此外，這些KaoGuTi CCDAK考試題庫的部分內容現在是免費的：https://drive.google.com/open?id=1-yaBwC_xRZwu7bzI8PXvlPfJWU7u7r28
CCDAK認證考試是現今很受歡迎的考試。還沒有取得這個考試的認證資的你，肯定也想參加這個考試了吧。確實，這是一個困難的考試，但是這也並不是說不能 取得高分輕鬆通過考試。那麼，還不知道通過考試的捷徑的你，想知道技巧嗎？我現在告訴你，那就是KaoGuTi的CCDAK考古題。
| Section | Weight | Objectives |
|---|---|---|
| Kafka Fundamentals | 10-15% | - Topics, Partitions, and Offsets - Replication Factor and ISR - Producer and Consumer Basics - Brokers and Clusters - Log Segments and Retention |
| Developing with Kafka Producers | 15-20% | - Producer Configuration and Tuning - Partitioning Strategies - Exactly-Once Semantics - Idempotent Producers - Producer Interceptors - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic |
| Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Streams Architecture and Topology - State Stores and Processors - Windowed Operations (Tumbling, Hopping, Session) - Interactive Queries - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) |
| Developing with Kafka Consumers | 15-20% | - Multi-threaded Consumers - Commit Strategies (Auto, Manual, Cooperative) - Consumer Interceptors - Offset Management - Consumer Groups and Rebalancing - Consumer Configuration and Tuning - Deserialization |
| Monitoring and Operations | 5-10% | - Kafka Metrics and Monitoring - Consumer Lag and Health Checks - Log Compaction - Cross-region Replication - Disaster Recovery |
| Schema Management | 5-10% | - Schema Registration and Retrieval - Protobuf and JSON Schemas - Avro Schemas - Schema Evolution and Compatibility - Schema Registry Architecture |
| Installing and Configuring Kafka | 5-10% | - Partition Assignment Strategies - Broker Configuration Parameters - ZooKeeper vs KRaft Mode - Topic Creation and Configuration |
| Kafka Connect | 10-15% | - Converters and Transforms - Source and Sink Connectors - Single Message Transformations (SMT) - Connector Configuration - Connect Architecture (Workers, Connectors, Tasks) - Offset Management in Connect |
| Security | 5-10% | - Securing Schema Registry - Authentication (SASL, SSL/TLS) - Encryption in Transit - Authorization (ACLs) |
在這個資訊時代，IT行業被很多人關注，但是在如今人才濟濟的社會裏任然比較缺乏IT人。很多公司都招聘IT人才，他們一般考察IT人才的能力會參考他們擁有的IT相關認證證書，所以擁有一些IT相關的認證證書是受很多公司歡迎的。但是這些認證證書也不是很容易就能拿到的。Confluent CCDAK 就是一個相當有難度的認證考試，雖然很多人報名參加Confluent CCDAK考試，但是通過率並不是很高。
問題 #16
What is the risk of increasing max.in.flight.requests.per.connection while also enabling retries in a producer?
答案：D
解題說明：
Some messages may require multiple retries. If there are more than 1 requests in flight, it may result in messages received out of order. Note an exception to this rule is if you enable the producer settingenable.
idempotence=true which takes care of the out of ordering case on its own. Seehttps://issues.apache.org/jira
/browse/KAFKA-5494
問題 #17
A stream processing application is tracking the user activity of online shopping carts. The application tracks items added to the cart, items removed from the cart, and items ordered from the cart throughout the day for each user.
You need to capture the data to identify possible periods of user inactivity.
Which type of Kafka Streams window should you use?
答案：C
問題 #18
Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?
答案：D
解題說明：
Kafka producers can group messages destined fordifferent partitionsintoseparate batches, and send multiple batches in one requestto optimize network usage.
FromKafka Producer Internals:
"The producer maintains buffers (batches) for each partition and can send multiple of these batches together in a single request to the broker."
* Message size is not a constraint for batching (A is false).
* Broker failures don't disable batching (B is false).
* There isno separate thread per batch(C is false).
Reference:Kafka Producer Architecture and Internals
問題 #19
You are using JDBC source connector to copy data from 2 tables to two Kafka topics. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?
答案：A
解題說明：
we have two tables, so the max number of tasks is 2
問題 #20
I am producing Avro data on my Kafka cluster that is integrated with the Confluent Schema Registry. After a schema change that is incompatible, I know my data will be rejected. Which component will reject the data?
答案：B
解題說明：
The Confluent Schema Registry is your safeguard against incompatible schema changes and will be the component that ensures no breaking schema evolution will be possible. Kafka Brokers do not look at your payload and your payload schema, and therefore will not reject data
問題 #21
......
當你準備CCDAK考試的時候，盲目地學習與考試相關的知識是很不理想的學習方法。其實想要通過考試是有竅門的。如果你使用了好的工具，不僅可以節省很多的時間，還能得到輕鬆通過考試的保證。如果你想问什么工具，那当然是KaoGuTi的CCDAK考古題了。
CCDAK考古题推薦: https://www.kaoguti.com/CCDAK_exam-pdf.html
此外，這些KaoGuTi CCDAK考試題庫的部分內容現在是免費的：https://drive.google.com/open?id=1-yaBwC_xRZwu7bzI8PXvlPfJWU7u7r28