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Confluent CCDAK Valid Examcollection, Exam CCDAK Vce

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q25-Q30):

NEW QUESTION # 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": "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"}
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": "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*"}

Answer: A

Explanation:
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.

NEW QUESTION # 26
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. Inventory of products at a warehouse e.g 100 items left
B. Log of payment transactions
C. All purchases at a retail store occurring in real time
D. Customer profile information
E. Catalog of products

Answer: A,B,E

NEW QUESTION # 27
What is ISR in Apache Kafka?

A. "in-sync" replicas
B. "in-sync" resource
C. "in-sync" remote access
D. "in-sync" retention

Answer: A

NEW QUESTION # 28
What is the default maximum size of a message the Apache Kafka broker can accept?

A. 2MB
B. 5MB
C. 10MB
D. 1MB

Answer: D

Explanation:
The default maximum message size that a Kafka broker accepts is1MB (1,048,576 bytes), controlled by the config propertymessage.max.bytes.
FromKafka Broker Configuration Docs:
"The default maximum message size is 1MB. To accept larger messages, configure message.max.bytes and the producer's max.request.size." Producers also have a matching limit via max.request.size, and consumers via fetch.message.max.bytes.
Reference:Kafka Broker Configuration > message.max.bytes

NEW QUESTION # 29
You are experiencing low throughput from a Java producer.
Metrics show low I/O thread ratio and low I/O thread wait ratio.
What is the most likely cause of the slow producer performance?

A. Compression is enabled.
B. The producer code has an expensive callback function.
C. The producer is sending large batches of messages.
D. There is a bad data link layer (layer 2) connection from the producer to the cluster.

Answer: B

Explanation:
Low I/O thread activity with blocked throughput often indicates that producer callbacks are consuming too much time, causing the sender thread to block while waiting for onCompletion() to finish.
From Kafka Producer Performance Guide:
"Expensive logic in callbacks (e.g., I/O or complex computation) can block the sender thread, reducing throughput." Compression (A) may slightly impact CPU but not I/O thread usage.
Large batches (B) improve throughput if managed correctly.
A Layer 2 network issue (C) would lead to packet loss, not specifically low callback metrics.
Reference: Kafka Producer Metrics and Performance Tuning

NEW QUESTION # 30
......

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