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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q78-Q83):

NEW QUESTION # 78
Which KSQL queries write to Kafka?

A. SHOW STREAMS and EXPLAIN <query> statements
B. CREATE STREAM AS SELECT and CREATE TABLE AS SELECT
C. COUNT and JOIN
D. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic>

Answer: B,D

Explanation:
SHOW STREAMS and EXPLAIN <query> statements run against the KSQL server that the KSQL client is connected to. They don't communicate directly with Kafka. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic> write metadata to the KSQL command topic. Persistent queries based on CREATE STREAM AS SELECT and CREATE TABLE AS SELECT read and write to Kafka topics.
Non-persistent queries based on SELECT that are stateless only read from Kafka topics, for example:
SELECT A FROM foo WHERE A;
Non-persistent queries that are stateful read and write to Kafka, for example, COUNT and JOIN. The data in Kafka is deleted automatically when you terminate the query with CTRL-C.

NEW QUESTION # 79
If I supply the setting compression.type=snappy to my producer, what will happen? (select two)

A. The Consumers have to compress the data
B. The Producers have to compress the data
C. The Kafka brokers have to de-compress the data
D. The Kafka brokers have to compress the data
E. The Consumers have to de-compress the data

Answer: E

Explanation:
Kafka transfers data with zero copy and no transformation. Any transformation (including compression) is the responsibility of clients.

NEW QUESTION # 80
You are running a Kafka Streams application in a Docker container managed by Kubernetes, and upon application restart, it takes a long time for the docker container to replicate the state and get back to processing the dat a. How can you improve dramatically the application restart?

A. Increase the number of Streams threads
B. Mount a persistent volume for your RocksDB
C. Reduce the Streams caching property
D. Increase the number of partitions in your inputs topic

Answer: B

Explanation:
Although any Kafka Streams application is stateless as the state is stored in Kafka, it can take a while and lots of resources to recover the state from Kafka. In order to speed up recovery, it is advised to store the Kafka Streams state on a persistent volume, so that only the missing part of the state needs to be recovered.

NEW QUESTION # 81
A consumer application runs once a week and reads from a Kafka topic. The last time the application ran, the last offset processed was 217. The application is configured with auto.offset.reset set to "latest". The current offsets in the topic start at 318 and end at 588.
What offset will the application start reading when it starts up for its next run?

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

Answer: C

NEW QUESTION # 82
To prevent network-induced duplicates when producing to Kafka, I should use

A. batch.size=1
B. retries=200000
C. max.in.flight.requests.per.connection=1
D. enable.idempotence=true

Answer: D

Explanation:
Producer idempotence helps prevent the network introduced duplicates. More details herehttps://cwiki.apache.org/confluence/display/KAFKA/Idempotent+Producer

NEW QUESTION # 83
......

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