are building a system for a retail store to sell products to customers Which dataset should be modeled as a GlobatKTable? (Choose 3.)
- A. Log of payment transactions
- B. All purchases at a retail store occurring in real time
- C. Inventory of products at a warehouse e.g 100 items left
- D. Customer profile information
- E. Catalog of products
Answer: A,C,E
NEW QUESTION # 25
is KSQL ANSI SQL compliant?
- A. Yes
- B. No
Answer: B
Explanation:
KSQL is not ANSI SQL compliant, for now there are no defined standards on streaming SQL languages
NEW QUESTION # 26
I am producing Avro data on my Kafka cluster that is integrated with the Confluent Schema Registry. After a schema change that is incompatible, I know my data will be rejected. Which component will reject the data?
- A. The Kafka Producer itself
- B. The Kafka Broker
- C. The Confluent Schema Registry
- D. Zookeeper
Answer: C
Explanation:
The Confluent Schema Registry is your safeguard against incompatible schema changes and will be the component that ensures no breaking schema evolution will be possible. Kafka Brokers do not look at your payload and your payload schema, and therefore will not reject data
NEW QUESTION # 27
An ecommerce wesbite sells some custom made goods. What's the natural way of modeling this data in Kafka streams?
- A. Purchase as table, Product as table, Customer as table
- B. Purchase as stream, Product as table, Customer as stream
- C. Purchase as stream, Product as stream, Customer as stream
- D. Purchase as stream, Product as table, Customer as table
Answer: D
Explanation:
Mostly-static data is modeled as a table whereas business transactions should be modeled as a stream.
NEW QUESTION # 28
A consumer has auto.offset.reset=latest, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group never committed offsets for the topic before. Where will the consumer read from?
- A. offset 45
- B. offset 0
- C. offset 2311
- D. it will crash
Answer: C
Explanation:
Latest means that data retrievals will start from where the offsets currently end
NEW QUESTION # 29
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=1 can't produce?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
min.insync.replicas does not impact producers when acks=1 (only when acks=all)
NEW QUESTION # 30
A stream processing application is tracking the user activity of online shopping carts. The application tracks items added to the cart, items removed from the cart, and items ordered from the cart throughout the day for each user.
You need to capture the data to identify possible periods of user inactivity.
Which type of Kafka Streams window should you use?
- A. Sliding
- B. Session
- C. Hopping
- D. Tumbling
Answer: B
NEW QUESTION # 31
You are doing complex calculations using a machine learning framework on records fetched from a Kafka topic. It takes more about 6 minutes to process a record batch, and the consumer enters rebalances even though it's still running. How can you improve this scenario?
- A. Add consumers to the consumer group and kill them right away
- B. Increase heartbeat.interval.ms to 600000
- C. Increase max.poll.interval.ms to 600000
- D. Increase session.timeout.ms to 600000
Answer: C
Explanation:
Here, we need to change the setting max.poll.interval.ms (default 300000) to its double in order to tell Kafka a consumer should be considered dead if the consumer only if it hasn't called the .poll() method in 10 minutes instead of 5.
NEW QUESTION # 32
What is true about partitions? (select two)
- A. A broker can have different partitions numbers for the same topic on its disk
- B. A broker can have a partition and its replica on its disk
- C. You cannot have more partitions than the number of brokers in your cluster
- D. A partition has one replica that is a leader, while the other replicas are followers
- E. Only out of sync replicas are replicas, the remaining partitions that are in sync are also leader
Answer: A,D
Explanation:
Only one of the replicas is elected as partition leader. And a broker can definitely hold many partitions from the same topic on its disk, try creating a topic with 12 partitions on one broker!
NEW QUESTION # 33
What's is true about Kafka brokers and clients from version 0.10.2 onwards?
- A. A newer client can talk to a newer broker, and an older client can talk to a newer broker
- B. Clients and brokers must have the exact same version to be able to communicate
- C. A newer client can talk to a newer broker, but an older client cannot talk to a newer broker
- D. A newer client can't talk to a newer broker, but an older client can talk to a newer broker
Answer: A
Explanation:
Kafka's new bidirectional client compatibility introduced in 0.10.2 allows this. Read more herehttps://www.confluent.io/blog/upgrading-apache-kafka-clients-just-got-easier/
NEW QUESTION # 34
Which of the following is a push query?
- A. CREATE STREAM STUDENTS (ID STRING KEY, SCORE INT)
WITH (kafka_topic='students_topic', value_format='JSON', partitions=4); - B. SELECT *
FROM NUMBER_OF_TESTS
WHERE ID='10'; - C. SELECT windowstart, windowend, item_id, SUM(quantity)
FROM orders
WINDOW TUMBLING (SIZE 20 SECONDS)
GROUP BY item_id
EMIT CHANGES; - D. CREATE TABLE LEFT_TABLE (ID BIGINT PRIMARY KEY, NAME varchar, VALUE bigint) WITH (kafka_topic='left_topic', value_format='JSON', partitions=4);
Answer: C
NEW QUESTION # 35
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CCDAK Exam Questions and Valid PMP Dumps PDF: https://www.realexamfree.com/CCDAK-real-exam-dumps.html
Confluent CCDAK Certification Real 2025 Mock Exam: https://drive.google.com/open?id=1kpIolYABkjPmtCk3i2jFoEDQ2CvVeoHT
