Test-Taking Questions CCDAK Pre-assessment Test

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Confluent CCDAK Exam Overview:

Certification Vendor:	Confluent
Exam Name:	Confluent Certified Developer for Apache Kafka Certification Examination
Exam Number:	CCDAK
Exam Duration:	90 minutes
Passing Score:	Pass / Fail
Real Exam Qty:	60
Related Certifications:	Confluent Certified Administrator for Apache Kafka (CCAAK) Confluent Cloud Certified Operator (CCAC)
Exam Price:	$150 USD
Certificate Validity Period:	2 years
Available Languages:	English
Exam Format:	Multiple-choice, Matching, List order
Recommended Training:	Confluent Developer Training for Apache Kafka Confluent Documentation
Exam Registration:	Confluent Certification Portal
Sample Questions:	Confluent CCDAK Sample Questions
Exam Way:	Remote proctored online exam; requires webcam, microphone, Google Chrome browser
Pre Condition:	No mandatory prerequisites; recommended experience: 6+ months developing applications with Apache Kafka
Official Syllabus URL:	https://www.confluent.io/certification/

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Exam CCDAK Objectives, CCDAK Exam Simulations

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The CCDAK certification is a valuable asset for developers who want to advance their careers in the field of big data and data engineering. Confluent Certified Developer for Apache Kafka Certification Examination certification demonstrates a developer's proficiency in Apache Kafka and makes them stand out in the job market. Companies that use Apache Kafka value the CCDAK Certification as it indicates that the developer has the skills and knowledge necessary to build and manage Kafka-based applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q81-Q86):

NEW QUESTION # 81
In Avro, removing a field that does not have a default is a __ schema evolution

A. full
B. breaking
C. forward
D. backward

Answer: D

Explanation:
Clients with new schema will be able to read records saved with old schema.

NEW QUESTION # 82
You are sending messages with keys to a topic. To increase throughput, you decide to increase the number of partitions of the topic. Select all that apply.

A. New records may get written to a different partition
B. Old records will stay in their partitions
C. All the existing records will get rebalanced among the partitions to balance load
D. New records with the same key will get written to the partition where old records with that key were written

Answer: A,B

Explanation:
Increasing the number of partition causes new messages keys to get hashed differently, and breaks the guarantee "same keys goes to the same partition". Kafka logs are immutable and the previous messages are not re-shuffled

NEW QUESTION # 83
To allow consumers in a group to resume at the previously committed offset, I need to set the proper value for...

A. enable.auto.commit
B. group.id
C. auto.offset.resets
D. value.deserializer

Answer: B

Explanation:
Setting a group.id that's consistent across restarts will allow your consumers part of the same group to resume reading from where offsets were last committed for that group

NEW QUESTION # 84
You are building a system for a retail store selling products to customers.
Which three datasets should you model as a GlobalKTable?
(Select three.)

A. Inventory of products at a warehouse
B. Customer profile information
C. Log of payment transactions
D. Catalog of products
E. All purchases at a retail store occurring in real time

Answer: A,B,D

Explanation:
A GlobalKTable is a replicated, read-only table available in full on all instances. It's best for reference or lookup datasets such as:
Product catalog
Customer profiles
Warehouse inventory
From Kafka Streams Developer Guide:
"Use GlobalKTable when you need to perform joins using non-partition-aligned reference data that's small enough to replicate." Purchases and transactions are high-throughput, time-sensitive streams, not static reference data.
Reference: Kafka Streams Concepts > GlobalKTable

NEW QUESTION # 85
If I want to have an extremely high confidence that leaders and replicas have my data, I should use

A. acks=all, replication factor=3, min.insync.replicas=1
B. acks=all, replication factor=3, min.insync.replicas=2
C. acks=1, replication factor=3, min.insync.replicas=2
D. acks=all, replication factor=2, min.insync.replicas=1

Answer: B

Explanation:
acks=all means the leader will wait for all in-sync replicas to acknowledge the record. Also the min in-sync replica setting specifies the minimum number of replicas that need to be in-sync for the partition to remain available for writes.

NEW QUESTION # 86
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