ESPs are a middle layer between multiple event sources and destinations. ESPs may have different architectures and components but also some common components. Which of the following common components receives and consumes events?

Correct, this is the core component of an ESP that receives and consumes events.

The core component of any ESP is the event broker. Which event broker sub-component performs encryption on data?

Correct, the processor performs operations on data like serializing, compressing, and encryption.

The Kafka server side is a cluster with many associated servers. What are the associated servers called?

Correct, Kafka associated servers are called brokers that act as the event broker.

Which of the following Kafka main features provides consumption without a deadline?

Correct, Kafka stores events permanently so consumers can access streaming events at any time.

Which of the following Kafka core components publish events into topics?

Correct, these are client applications that publish events into topics.

Which of the Kafka CLI script files manages topics?

Correct, this CLI manages topics.

Which of the following is Kafka Streams API based on?

Correct, the Streams API is based on a computational graph called a stream-processing topology.

Which of the following do stream processors do?

Correct, stream processors receive, transform, and forward the streams.

Kafka Streams API is based on a computational graph called a stream processing topology. And in the topology, each node is a stream processor, while edges are the I/O streams. In this topology we find two special types of processors: What are they called?

Correct, there are two special types of processors in the topology: The source processor and the sink processor.

Once events are published and properly stored in topic partitions, you can create _________ to read them.

Correct, once events are published and properly stored in topic partitions, you can create consumers to read them.

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ETL and Data Pipelines with Shell, Airflow and Kafka

Home » Courses » ETL and Data Pipelines with Shell, Airflow and Kafka

Graded Quiz: Using Apache Kafka to build Pipelines for Streaming Data

10 Questions Week 4

Graded Quiz: Using Apache Airflow to build Data Pipelines

10 Questions Week 3

ETL and Data Pipelines with Shell, Airflow and Kafka

Graded Quiz: An Introduction to Data Pipelines

10 Questions Week 2

ETL and Data Pipelines with Shell, Airflow and Kafka

Graded Quiz: ETL using Shell Scripts

10 Questions Week 2

ETL and Data Pipelines with Shell, Airflow and Kafka

Graded Quiz: ETL and ELT Processes

10 Questions Week 1

ETL and Data Pipelines with Shell, Airflow and Kafka

Final Quiz

20 Questions Week 5

ETL and Data Pipelines with Shell, Airflow and Kafka

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