Question 1

What does OLAP stand for in the context of data visualization technology?

Accepted Answer

Online Analytical Processing

Answer

Offline Analytical Processing

Answer

Online Access to Data

Answer

Online Application Processing

Question 2

Which of the following is a primary benefit of using OLAP for data visualization?

Accepted Answer

Fast and interactive data analysis

Answer

Data encryption

Answer

High storage capacity

Answer

Simple data entry

Question 3

In OLAP, what is a 'dimension'?

Accepted Answer

A perspective or attribute used to analyze data

Answer

A software tool for data entry

Answer

A type of database

Answer

A data processing technique

Question 4

What is an example of a common OLAP operation?

Accepted Answer

Drill-down

Answer

Sorting

Answer

Data replication

Answer

Data entry

Question 5

Which type of OLAP is based on multidimensional database technology?

Accepted Answer

MOLAP

Answer

HOLAP

Answer

DOLAP

Answer

ROLAP

Question 6

What kind of data structure does OLAP commonly use to organize data for analysis?

Accepted Answer

Data cubes

Answer

Flat files

Answer

Relational tables

Answer

Hierarchical trees

Question 7

What is a key feature of OLAP systems that enhances user experience?

Accepted Answer

Ad-hoc reporting

Answer

Query optimization

Answer

Batch processing

Answer

Data warehousing

Question 8

Which of the following can OLAP tools typically provide?

Accepted Answer

Multidimensional analysis

Answer

Data encryption

Answer

Basic spreadsheet functions

Answer

Real-time transaction processing

Question 9

In OLAP, what does the term 'slicing' refer to?

Accepted Answer

Creating a subset of the data for analysis

Answer

Sorting the entire data set

Answer

Archiving data for future use

Answer

Aggregating data from multiple sources

Question 10

What is the primary purpose of OLAP in business intelligence?

Accepted Answer

To facilitate complex data analysis and reporting

Answer

To manage database transactions

Answer

To store large volumes of raw data

Answer

To create user interfaces

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