Beam Basics

What does a pipeline in Apache Beam identify?

• The user interface

• The data to be processed and the actions to be taken on the data

• The database schema

• The cloud storage location

What is a P collection in Apache Beam?

• A mutable data structure

• A container for running pipelines

• An immutable distributed data structure

• A user interface component

How does a P transform function in Apache Beam?

• It changes the incoming P collection directly

• It handles input, transformation, and output of the data

• It stores the data permanently

• It visualizes the data

What are pipeline runners analogous to?

• Data centers

• User interfaces

• Container hosts

• Database schemas

Where can an Apache Beam pipeline be run?

• Only on a local computer

• Only in a virtual machine

• Only in a data center

• On a local computer, in a virtual machine, in a data center, or in a cloud service

Why is immutable data advantageous in distributed systems?

• It is more memory efficient

• It eliminates the need for access control or sharing coordination

• It requires less storage space

• It simplifies user interface design

Answer explanation

In distributed systems, data is often shared and manipulated across multiple machines.

Immutable data solves these problems by guaranteeing that data, once created, cannot be changed.