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Datawarehouse

Total questions: 13

Worksheet time: 10mins

Name
Class
Date
1.

What is the primary purpose of a data warehouse?

a)

To process real-time transactions

b)

To store unstructured data for archival purposes

c)

To enable business intelligence and analytics

d)

To act as a temporary storage for data before it is loaded into an operational database

2.

Which of the following describes the 'Extract' stage in the ETL process?

a)

Loading data into the target data warehouse

b)

Cleaning and transforming data to fit the target schema

c)

Copying data from source systems

d)

Creating a star schema for the data model

3.

What is a data mart?

a)

A small, subject-oriented data warehouse

b)

A system used for operational data entry

c)

A large-scale, enterprise-wide data warehouse

d)

A tool used for data visualization

4.

Which of the following is a characteristic of a data warehouse?

a)

Volatile

b)

Subject-oriented

c)

Real-time updates

d)

Normalized schema

5.

What is the primary difference between a data warehouse and an operational database (OLTP)?

a)

Operational databases support historical analysis, while data warehouses support real-time transactions.

b)

Data warehouses are designed for fast queries and analysis, while operational databases are designed for fast transaction processing.

c)

Operational databases contain integrated data from multiple sources, while data warehouses do not.

d)

Data warehouses are always smaller than operational databases.

6.

What does OLAP stand for?

a)

Online Latent Analytics Processing

b)

Online Ledger and Accounting Platform

c)

Online Link and Association Protocol

d)

Online Analytical Processing

7.

Which of the following describes the 'L' in the ETL process?

a)

Logging errors during data transformation.

b)

Loading the transformed data into the data warehouse.

c)

Linking different dimension tables together.

d)

Learning new insights from the data.

8.

Which characteristic refers to a data warehouse's focus on a specific business topic, such as sales or customers, rather than on the day-to-day operations?

a)

Integrated

b)

Non-volatile

c)

Subject-oriented

d)

Time-variant

9.

The ability of a data warehouse to store and provide historical data over a long period, allowing for trend analysis, is known as being:

a)

Time-variant

b)

Non-volatile

c)

Integrated

d)

Subject-oriented

10.

Which characteristic ensures that data, once loaded, is never changed or deleted, only added to?

a)

Time-variant

b)

Integrated

c)

Subject-oriented

d)

Non-volatile

11.

The fact that a data warehouse unifies data from multiple, disparate sources (e.g., sales, inventory, and customer systems) into a single, consistent format is an example of what characteristic?

a)

Non-volatile

b)

Subject-oriented

c)

Integrated

d)

Time-variant

12.

When a company adds sales data for the current month to its data warehouse, without deleting the data from previous months, it is demonstrating which two key characteristics?

a)

Subject-oriented and Non-volatile

b)

Integrated and Time-variant

c)

Time-variant and Non-volatile

d)

Subject-oriented and Integrated

13.

A data warehouse contains historical sales information from a company’s different product lines, with data from different stores and regions combined into a single view. This demonstrates which two characteristics?

a)

Time-variant and Non-volatile

b)

Subject-oriented and Integrated

c)

Integrated and Time-variant

d)

Non-volatile and Subject-oriented