Simplifying data pipelines with Apache Kafka Cognitive Class Exam Answers:-

Related Articles

Data Analysis with Python Cognitive Class Exam Answers:-

January 25, 2022

Data Science Tools Cognitive Class Exam Answers:-

January 25, 2022

Node-RED: basics to bots Cognitive Class Exam Answers:-

January 24, 2022

Course Name:- Simplifying data pipelines with Apache Kafka

Modules 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

Modules 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

Simplifying data pipelines with Apache Kafka Cognitive Class Final Exam Answers:-

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.)

Question 6. Kafka Consumer is thread safe, as it can give each thread its own consumer instance

• True
• False

Question 7. What other open source producers can be used to code producer logic?

• Java
• Python
• C++
• All of the above

Question 8. 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 9. Kafka has a cluster-centric design which offers strong durability and fault-tolerance guarantees.

• True
• False

Question 10. Which of the following values of ack will not wait for any acknowledgement from the server?

• all
• 0
• 1
• -1

Question 11. A Kafka cluster is comprised of one or more servers which are called “Producers”

• True
• False

Question 12.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  13. In many use cases, you see Kafka used to feed streaming data into Spark Streaming

• True
• False

Question 14. All Kafka Connect sources and sinks map to united streams of records

• True
• False

Question 15. Which is false about the Kafka Producer send method?

• The send method returns a Future for the Record Metadata 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