MCQs on Security and Governance | Apache Kafka MCQs Questions
When working with Apache Kafka, security and governance are critical for ensuring data integrity and privacy. These Apache Kafka MCQs Questions cover essential topics related to authentication, authorization, encryption, auditing, and compliance practices in Kafka. The questions also delve into data governance through schema registries, allowing users to enforce data consistency across producers and consumers. Whether you’re preparing for an exam or just looking to solidify your understanding of Kafka’s security mechanisms, these MCQs will help you navigate Kafka’s robust security and governance features effectively.
MCQs
1. Authentication: SSL and SASL Mechanisms
- What is the purpose of SSL/TLS in Kafka?
a) To encrypt data at rest
b) To secure communication between Kafka clients and brokers
c) To store data in a distributed way
d) To control access to topics - Which of the following is a valid SASL mechanism for Kafka?
a) SCRAM-SHA-256
b) SSL-TLS
c) Kerberos
d) Both a and c - What configuration setting in Kafka specifies the SSL keystore location?
a)ssl.keystore.location
b)ssl.key.password
c)ssl.truststore.location
d)ssl.client.auth - What does SASL stand for in Kafka?
a) Simple Authentication Security Layer
b) Secure Authentication for Streaming Logs
c) Simple Authentication and Security Layer
d) Secure Application Security Layer - Which of the following is a primary benefit of using SASL for authentication in Kafka?
a) Enhanced data compression
b) Increased throughput
c) Securing user credentials and access
d) Faster message delivery
2. Authorization: ACLs and Role-Based Access Control
- What does ACL stand for in Kafka?
a) Automated Cluster Load
b) Access Control List
c) Advanced Command Line
d) Access Communication Layer - Which Kafka component is responsible for enforcing ACLs?
a) Kafka Broker
b) Zookeeper
c) Kafka Producer
d) Kafka Consumer - In Kafka, what does an ACL define?
a) The replication factor of a topic
b) The permissions for a user on a topic
c) The maximum number of partitions per broker
d) The data retention policy for topics - How can role-based access control (RBAC) be used in Kafka?
a) To restrict consumer group membership
b) To define what actions users can perform on topics and consumer groups
c) To monitor broker performance
d) To manage producer acknowledgments - What is the default permission for a user in Kafka if no ACL is defined?
a) Write
b) Read
c) Denied
d) Admin - Which command is used to list ACLs for a Kafka topic?
a)kafka-acl list
b)kafka-topics describe
c)kafka-acl describe
d)kafka-acl show
3. Encryption of Data at Rest and In Transit
- What does encryption at rest ensure in Kafka?
a) Protection of data while in transit
b) Protection of data stored on disk
c) Encryption of message headers
d) Protection against data corruption - How can data be encrypted in transit in Kafka?
a) By using SSL/TLS
b) By using Kerberos
c) By using AES encryption
d) By setting up firewalls - Which encryption standard is commonly used for data at rest in Kafka?
a) AES (Advanced Encryption Standard)
b) RSA (Rivest-Shamir-Adleman)
c) DES (Data Encryption Standard)
d) SSL (Secure Sockets Layer) - What is the main purpose of encrypting data in transit?
a) To prevent unauthorized access to data while it is being transmitted
b) To improve message delivery times
c) To increase producer throughput
d) To reduce message sizes - Which Kafka configuration enables encryption of data at rest?
a)ssl.keystore.location
b)log.dirs
c)log.segment.bytes
d) Kafka does not provide native support for data encryption at rest - What is the default encryption method for Kafka communication?
a) AES
b) SSL/TLS
c) RSA
d) Kafka does not encrypt data by default
4. Auditing and Compliance Practices
- What is the primary purpose of auditing in Kafka?
a) To ensure message delivery is efficient
b) To track all activities related to data access and changes
c) To enhance message compression
d) To manage Kafka clusters - Which compliance regulation requires encryption of sensitive data in Kafka?
a) GDPR (General Data Protection Regulation)
b) PCI-DSS (Payment Card Industry Data Security Standard)
c) HIPAA (Health Insurance Portability and Accountability Act)
d) All of the above - Which command is used to configure audit logging in Kafka?
a)audit-log.enable=true
b)kafka-server-start
c)audit.kafka.logging
d) Kafka does not have built-in audit logging - What can be logged during Kafka auditing?
a) Consumer group activities
b) User access to topics and consumer groups
c) Changes to broker configurations
d) All of the above - Which Kafka component stores audit logs?
a) Zookeeper
b) Kafka Broker
c) Consumer
d) Kafka Producer - What is the main benefit of Kafka’s auditing features?
a) It allows for tracking and enforcing compliance requirements
b) It improves performance by reducing message size
c) It ensures low latency
d) It increases the number of partitions
5. Data Governance with Schema Registry
- What is the primary purpose of a schema registry in Kafka?
a) To manage data transformations
b) To enforce data consistency across producers and consumers
c) To store consumer offsets
d) To monitor Kafka cluster health - Which serialization format is supported by Kafka’s schema registry?
a) Avro
b) JSON
c) Parquet
d) All of the above - What does the schema registry enable in Kafka data governance?
a) Verifying schema compatibility and versioning
b) Managing consumer group offsets
c) Improving message throughput
d) Enabling data compression - How does Kafka handle schema evolution?
a) By rejecting incompatible schema changes
b) By automatically rolling back schema changes
c) By supporting backward and forward compatibility
d) By creating new topics for each schema version - Which of the following is an advantage of using Avro format with Kafka schema registry?
a) Efficient storage and transmission
b) Automatic topic creation
c) Simple to implement
d) High compression rates - How can producers validate schema before sending messages in Kafka?
a) By using the Kafka producer API
b) By calling the schema registry
c) By verifying consumer offsets
d) By using manual validation methods - What happens if a schema registered in Kafka is found to be incompatible with a message producer?
a) The producer can continue sending messages without any issues
b) The producer is rejected until a compatible schema is used
c) The broker automatically rewrites the schema
d) The consumer is notified
Answers
| QNo | Answer (Option with the text) |
|---|---|
| 1 | b) To secure communication between Kafka clients and brokers |
| 2 | d) Both a and c |
| 3 | a) ssl.keystore.location |
| 4 | c) Simple Authentication and Security Layer |
| 5 | c) Securing user credentials and access |
| 6 | b) Access Control List |
| 7 | a) Kafka Broker |
| 8 | b) The permissions for a user on a topic |
| 9 | b) To define what actions users can perform on topics and consumer groups |
| 10 | c) Denied |
| 11 | a) kafka-acl list |
| 12 | b) Protection of data stored on disk |
| 13 | a) By using SSL/TLS |
| 14 | a) AES (Advanced Encryption Standard) |
| 15 | a) To prevent unauthorized access to data while it is being transmitted |
| 16 | d) Kafka does not provide native support for data encryption at rest |
| 17 | b) SSL/TLS |
| 18 | b) To track all activities related to data access and changes |
| 19 | d) All of the above |
| 20 | d) Kafka does not have built-in audit logging |
| 21 | d) All of the above |
| 22 | b) Kafka Broker |
| 23 | a) It allows for tracking and enforcing compliance requirements |
| 24 | b) To enforce data consistency across producers and consumers |
| 25 | a) Avro |
| 26 | a) Verifying schema compatibility and versioning |
| 27 | c) By supporting backward and forward compatibility |
| 28 | a) Efficient storage and transmission |
| 29 | b) By calling the schema registry |
| 30 | b) The producer is rejected until a compatible schema is used |