Hello Learners, Today, we are going to share Simplifying data pipelines with Apache Kafka Cognitive Class Course Exam Answer launched by IBM. This certification course is totally free of cost✅✅✅ for you and available on Cognitive Class platform.
Here, you will find Simplifying data pipelines with Apache Kafka Exam Answers in Bold Color which are given below.
These answers are updated recently and are 100% correct✅ answers of all modules and final exam answers of Simplifying data pipelines with Apache Kafka from Cognitive Class Certification Course.
Course Name | Simplifying data pipelines with Apache Kafka |
Organization | IBM |
Skill | Online Education |
Level | Beginner |
Language | English |
Price | Free |
Certificate | Yes |
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Simplifying data pipelines with Apache Kafka Cognitive Class Course Exam Answer
Module 1: Introduction to Apache Kafka
Question 1 :Which of the following are a Kafka use case?
- Messaging
- All of the above
- Stream Processing
- Website Activity Tracking
- Log Aggregation
Question 2 : A Kafka cluster is comprised of one or more servers which are called “producers”
- True
- False
Question 3 : Kafka requires Apache ZooKeeper
- True
- False
Module 2: Kafka Command Line
Question 1 :There are two ways to create a topic in Kafka, by enabling the auto.create.topics.enable property and by using the kafka-topics.sh script.
- True
- False
Question 2 :Which of the following is NOT returned when –describe is passed to kafka-topics.sh?
- Configs
- None of the Above
- PartitionNumber
- ReplicationFactor
- Topic
Question 3 :Topic deletion is disabled by default.
- True
- False
Module 3: Kafka Producer Java API
Question 1 :The setting of ack that provides the strongest guarantee is ack=1
- True
- False
Question 2 :The KafkaProducer is the client that publishes records to the Kafka cluster.
- True
- False
Question 3 : Which of the following is not a Producer configuration setting?
- batch.size
- linger.ms
- key.serializer
- retries
- None of the above
Module 4: Kafka Consumer Java API
Question 1 :The Kafka consumer handles various things behind the scenes, such as:
- Failures of servers in the Kafka cluster
- Adapts as partitions of data it fetches migrates within the cluster
- Data management and storage into databases
- and b) only
- All of the Above
Question 2 : If enable.auto.commit is set to false, then committing offsets is done manually, which provides gives you more control.
- True
- False
Question 3 : Rebalancing is a process where group of consumer instances within a consumer group, coordinate to own mutally shared sets of partitions of topics that the groups are subscribed to.
- True
- False
Module 5: Kafka Connect and Spark Streaming
Question 1 :Which of the following are Kafka Connect features?
A common framework for Kafka connectors
- Automatic offset management
- REST interface
- Streaming/batch integration
- All of the above
Question 2 :Kafka Connector has two types of worker nodes called standalone mode and centralized mode cluster
- True
- False
Question 3 : Spark periodically queries Kafka to get the latest offsets in each topic and partition that it is interested in consuming form.
- True
- False
Final Exam
Question 1: If the auto.create.topics.enable property is set to false and you try to write a topic that doesn’t yet exist, a new topic will be created.
- True
- False
Question 2: Which of the following is false about Kafka Connect?
- Kafka Connect makes building and managing stream data pipelines easier
- Kafka Connect simplifies adoption of connectors for stream data integration
- It is a framework for small scale, asynchronous stream data integration
- None of the above
Question 3: Kafka comes packaged with a command line client that you can use as a producer.
- True
- False
Question 4: Kafka Connect worker processes work autonomously to distribute work and provide scalability with fault tolerance to the system.
- True
- False
Question 5: What are the three Spark/Kafka direct approach benefits? (Place the answers in alphabetical order.)
Kafka Consumer is thread safe, as it can give each thread its own consumer instance
- True
- False
Question 6: What other open source producers can be used to code producer logic?
- Java
- Python
- C++
- All of the above
Question 7: If you set acks=1 in a Producer, it means that the leader will write the received message to the local log and respond after waiting for full acknowledgement from all of its followers.
- True
- False
Question 8: Kafka has a cluster-centric design which offers strong durability and fault-tolerance guarantees.
- True
- False
Question 9: Which of the following values of ack will not wait for any acknowledgement from the server?
- all
- 0
- 1
- -1
Question 10: A Kafka cluster is comprised of one or more servers which are called “Producers”
- True
- False
Question 11: What are In Sync Replicas?
- They are a set of replicas that are not active and are delayed behind the leader
- They are a set of replicas that are not active and are fully caught up with the leader
- They are a set of replicas that are alive and are fully caught up with the leader
- They are a set of replicas that are alive and are delayed behind the leader
Question 12: In many use cases, you see Kafka used to feed streaming data into Spark Streaming
- True
- False
Question 13: All Kafka Connect sources and sinks map to united streams of records
- True
- False
Question 14: Which is false about the KafkaProducer send method?
- The send method returns a Future for the RecordMetadata that will be assigned to a record
- All writes are asynchronous by default
- It is not possible to make asynchronous writes
- Method returns immediately once record has been stored in buffer of records waiting to be sent
Conclusion
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