1. What is Apache Kafka?
a) A distributed messaging system
b) An open-source database
c) A programming language
d) A web server
Answer: a) A distributed messaging system
2. Which programming language is commonly used to interact with Kafka?
a) Java
b) Python
c) C#
d) All of the above
Answer: d) All of the above
3. What is a Kafka topic?
a) A category or feed name to which messages are published
b) A unique identifier for a Kafka cluster
c) A specific type of Kafka message
d) A unit of data storage in Kafka
Answer: a) A category or feed name to which messages are published
4. Which one of the following is not a component of Kafka?
a) Producer
b) Consumer
c) Stream
d) Broker
Answer: c) Stream
5. How are messages stored in Kafka?
a) In-memory only
b) On disk only
c) Both in-memory and on disk
d) In a separate database
Answer: c) Both in-memory and on disk
6. What is the role of a Kafka producer?
a) Publishes messages to Kafka topics
b) Subscribes to Kafka topics and consumes messages
c) Manages the Kafka cluster
d) Stores messages in a database
Answer: a) Publishes messages to Kafka topics
7. Which Kafka component is responsible for storing and replicating the message logs?
a) Producer
b) Consumer
c) Broker
d) Connector
Answer: c) Broker
8. Which one of the following is not a guarantee provided by Kafka?
a) At-most-once delivery
b) At-least-once delivery
c) Exactly-once delivery
d) Once-in-a-lifetime delivery
Answer: d) Once-in-a-lifetime delivery
9. What is a Kafka consumer group?
a) A set of Kafka brokers
b) A logical grouping of consumers that work together to consume a Kafka topic
c) A type of Kafka message
d) A data structure used for storing messages in Kafka
Answer: b) A logical grouping of consumers that work together to consume a Kafka topic
10. Which Kafka protocol is used for inter-broker communication?
a) HTTP
b) TCP/IP
c) REST
d) Kafka protocol
Answer: b) TCP/IP
11. What is the default storage retention period for Kafka messages?
a) 24 hours
b) 7 days
c) 30 days
d) Messages are retained indefinitely
Answer: d) Messages are retained indefinitely
12. Which one of the following is not a type of Kafka message delivery semantics?
a) At-most-once
b) At-least-once
c) Exactly-once
d) Best-effort
Answer: d) Best-effort
13. What is the role of a Kafka partition?
a) It is a separate Kafka cluster
b) It is a logical unit of ordered messages within a Kafka topic
c) It is a consumer group that consumes messages from a Kafka topic
d) It is a type of Kafka message
Answer: b) It is a logical unit of ordered messages within a Kafka topic
14. Which one of the following is not a supported Kafka client
API?
a) Java
b) Python
c) C++
d) Ruby
Answer: d) Ruby
15. Which Kafka component manages the assignment of partitions to consumer instances in a consumer group?
a) Producer
b) Consumer
c) Broker
d) Coordinator
Answer: d) Coordinator
16. What is the purpose of Kafka Connect?
a) It enables integration between Kafka and external systems
b) It provides real-time analytics on Kafka data
c) It allows for distributed stream processing in Kafka
d) It is a visualization tool for Kafka topics
Answer: a) It enables integration between Kafka and external systems
17. Which one of the following is not a commonly used serialization format in Kafka?
a) JSON
b) Avro
c) XML
d) Protocol Buffers
Answer: c) XML
18. Which Kafka configuration property determines the maximum size of a message that can be sent to Kafka?
a) max.message.bytes
b) max.request.size
c) max.partition.bytes
d) max.network.bytes
Answer: b) max.request.size
19. How can Kafka ensure fault-tolerance and high availability?
a) Through data replication across multiple brokers
b) Through regular data backups
c) Through message compression techniques
d) Through load balancing algorithms
Answer: a) Through data replication across multiple brokers
20. What is the purpose of Kafka Streams?
a) It is a streaming data processing library in Kafka for building real-time applications
b) It is a database engine for storing Kafka messages
c) It is a visualization tool for Kafka topics
d) It is a monitoring tool for Kafka clusters
Answer: a) It is a streaming data processing library in Kafka for building real-time applications
21. How can Kafka handle data ingestion from legacy systems that do not support Kafka natively?
a) Through Kafka Connect and custom connectors
b) By migrating the legacy systems to Kafka
c) By using REST APIs for data ingestion
d) By converting legacy data to Avro format
Answer: a) Through Kafka Connect and custom connectors
22. What is the purpose of the Kafka schema registry?
a) It stores and manages schemas for Kafka messages in a centralized location
b) It validates the syntax of Kafka configuration files
c) It monitors the performance of Kafka brokers
d) It provides authentication and authorization for Kafka clients
Answer: a) It stores and manages schemas for Kafka messages in a centralized location
23. Which Kafka tool is commonly used for monitoring and managing Kafka clusters?
a) Kafka Connect
b) Kafka Streams
c) Kafka Manager
d) Kafka Consumer
Answer: c) Kafka Manager
24. What is the purpose of Kafka Streams' windowed operations?
a) To filter messages based on a specific time window
b) To aggregate and process messages within a specified time window
c) To perform encryption and decryption of Kafka messages
d) To modify the structure of Kafka topics
Answer: b) To aggregate and process messages within a specified time window
25. How can a Kafka consumer keep track of the messages it has already consumed?
a) By maintaining an offset that represents the position of the consumer in the topic partition
b) By relying on the timestamp of the messages
c) By using a distributed database to store consumed messages
d) By periodically re-consuming all the messages from the beginning
Answer: a) By maintaining an offset that represents the position of the consumer
in the topic partition
26. Which one of the following is not a method for Kafka message delivery?
a) Push
b) Pull
c) Publish/Subscribe
d) Query/Response
Answer: d) Query/Response
27. What is the purpose of a Kafka offset commit?
a) It allows a consumer to commit the offsets of messages it has consumed
b) It ensures that every Kafka message is committed to disk
c) It triggers the replication of messages across Kafka brokers
d) It controls the order in which messages are produced to Kafka topics
Answer: a) It allows a consumer to commit the offsets of messages it has consumed
28. Which Kafka configuration property determines the number of replicas for each partition?
a) replication.factor
b) partition.replicas
c) replicas.per.partition
d) partition.factor
Answer: a) replication.factor
29. What is the purpose of the Apache ZooKeeper service in Kafka?
a) It manages the coordination and synchronization of Kafka brokers
b) It stores and manages Kafka topic metadata
c) It performs real-time analytics on Kafka data
d) It provides authentication and authorization for Kafka clients
Answer: a) It manages the coordination and synchronization of Kafka brokers
30. Which one of the following is not a messaging pattern supported by Kafka?
a) Point-to-Point
b) Publish/Subscribe
c) Request/Reply
d) Event Sourcing
Answer: d) Event Sourcing
31. What is the purpose of Kafka Streams' state stores?
a) To persist intermediate results during stream processing
b) To store the historical data of Kafka topics
c) To manage the metadata of Kafka brokers
d) To maintain the offsets of consumed messages
Answer: a) To persist intermediate results during stream processing
32. Which Kafka component is responsible for coordinating the rebalance process in a consumer group?
a) Producer
b) Consumer
c) Broker
d) Coordinator
Answer: d) Coordinator
33. How can a Kafka consumer handle processing failures without losing data?
a) By committing offsets at regular intervals
b) By using Kafka Streams' fault-tolerance mechanisms
c) By storing consumed messages in a database before processing
d) By re-consuming messages from the beginning on failure
Answer: a) By committing offsets at regular intervals
34. Which one of the following is not a supported message format in Kafka?
a) Avro
b) JSON
c) XML
d) Protocol Buffers
Answer: c) XML
35. What is the purpose of Kafka's log compaction feature?
a) To remove old messages from Kafka topics to conserve disk space
b) To compress Kafka messages for efficient storage
c) To ensure exactly-once message delivery
d) To replicate Kafka message logs across multiple brokers
Answer: a) To remove old messages from Kafka topics to conserve disk space
36. How can Kafka guarantee message ordering within a partition?
a) By assigning a timestamp to each message
b) By enforcing strict message delivery semantics
c) By using a globally synchronized clock across all brokers
d) By maintaining the order of message appends to the partition log
Answer: d) By maintaining the order of message appends to the partition log
37. Which Kafka tool is commonly used for stream processing and building event-driven applications?
a) Kafka Connect
b) Kafka Streams
c) Kafka Manager
d) Kafka Consumer
Answer: b) Kafka Streams
38. How does Kafka handle the scalability of message consumption?
a) By distributing partitions across multiple consumer instances
b) By limiting the number of messages produced to a topic
c) By introducing a delay between message consumption
d) By compressing messages to reduce network traffic
Answer: a) By distributing partitions across multiple consumer instances
39. What is the purpose of Kafka's log retention policy?
a) To define the maximum size of a Kafka message
b) To specify the duration for which Kafka messages are retained
c) To control the replication factor of Kafka message logs
d) To define the maximum number of partitions in a Kafka topic
Answer: b) To specify the duration for which Kafka messages are retained
40. Which Kafka component is responsible for managing consumer group offsets?
a) Producer
b) Consumer
c) Broker
d) Coordinator
Answer: d) Coordinator
41. What is the purpose of Kafka's message key?
a) To provide additional metadata about the message
b) To control the order in which messages are consumed
c) To enable partitioning of messages within a topic
d) To encrypt the message payload
Answer: c) To enable partitioning of messages within a topic
42. Which Kafka feature allows for the decoupling of message producers and consumers?
a) Kafka Streams
b) Kafka Connect
c) Kafka Connectors
d) Kafka topics
Answer: d) Kafka topics
43. How can a Kafka consumer handle changes in the structure of consumed messages?
a) By using a schema registry to ensure compatibility
b) By reprocessing all the messages from the beginning
c) By transforming the messages before processing
d) By filtering out messages with different structures
Answer: a) By using a schema registry to ensure compatibility
44. Which one of the following is not a commonly used Kafka deployment architecture?
a) Single broker
b) Multi-broker with replication
c) Star topology
d) Cluster with multiple consumer groups
Answer: c) Star topology
45. What is the purpose of Kafka's message compression feature?
a) To reduce network bandwidth usage
b) To ensure message durability
c) To encrypt Kafka messages
d) To enforce message ordering
Answer: a) To reduce network bandwidth usage
46. How does Kafka handle data partitioning across multiple brokers?
a) By hashing the message key to determine the partition
b) By random assignment of messages to partitions
c) By using a round-robin algorithm for partition assignment
d) By relying on the Kafka coordinator to manage partitioning
Answer: a) By hashing the message key to determine the partition
47. Which one of the following is not a commonly used Kafka client library?
a) Apache Kafka for Java
b) Confluent Kafka for Python
c) Spring Kafka for Java
d) KafkaJS for JavaScript
Answer: b) Confluent Kafka for Python
48. What is the purpose of Kafka's log compaction feature?
a) To remove duplicate messages from Kafka topics
b) To compact Kafka message logs for efficient storage
c) To compress Kafka messages for faster processing
d) To retain the latest message for each key in a Kafka topic
Answer: d) To retain the latest message for each key in a Kafka topic
49. How does Kafka ensure fault-tolerance and high availability?
a) By replicating messages across multiple brokers
b) By compressing messages to reduce storage requirements
c) By introducing message acknowledgments for reliable delivery
d) By offloading message processing to Kafka Streams
Answer: a) By replicating messages across multiple brokers
50. What is the purpose of Kafka Connect?
a) To facilitate integration between Kafka and external systems
b) To perform real-time analytics on Kafka data
c) To manage and monitor Kafka consumer groups
d) To provide visualizations for Kafka topics
Answer: a) To facilitate integration between Kafka and external systems
51. How can Kafka handle data synchronization between multiple data centers?
a) By using Kafka Connectors to replicate data across clusters
b) By relying on Kafka Streams for real-time synchronization
c) By compressing data to reduce network latency
d) By periodically copying data between data centers
Answer: a) By using Kafka Connectors to replicate data across clusters
52. Which Kafka component is responsible for managing topic metadata?
a) Producer
b) Consumer
c) Broker
d) ZooKeeper
Answer: d) ZooKeeper
53. What is the purpose of Kafka's retention policy?
a) To control the size of Kafka message logs
b) To specify the maximum number of consumers in a group
c) To ensure exactly-once message delivery
d) To enforce message ordering within a partition
Answer: a) To control the size of Kafka message logs
54. How does Kafka handle message delivery to multiple consumers within a consumer group?
a) By load balancing the partitions across consumers
b) By sending each message to all consumers in parallel
c) By assigning a unique key to each consumer for filtering
d) By introducing a delay between message consumption
Answer: a) By load balancing the partitions across consumers
55. Which one of the following is not a Kafka message serialization format?
a) Avro
b) JSON
c) XML
d) Protocol Buffers
Answer: c) XML
56. What is the purpose of Kafka Streams' windowed operations?
a) To group messages based on a specific time window
b) To encrypt and decrypt Kafka messages
c) To modify the structure of Kafka topics
d) To ensure exactly-once message processing
Answer: a) To group messages based on a specific time window
57. How does Kafka ensure message durability?
a) By replicating messages across multiple brokers
b) By compressing messages for efficient storage
c) By using a distributed file system for data persistence
d) By enforcing strict message delivery semantics
Answer: a) By replicating messages across multiple brokers
58. What is the purpose of Kafka Connectors?
a) To integrate Kafka with external data sources and sinks
b) To process real-time analytics on Kafka data
c) To manage and monitor Kafka brokers
d) To visualize Kafka topics and consumer groups
Answer: a) To integrate Kafka with external data sources and sinks
59. Which Kafka component is responsible for message persistence and replication?
a) Producer
b) Consumer
c) Broker
d) ZooKeeper
Answer: c) Broker
60. What is the purpose of Kafka's log compaction feature?
a) To remove old messages from Kafka topics
b) To compress Kafka messages for efficient storage
c) To ensure exactly-once message delivery
d) To retain the latest message for each key in a Kafka topic
Answer: d) To retain the latest message for each key in a Kafka topic
61. How can Kafka ensure data integrity and fault tolerance in the presence of failures?
a) By replicating messages across multiple brokers
b) By compressing messages to reduce network traffic
c) By introducing message acknowledgments for reliable delivery
d) By enforcing strict ordering of messages within a partition
Answer: a) By replicating messages across multiple brokers
62. What is the purpose of Kafka's log compaction feature?
a) To remove duplicate messages from Kafka topics
b) To compact Kafka message logs for efficient storage
c) To compress Kafka messages for faster processing
d) To retain the latest message for each key in a Kafka topic
Answer: d) To retain the latest message for each key in a Kafka topic
63. How can a Kafka consumer handle changes in the structure of consumed messages?
a) By using a schema registry to ensure compatibility
b) By reprocessing all the messages from the beginning
c) By transforming the messages before processing
d) By filtering out messages with different structures
Answer: a) By using a schema registry to ensure compatibility
64. Which one of the following is not a commonly used Kafka deployment architecture?
a) Single broker
b) Multi-broker with replication
c) Star topology
d) Cluster with multiple consumer groups
Answer: c) Star topology
65. What is the purpose of Kafka's message compression feature?
a) To reduce network bandwidth usage
b) To ensure message durability
c) To encrypt Kafka messages
d) To enforce message ordering
Answer: a) To reduce network bandwidth usage
66. How does Kafka handle data partitioning across multiple brokers?
a) By hashing the message key to determine the partition
b) By random assignment of messages to partitions
c) By using a round-robin algorithm for partition assignment
d) By relying on the Kafka coordinator to manage partitioning
Answer: a) By hashing the message key to determine the partition
67. Which one of the following is not a commonly used Kafka client library?
a) Apache Kafka for Java
b) Confluent Kafka for Python
c) Spring Kafka for Java
d) KafkaJS for JavaScript
Answer: b) Confluent Kafka for Python
68. What is the purpose of Kafka's log compaction feature?
a) To remove duplicate messages from Kafka topics
b) To compact Kafka message logs for efficient storage
c) To compress Kafka messages for faster processing
d) To retain the latest message for each key in a Kafka topic
Answer: d) To retain the latest message for each key in a Kafka topic
69. How does Kafka ensure fault-tolerance and high availability?
a) By replicating messages across multiple brokers
b) By compressing messages to reduce storage requirements
c) By introducing message acknowledgments for reliable delivery
d) By offloading message processing to Kafka Streams
Answer: a) By replicating messages across multiple brokers
70. What is the purpose of Kafka Connect?
a) To facilitate integration between Kafka and external systems
b) To perform real-time analytics on Kafka data
c) To manage and monitor Kafka consumer groups
d) To provide visualizations for Kafka topics
Answer: a) To facilitate integration between Kafka and external systems
71. How can Kafka handle data synchronization between multiple data centers?
a) By using Kafka Connectors to replicate data across clusters
b) By relying on Kafka Streams for real-time synchronization
c) By compressing data to reduce network latency
d) By periodically copying data between data centers
Answer: a) By using Kafka Connectors to replicate data across clusters
72. Which Kafka component is responsible for managing topic metadata?
a) Producer
b) Consumer
c) Broker
d) ZooKeeper
Answer: d) ZooKeeper
73. What is the purpose of Kafka's retention policy?
a) To control the size of Kafka message logs
b) To specify the maximum number of consumers in a group
c) To ensure exactly-once message delivery
d) To enforce message ordering within a partition
Answer: a) To control the size of Kafka message logs
74. How does Kafka handle message delivery to multiple consumers within a consumer group?
a) By load balancing the partitions across consumers
b) By sending each message to all consumers in parallel
c) By assigning a unique key to each consumer for filtering
d) By introducing a delay between message consumption
Answer: a) By load balancing the partitions across consumers
75. Which one of the following is not a Kafka message serialization format?
a) Avro
b) JSON
c) XML
d) Protocol Buffers
Answer: c) XML
76. What is the purpose of Kafka Streams' windowed operations?
a) To group messages based on a specific time window
b) To encrypt and decrypt Kafka messages
c) To modify the structure of Kafka topics
d) To ensure exactly-once message processing
Answer: a) To group messages based on a specific time window
77. How does Kafka ensure message durability?
a) By replicating messages across multiple brokers
b) By compressing messages for efficient storage
c) By using a distributed file system for data persistence
d) By enforcing strict message delivery semantics
Answer: a) By replicating messages across multiple brokers
78. What is the purpose of Kafka Connectors?
a) To integrate Kafka with external data sources and sinks
b) To process real-time analytics on Kafka data
c) To manage and monitor Kafka brokers
d) To visualize Kafka topics and consumer groups
Answer: a) To integrate Kafka with external data sources and sinks
79. Which Kafka component is responsible for message persistence and replication?
a) Producer
b) Consumer
c) Broker
d) ZooKeeper
Answer: c) Broker
80. What is the purpose of Kafka's log compaction feature?
a) To remove old messages from Kafka topics
b) To compress Kafka messages for efficient storage
c) To ensure exactly-once message delivery
d) To retain the latest message for each key in a Kafka topic
Answer: d) To retain the latest message for each key in a Kafka topic
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