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| Section | Objectives |
|---|---|
| Kafka Fundamentals | - Data flow in Kafka
|
| Kafka Streams and Processing | - Kafka Streams API
|
| Kafka Producers and Consumers | - Consumer API
|
| Kafka Ecosystem and Confluent Platform | - Schema Registry
|
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NEW QUESTION # 48
(Which configuration determines the maximum number of records a consumer can poll in a single call to poll()?)
Answer: B
Explanation:
The Apache Kafka consumer configuration max.poll.records explicitly controls the maximum number of records returned in a single call to Consumer.poll(). This is clearly documented in the official Kafka consumer configuration reference. It allows developers to limit the size of the batch returned to the application, helping to control processing latency, memory usage, and CPU load.
This setting does not affect how much data the broker sends to the consumer; instead, it limits how many records the consumer returns to the application layer from the fetched data. This makes it especially useful for applications where processing each record is expensive and needs predictable batch sizes.
Option B (max.records.consumer) does not exist in Kafka. Option C (fetch.max.records) is also invalid; Kafka uses fetch.max.bytes and related byte-based configurations, not record-count limits, at the fetch level. Option D (max.poll.records.interval) is not a valid Kafka configuration; the correct related setting is max.poll.interval.
ms, which controls liveness, not batch size.
Thus, max.poll.records is the correct and officially documented configuration.
NEW QUESTION # 49
Clients that connect to a Kafka cluster are required to specify one or more brokers in the bootstrap.
servers parameter.
What is the primary advantage of specifying more than one broker?
Answer: C
Explanation:
The bootstrap.servers setting is used by clients (producers and consumers) toinitially connectto the Kafka cluster. It does not need to list all brokers-just a few that are up and reachable. The client will then use the cluster metadata to discover the full broker list.
FromKafka Java Client Configuration Docs:
"This is a list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping." Hence,listing multiple brokers provides redundancyand fault tolerance in the event one is down during client startup.
Reference:Apache Kafka Java Client Configuration > bootstrap.servers
NEW QUESTION # 50
Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
(Select two.)
Answer: A,D
Explanation:
SMTs (Single Message Transforms) are lightweight transformations applied to individual messages as they pass through Kafka Connect.
Chaining SMTs: You can apply multiple SMTs in sequence by defining them in order in the connector config.
Masking or modifying fields is a common use case (e.g., redacting sensitive data).
From Kafka Connect Documentation:
"Single Message Transforms (SMTs) are applied to individual messages. You can chain multiple SMTs together." SMTs do not perform joins (B is incorrect).
Converters and SMTs are separate concerns (D is incorrect).
Reference: Kafka Connect Transformations Guide
NEW QUESTION # 51
In stream processing applications, handling out-of-order data can be a challenge which could affect the implemented business logic.
Which type of Join handles out-of-order records?
Answer: D
NEW QUESTION # 52
Which producer exceptions are examples of the class RetriableException? (Choose 2.)
Answer: A,B
NEW QUESTION # 53
......
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