Data Processing Data Processing MCQ 2

Question 1

Which data processing technique involves combining data from multiple sources into a unified dataset?

Accepted Answer

Data integration

Answer

Data integration merges data from disparate sources into a single coherent dataset for analysis.

Question 2

In ETL pipelines, what does the 'T' step primarily involve?

Accepted Answer

Transforming data into the target format

Answer

The Transform step in ETL converts raw extracted data into the format required by the destination system.

Question 3

What is a 'data pipeline' in the context of data processing?

Accepted Answer

A series of automated steps that move and transform data from source to destination

Answer

A data pipeline is an automated sequence of processes that ingests, processes, and delivers data to a target system.

Question 4

Which of the following best describes 'data deduplication'?

Accepted Answer

Identifying and removing redundant copies of data

Answer

Data deduplication eliminates redundant copies of data to reduce storage usage and improve data quality.

Question 5

What is the purpose of data profiling in a data processing workflow?

Accepted Answer

Analyzing data to understand its structure, content, and quality

Answer

Data profiling examines datasets to assess quality, identify anomalies, and understand structural characteristics.

Data Processing Practice Test