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問題 #64
Which two producer exceptions are examples of the class RetriableException? (Select two.)
- A. NotEnoughReplicasException
- B. RecordTooLargeException
- C. LeaderNotAvailableException
- D. AuthorizationException
答案:A,C
解題說明:
BothLeaderNotAvailableExceptionandNotEnoughReplicasExceptionare subclasses of RetriableException, which representstransient issuesthat may succeed upon retry.
FromApache Kafka Java Client Documentation:
"RetriableException indicates that the request can be retried. This includes network errors and certain broker- side failures like leader not available or not enough replicas."
* RecordTooLargeException and AuthorizationException arenon-retriablebecause they represent client misconfigurations or access issues.
Reference:Kafka Error Handling Guide > Retriable vs. Non-Retriable Exceptions
問題 #65
(You are writing to a Kafka topic with producer configuration acks=all.
The producer receives acknowledgements from the broker but still creates duplicate messages due to network timeouts and retries.
You need to ensure that duplicate messages are not created.
Which producer configuration should you set?)
- A. retries=0max.in.flight.requests.per.connection=5enable.idempotence=true
- B. retries=2147483647max.in.flight.requests.per.connection=1enable.idempotence=true
- C. retries=2147483647max.in.flight.requests.per.connection=5enable.idempotence=false
- D. enable.auto.commit=true
答案:B
解題說明:
The official Apache Kafka producer documentation states that setting enable.idempotence=true guarantees that messages are written to a partition exactly once, even in the presence of retries caused by network failures or broker timeouts. This feature prevents duplicate records by assigning producer sequence numbers and validating them on the broker side.
For idempotent producers to work correctly, retries must be enabled, which is why Kafka recommends a very large value such as retries=2147483647. Additionally, limiting max.in.flight.requests.per.connection to 1 ensures strict ordering during retries, preventing message reordering in older Kafka versions and providing the safest configuration.
Option A is irrelevant to producers. Option B explicitly disables idempotence, which causes duplicates.
Option D disables retries, which increases the risk of message loss.
Therefore, the correct and fully documented solution to eliminate duplicate messages is enabling idempotence with retries and a safe in-flight request limit, as shown in Option C.
問題 #66
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=1 can't produce?
答案:A
解題說明:
min.insync.replicas does not impact producers when acks=1 (only when acks=all)
問題 #67
Partition leader election is done by
- A. Vote amongst the brokers
- B. The consumers
- C. The Kafka Broker that is the Controller
- D. Zookeeper
答案:D
解題說明:
The Controller is a broker that is responsible for electing partition leaders
問題 #68
A consumer wants to read messages from partitions 0 and 1 of a topic topic1. Code snippet is shown below.
consumer.subscribe(Arrays.asList("topic1"));
List<TopicPartition> pc = new ArrayList<>();
pc.add(new PartitionTopic("topic1", 0));
pc.add(new PartitionTopic("topic1", 1));
consumer.assign(pc);
- A. This works fine. subscribe() will subscribe to the topic and assign() will assign partitions to the consumer.
- B. Throws IllegalStateException
答案:B
解題說明:
subscribe() and assign() cannot be called by the same consumer, subscribe() is used to leverage the consumer group mechanism, while assign() is used to manually control partition assignment and reads assignment
問題 #69
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