
Dell Data Engineering Optimize
Domain 5Objective 3
Describe the Apache Kafka Queueing System and Architecture DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 3)
Part of the Processing Streaming and IoT Data domain, which accounts for 20% of the DATA-ENGINEERING-OPTIMIZE exam.
21questions here
5free pages
6concepts
20%of the exam
Questions 11–15
- 11
A financial services firm is deploying a Kafka cluster to handle transaction events. They need to ensure that the system remains available even if an entire rack of servers fails, and they want to minimize the risk of data loss. The cluster currently has 6 brokers, and the topic 'transactions' is configured with a replication factor of 3. What is the minimum number of in-sync replicas (min.insync.replicas) that should be configured to achieve the stated availability and durability goals?
Select an answer first - 12
A Kafka consumer is configured with `enable.auto.commit=true` and `auto.commit.interval.ms=5000`. The consumer processes a batch of messages and then crashes before the next auto-commit. What is the likely outcome?
Select an answer first - 13
Which scenario is a typical use case for Kafka in an IoT environment?
Select an answer first - 14
A Kafka cluster has 3 brokers. A topic is created with a replication factor of 2 and 4 partitions. How many replicas will be created in total for this topic?
Select an answer first - 15
Which Kafka component is a logical container that holds messages of a specific type and is divided into partitions?
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