Toños summary

What are the 5 V's of Big Data?

• Volume, Velocity, Variety, Veracity, Validation

• Volume, Velocity, Validity, Versatility, Value

• Volume, Velocity, Variety, Validity, Value

• Volume, Velocity, Variety, Veracity, Value

What is the main purpose of Hadoop in handling Big Data?

• To store and process huge amounts of data

• To create data visualizations

• To analyze structured data only

• To manage small datasets

What is the main advantage of Apache Spark over Hadoop MapReduce?

• Narrower processing paradigms

• Faster processing

• More complex ecosystem

• Limited adoption

What is the main purpose of Apache Kafka in a streaming data system?

• To process batch data

• To manage static datasets

• To analyze structured data

• To store streaming data with low latency ingestion

What is the core concept of a message or event in Kafka?

• A CSV file

• A structured data format

• An array of bytes

• A JSON object

What is the purpose of a schema in Kafka?

• To define the message format

• To manage the message delivery

• To store the message data

• To describe the structure of a message or event

What is the main function of a Kafka producer?

• Store the Kafka topics

• Write or publish new messages or events into Kafka

• Read or consume messages from Kafka

• Manage the Kafka brokers

What is the role of a Kafka consumer?

• Write or publish new messages into Kafka

• Store the Kafka topics

• Read or consume messages from Kafka

• Manage the Kafka brokers

What is the responsibility of a Kafka broker?

• Storing the Kafka topics, reading messages, serving messages to producers

• Receiving and organizing messages, assigning offsets, committing messages to storage, serving messages to consumers

• Managing the Kafka topics, writing new messages, consuming messages

• Receiving and organizing messages, consuming messages, serving messages to consumers, managing the Kafka topics

What is the purpose of a Kafka cluster?

• A set of brokers working together to handle large scenarios

• A distributed system for storing streaming data

• A centralized repository for managing and validating schemas

• A single machine responsible for Kafka operations