ADE ADE Cloud & Big Data Technologies 3

Question 1

What is 'data partitioning' in the context of cloud storage and big data?

Accepted Answer

Dividing data into logical segments to improve query performance and manageability

Answer

Data partitioning divides large datasets into logical segments (e.g., by date or region) so queries scan only relevant partitions, improving performance.

Question 2

In Spark, what transformation is used to combine two DataFrames based on a common key?

Accepted Answer

join()

Answer

The join() transformation in Spark combines two DataFrames on a specified key, similar to SQL JOIN operations.

Question 3

Which concept describes the ability of a cloud data system to handle growing data volumes by adding more nodes?

Accepted Answer

Horizontal scaling

Answer

Horizontal scaling (scale-out) adds more nodes to a distributed system, enabling cloud data platforms like Spark or BigQuery to handle petabyte-scale growth.

Question 4

What does HDFS stand for in the Hadoop ecosystem?

Accepted Answer

Hadoop Distributed File System

Answer

HDFS (Hadoop Distributed File System) is Hadoop's primary storage system, designed to store very large files across commodity hardware with replication.

Question 5

In a Lambda architecture, what is the role of the speed layer?

Accepted Answer

To provide low-latency real-time views of recent data

Answer

The speed layer in Lambda architecture processes real-time data streams to provide low-latency views that compensate for the batch layer's high latency.

ADE - Associate Data Engineer Certification Practice Test

ADE - Associate Data Engineer Certification Practice Test

ADE ADE Cloud & Big Data Technologies 3