CCDAK認證考試 - CCDAK PDF題庫

此外，這些Fast2test CCDAK考試題庫的部分內容現在是免費的：https://drive.google.com/open?id=1M4B2ISPPEDMpMuVNcpT2P2Zf8mTpEb8c

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Confluent CCDAK Exam Syllabus Topics:

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

>> CCDAK認證考試 <<

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最新的 Confluent Certified Developer CCDAK 免費考試真題 (Q89-Q94):

問題 #89
A stream processing application is tracking user activity in online shopping carts.
You want to identify periods of user inactivity.
Which type of Kafka Streams window should you use?

A. Tumbling
B. Hopping
C. Session
D. Sliding

答案：C

解題說明：
Session windowsare ideal for trackingperiods of activity separated by inactivity, such as user sessions.
FromKafka Streams Documentation > Windowing:
"A session window captures streams of events that areintermittentand separated by agap of inactivity."
* Tumbling/Hopping/Sliding windows are fixed in size
* Session windows are dynamic and close after inactivity timeout
This makes them perfect for identifyinggaps in user interaction.
Reference:Kafka Streams Developer Guide > Session Windows

問題 #90
You create a producer that writes messages about bank account transactions from tens of thousands of different customers into a topic.
* Your consumers must process these messages with low latency and minimize consumer lag
* Processing takes ~6x longer than producing
* Transactions for each bank account must be processedin orderWhich strategy should you use?

A. Use a combination of the bank account number and the transaction timestamp as the message key.
B. Use a unique identifier such as a universally unique identifier (UUID) as the message key.
C. Use the bank account number found in the message as the message key.
D. Use the timestamp of the message's arrival as its key.

答案：C

解題說明：
To maintainmessage ordering per bank account, themessage key must be the account number. Kafka guaranteesordering per partition, and the partition is selected based on thehash of the key.
FromKafka Producer Docs:
"All records with the same key will be sent to the same partition, and Kafka preserves the order of records in a partition." Using account number ensures:
* All messages for the same account go to the same partition
* Order is maintained
* Workload is evenly distributed if account keys are varied
Other options break ordering or introduce unnecessary randomness.
Reference:Kafka Producer Concepts > Partitions and Keys

問題 #91
A producer is sending messages with null key to a topic with 6 partitions using the DefaultPartitioner. Where will the messages be stored?

A. The partition for the null key
B. Partition 5
C. Partition 0
D. Any of the topic partitions

答案：B

解題說明：
Message with no keys will be stored with round-robin strategy among partitions.

問題 #92
You are building a system for a retail store selling products to customers.
Which three datasets should you model as a GlobalKTable?
(Select three.)

A. All purchases at a retail store occurring in real time
B. Customer profile information
C. Catalog of products
D. Inventory of products at a warehouse
E. Log of payment transactions

答案：B,C,D

解題說明：
AGlobalKTableis a replicated, read-only table available in full on all instances. It's best forreference or lookup datasetssuch as:
* Product catalog
* Customer profiles
* Warehouse inventory
FromKafka Streams Developer Guide:
"Use GlobalKTable when you need to perform joins using non-partition-aligned reference data that's small enough to replicate."
* Purchases and transactions are high-throughput, time-sensitive streams, not static reference data.
Reference:Kafka Streams Concepts > GlobalKTable

問題 #93
A Zookeeper ensemble contains 5 servers. What is the maximum number of servers that can go missing and the ensemble still run?

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

答案：B

解題說明：
majority consists of 3 zk nodes for 5 nodes zk cluster, so 2 can fail

問題 #94
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CCDAK PDF題庫: https://tw.fast2test.com/CCDAK-premium-file.html

P.S. Fast2test在Google Drive上分享了免費的、最新的CCDAK考試題庫：https://drive.google.com/open?id=1M4B2ISPPEDMpMuVNcpT2P2Zf8mTpEb8c