Data and Information: Privacy and Protection Quiz

Why is it important to critique online services in relation to data privacy?

• To ensure your data is protected and not misused

• To make online services faster

• To increase the number of advertisements you see

• To make websites look better

What might happen to data that you enter online?

• It can be stored, shared, or used by the service provider

• It disappears immediately

• It is only visible to you

• It is automatically deleted after one day

Why is there a need for the Data Protection Act?

• To protect people's personal data from misuse

• To make internet slower

• To allow companies to sell more products

• To increase the number of online games

Why might someone launch a cyber attack according to the information provided?

• To gain access to data

• To improve internet speed

• To fix computer bugs

• To create new websites

Which of the following is a key difference you will learn about in this unit?

• The difference between data and information

• The difference between hardware and software

• The difference between websites and apps

• The difference between emails and text messages

What is the definition of data?

• Data is raw facts and figures.

• Data is processed information.

• Data is a type of computer program.

• Data is only numbers.

What makes information different from data?

• Information is created when data has been processed and becomes meaningful.

• Information is always in the form of numbers.

• Information is never used in tests.

• Information is the same as data.

Why is it important to process data into information?

• Because information is meaningful and useful for decision making.

• Because data is always incorrect.

• Because information is always a number.

• Because data cannot be stored.

What is the main reason customer data is valuable to businesses?

• To help build a profile of the customer and convert data into information.

• To increase the price of products.

• To reduce the number of customers.

• To make shopping baskets heavier.

How can businesses use the data from a customer's shopping basket?

• To build a profile of the customer.

• To delete the customer's account.

• To send random advertisements.

• To ignore the customer's preferences.