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200+ Free Confluent Kafka Developer Practice Questions

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A team needs all events for a single customer to stay in order while still scaling across many customers. Which design choice best supports that goal?

A
B
C
D
to track
2026 Statistics

Key Facts: Confluent Kafka Developer Exam

$150

Exam Fee

Confluent training catalog item

90 min

Time Limit

Official FAQ and training catalog

2 years

Credential Validity

Official FAQ

28%

Largest Section

Application Development

7 days

Retake Wait

Official FAQ

60*

Working Question Count

Not currently published by Confluent

2025-04-14

Guide Date

Official PDF

As of March 11, 2026, Confluent's current public materials confirm a $150 exam price, 90-minute proctored delivery, English language delivery, a 2-year certification validity window, and a 7-day retake wait. The official April 14, 2025 exam guide publishes six weighted sections led by Application Development at 28% and Fundamentals at 23%. Confluent's current public guide does not publish a fixed question count or passing score, so this page uses 60 questions only as a working practice-exam benchmark commonly used by prep providers. No separate 2026 blueprint change notice was found in current public Confluent materials.

Sample Confluent Kafka Developer Practice Questions

Try these sample questions to test your Confluent Kafka Developer exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 200+ question experience with AI tutoring.

1A team needs all events for a single customer to stay in order while still scaling across many customers. Which design choice best supports that goal?
A.Use the customer ID as the record key
B.Publish every event to a random partition
C.Create one topic per event type only
D.Use a new consumer group for each customer
Explanation: Kafka preserves order only within a partition. Using the customer ID as the key keeps a customer's records on the same partition, which preserves per-customer ordering while other customers can still scale across partitions.
2In Kafka, what does an offset represent?
A.A broker identifier for a client connection
B.A record's position within a partition log
C.The replication factor for a topic
D.A time-to-live value for a message
Explanation: An offset is the sequential position of a record in a specific partition. Offsets are partition-local, so the same numeric offset can exist in multiple partitions without conflict.
3A consumer successfully reads records from a topic. What happens to those records immediately afterward?
A.They are deleted as soon as any consumer reads them
B.They remain in the log until retention or compaction removes them
C.They move automatically to an archive topic
D.They are copied into the consumer group metadata topic
Explanation: Kafka does not delete records just because a consumer read them. Records stay in the log until the topic's retention or cleanup policy removes them.
4What is a Kafka topic best described as?
A.A named append-only log divided into partitions
B.A load balancer in front of brokers
C.A schema registry namespace
D.A consumer-side cache of recent messages
Explanation: A topic is Kafka's named log abstraction, and its data is stored in one or more partitions. Producers write records to the topic, and consumers read them from the partitions.
5A consumer group has three consumers and a topic has two partitions. What is the maximum number of consumers that can read that topic in parallel within the same group?
A.1
B.2
C.3
D.6
Explanation: Within one consumer group, each partition is assigned to at most one consumer at a time. With only two partitions, the group can read with at most two-way parallelism, so one consumer will sit idle.
6Why does a Kafka client need a `bootstrap.servers` list?
A.It permanently pins the client to one broker for all requests
B.It gives the client initial brokers to contact so it can fetch cluster metadata
C.It stores the offsets for every consumer group
D.It configures the topic replication factor
Explanation: The bootstrap list is only the starting point for client discovery. After connecting, the client retrieves cluster metadata and talks to the appropriate partition leaders.
7A topic has replication factor 3. What does that mean for each partition?
A.Each partition can have up to three producers
B.Each partition has one leader replica and two follower replicas
C.Each partition can be consumed by exactly three consumer groups
D.Each record is stored in three separate topics
Explanation: Replication factor 3 means Kafka keeps three copies of each partition across brokers when possible. One replica serves as leader, and the others follow it to provide redundancy.
8Which statement about ordering in Kafka is correct?
A.Kafka guarantees one global order across all partitions in a topic
B.Kafka guarantees order only within a partition
C.Kafka guarantees order only across consumer groups
D.Kafka does not preserve order at all
Explanation: Kafka preserves record order within an individual partition because records are appended sequentially there. Once data is spread across multiple partitions, there is no single global topic-wide order.
9Which cleanup policy is most appropriate when an application needs the latest value for each key over time?
A.delete only
B.compact
C.mirror
D.snapshot
Explanation: Log compaction retains the latest record for each key instead of keeping every historical version forever. That makes it a good fit for state-style topics where the newest value matters most.
10A client must both authenticate to brokers and encrypt traffic in transit. Which `security.protocol` setting is the usual fit?
A.PLAINTEXT
B.SSL
C.SASL_SSL
D.SASL_PLAINTEXT
Explanation: SASL_SSL combines SASL-based authentication with TLS encryption. SSL encrypts traffic but does not add SASL authentication, while SASL_PLAINTEXT authenticates without encrypting.

About the Confluent Kafka Developer Exam

The Confluent Certified Developer for Apache Kafka (CCDAK) validates your ability to build and maintain real-time Kafka applications. The current official guide focuses on Apache Kafka fundamentals, application development with producer and consumer APIs, Kafka Streams, Kafka Connect, testing practices, and application observability rather than cluster administration or Confluent-only platform components.

Assessment

Current public Confluent materials confirm a 90-minute proctored exam with multiple-choice, multiple-response, matching, and build-list items; the fixed item count is not currently published, so 60 is a working count used by many prep providers

Time Limit

90 minutes

Passing Score

Not publicly published by Confluent

Exam Fee

$150 (Confluent)

Confluent Kafka Developer Exam Content Outline

23%

Apache Kafka Fundamentals

Core architecture, topics, partitions, offsets, replication, retention, security basics, and command-line or Admin API fundamentals.

28%

Apache Kafka Application Development

Producer and consumer APIs, keying and data modeling, headers, retries and delivery guarantees, serialization, tuning, and client deployment.

12%

Apache Kafka Streams

Stream processing topologies, stateful operations, joins, windows, state stores, SerDes, and processing guarantees.

15%

Kafka Connect

Source and sink connector fundamentals, workers and tasks, converters and transforms, CDC, error handling, and deployment reasoning.

8%

Application Testing

Producer and consumer tests, Streams topology tests, integration environments, deterministic assertions, and regression coverage.

13%

Application Observability

Lag, throughput, error, and latency metrics, structured logging, tracing, dashboards, and troubleshooting application behavior.

How to Pass the Confluent Kafka Developer Exam

What You Need to Know

  • Passing score: Not publicly published by Confluent
  • Assessment: Current public Confluent materials confirm a 90-minute proctored exam with multiple-choice, multiple-response, matching, and build-list items; the fixed item count is not currently published, so 60 is a working count used by many prep providers
  • Time limit: 90 minutes
  • Exam fee: $150

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

Confluent Kafka Developer Study Tips from Top Performers

1Study in weight order: Application Development plus Fundamentals account for 51% of the blueprint, so those sections should anchor your prep plan.
2Practice keying, partitions, offsets, retries, idempotence, and consumer-group behavior until you can explain the tradeoffs without reading config docs.
3Treat Kafka Streams as applied development rather than theory. You should be comfortable reasoning about repartitioning, windows, state stores, joins, and processing guarantees.
4Know Kafka Connect boundaries clearly: connectors move data, converters handle serialization, SMTs do lightweight per-record transformations, and tasks provide connector-level parallelism.
5Do not over-study out-of-scope platform topics such as ksqlDB, CFK, RBAC, connector-specific plug-ins, or Kafka cluster administration, because the official guide explicitly excludes them.
6Use testing and observability scenarios to sharpen judgment: be ready to choose the right metric, log signal, or test strategy for a failure mode rather than naming tools in isolation.
7Before scheduling, make sure your remote-testing setup works, your account name matches your government ID, and you understand the 7-day retake and 5-day cancellation rules from Confluent's public FAQ.

Frequently Asked Questions

How many questions are on the CCDAK exam?

Confluent's current public certification page and April 14, 2025 exam guide do not publish a fixed question count for CCDAK. Many prep providers still model the exam as 60 questions in 90 minutes, which is why this page uses 60 as a working benchmark, but the officially published details are the 90-minute proctored format and the six weighted content sections.

What is the current passing score?

Confluent's current public materials do not publish a passing-score percentage or scaled cut score for CCDAK. You should treat any third-party passing percentage as unofficial and instead prepare for strong performance across all six published blueprint sections.

What topics matter most on the Kafka developer exam?

Application Development is the largest official section at 28%, followed by Fundamentals at 23%, Kafka Connect at 15%, and Application Observability at 13%. Kafka Streams is 12% and Application Testing is 8%, so producers, consumers, keying, retries, tuning, delivery semantics, and general architecture should drive the largest share of your study time.

What changed in 2026?

No separate 2026 CCDAK blueprint or scoring-policy change notice was found in current public Confluent materials as of March 11, 2026. The current public guide remains dated April 14, 2025, and the public certification FAQ continues to state 90-minute proctored delivery, 7-day retake wait, 5-day cancellation window, English-only exams with accommodation requests by email, and 2-year credential validity.

Can I take the exam remotely?

Yes. Confluent's public FAQ says certification exams can be taken remotely if your system meets the published requirements, including webcam, microphone, Chrome, and identity verification with government ID. The same FAQ also notes that in-person testing-center delivery exists, so candidates should follow the current scheduling options shown in their training account.

How should I prepare for CCDAK?

Start with the official guide and focus on the published weighted sections. Build and troubleshoot small producer-consumer apps, practice keying and partition behavior, work through Kafka Streams and Kafka Connect basics, and be able to reason about testing and observability tradeoffs rather than just memorizing definitions.