CCDAK認證考試 &新版CCDAK題庫上線

P.S. NewDumps在Google Drive上分享了免費的2026 Confluent CCDAK考試題庫：https://drive.google.com/open?id=1mIxDRLWZAkUrWRmcubEdMHlUwm6c10x1

在IT領域工作的你，肯定想通過IT 認證考試來證明自己的能力吧？而且，擁有IT 認證資格的同事和朋友也愈來愈多了吧。在這種情況下，如果一個資格都沒有就趕不上別人了。那麼，你決定參加哪個考試呢？Confluent的考試怎麼樣呢？比如像CCDAK認證考試這樣的考試。這是非常有價值的考試，肯定能幫助你實現你的願望。

Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Apache Kafka Application Development	28%	- Transactional messaging and idempotence - Consumer API: configuration, offset management, consumer groups, rebalancing - Schema management: Confluent Schema Registry, compatibility rules, evolution - Producer API: configuration, serialization, partitioning, error handling
Topic 2: Kafka Connect	15%	- Data transformation and integration patterns - Connect architecture: workers, connectors, tasks, converters - Source and sink connectors configuration
Topic 3: Apache Kafka Streams	12%	- Error handling and state management - Streams API concepts: topology, processors, state stores - Windowing and time semantics - Stream processing operations: map, filter, join, aggregation
Topic 4: Apache Kafka Fundamentals	23%	- Core concepts: brokers, topics, partitions, replicas, offsets - Kafka architecture and data flow - Configuration basics and cluster setup - Delivery semantics: at-most-once, at-least-once, exactly-once
Topic 5: Application Observability	13%	- Error diagnosis and troubleshooting - Tracing and performance tuning - Logging and monitoring metrics
Topic 6: Application Testing	8%	- Integration testing and test clusters - Mocking and test utilities - Unit testing producers and consumers

>> CCDAK認證考試 <<

CCDAK認證考試-最新考試題庫幫助妳壹次性通過考試

NewDumps是一個專門為一些IT認證考試提供針對性練習題及當前考試題目的培訓網站。我們針對熱門的Confluent CCDAK 認證考試研究出來了最新的培訓方案，相信又可以滿足很多人的需求。Confluent CCDAK 認證證書是很多知名IT企業錄用人的依據之一，所以這個認證考試現在很熱門。同時NewDumps也被很多人認可了，也很受一大部分人的信賴，也幫助了很多人成就了小小的夢想。如果你選擇NewDumps卻沒有成功通過考試，NewDumps會全額退款給你。

最新的 Confluent Certified Developer CCDAK 免費考試真題 (Q22-Q27):

問題 #22
(You need to set alerts on key broker metrics to trigger notifications when a Kafka cluster is unhealthy.
What are three minimum broker metrics to monitor for cluster health?
Select three.)

A. kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec
B. kafka.controller:type=KafkaController,name=OfflinePartitionsCount
C. kafka.controller:type=KafkaController,name=ActiveControllerCount
D. kafka.controller:type=KafkaController,name=TopicsToDeleteCount
E. kafka.controller:type=KafkaController,name=LastCommittedRecordOffset

答案：A,B,C

解題說明：
The Apache Kafka monitoring and operations documentation highlights several controller-level metrics that are critical indicators of cluster health.
ActiveControllerCount must always be 1 in a healthy cluster. A value of 0 indicates no active controller, while values greater than 1 indicate a serious split-brain condition. This metric is fundamental for cluster stability.
OfflinePartitionsCount is one of the most important health metrics. Any value greater than 0 means that some partitions have no available leader, making them unavailable for producers and consumers. This directly indicates a degraded or unhealthy cluster.
UncleanLeaderElectionsPerSec tracks the rate of unclean leader elections. Unclean elections can cause data loss, and any non-zero value is a strong signal of broker failures or misconfiguration and should immediately trigger alerts.
The remaining options are not minimum health indicators. LastCommittedRecordOffset is not a standard health metric, and TopicsToDeleteCount only indicates pending administrative operations, not cluster instability.
Therefore, the three minimum and officially recommended broker metrics for monitoring Kafka cluster health are UncleanLeaderElectionsPerSec, ActiveControllerCount, and OfflinePartitionsCount.

問題 #23
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=all can't produce?

A. 0
B. 1
C. 2
D. 3

答案：C

解題說明：
acks=all and min.insync.replicas=2 means we must have at least 2 brokers up for the partition to be available

問題 #24
You are receiving orders from different customer in an "orders" topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?

A. All messages with the same key will go the same partition, but the same partition may have messages with different keys. It is not possible to reserve
B. Create a custom partitioner
C. Define a Kafka Broker routing rule
D. Add metadata to the producer record

答案：B

解題說明：
A Custom Partitioner allows you to easily customise how the partition number gets computed from a source message.

問題 #25
(Which configuration is valid for deploying a JDBC Source Connector to read all rows from the orders table and write them to the dbl-orders topic?)

A. {"name": "dbl-orders","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&password=pas","topic.prefix":
"dbl-","table.blacklist": "ord*"}
B. {"name": "orders-connect","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl","topic.whitelist": "orders","auto.create":
"true"}
C. {"name": "jdbc-source","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&useAutoAuth=true","topic.
prefix": "dbl-","table.whitelist": "orders"}
D. {"name": "jdbc-source","connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&password=pas","topic.prefix":
"dbl-","table.whitelist": "orders"}

答案：D

解題說明：
According to the official Apache Kafka Connect and Confluent JDBC Source Connector documentation, the correct connector class for a JDBC source connector is io.confluent.connect.jdbc.JdbcSourceConnector. This connector is used to read data from relational databases and publish each table as a Kafka topic.
To read all rows from a specific table, the configuration must include table.whitelist (or table.include.list in newer versions) with the table name, and a topic.prefix to determine the Kafka topic name. In this case, using topic.prefix=dbl- with table.whitelist=orders results in records being written to the dbl-orders topic, which matches the requirement.
Options A, B, and C are invalid because they reference a non-existent connector class (DdbcSourceConnector), contain unsupported properties such as topic.whitelist for a source connector, or include malformed/incorrect JDBC parameters. Additionally, blacklisting tables does not ensure that only the orders table is read.
Therefore, option D is the only configuration that is syntactically correct, uses the proper connector class, and aligns with the official Kafka Connect JDBC Source Connector documentation.

問題 #26
There are five brokers in a cluster, a topic with 10 partitions and replication factor of 3, and a quota of producer_bytes_rate of 1 MB/sec has been specified for the client. What is the maximum throughput allowed for the client?

A. 10 MB/s
B. 1 MB/s
C. 5 MB/s
D. 0.33 MB/s

答案：C

解題說明：
Each producer is allowed to produce @ 1MB/s to a broker. Max throughput 5 * 1MB, because we have 5 brokers.

問題 #27
......

Confluent 的 CCDAK 考古題覆蓋了最新的考試指南，根據真實的 CCDAK 考試真題編訂，確保每位考生順利通過 CCDAK 考試。如果在考試過程中變題了，考生可以享受免費更新一年的考題服務，保障了考生的權利。CCDAK 考試適合於 Confluent 技術人士開發，目的是為了測驗考生基於各種平臺的設計和開發應用知識技能。考生要考取 CCDAK 認證，必須要擁有兩年開發技術領域的能力。

新版CCDAK題庫上線: https://www.newdumpspdf.com/CCDAK-exam-new-dumps.html

此外，這些NewDumps CCDAK考試題庫的部分內容現在是免費的：https://drive.google.com/open?id=1mIxDRLWZAkUrWRmcubEdMHlUwm6c10x1