12ENC - 2.0.* - 55 MCQ's

What is one key purpose of data visualisation?

• To simplify understanding of complex data
• To reduce file size
• To replace databases
• To eliminate human input

Answer explanation

Explain the purposes of data visualisation (1.1.0)

How does data visualisation simplify understanding?

• By turning complex data into visual formats
• By hiding data from users
• By encrypting the data
• By reducing data accuracy

Answer explanation

simplifying understanding (1.1.1)

Which statement best describes 'telling a story' in data visualisation?

• Using animations to entertain viewers
• Using fictional information for training
• Presenting data in a logical and engaging sequence
• Hiding complex trends

Answer explanation

telling a story (1.1.2)

How can data visualisation highlight significant results?

• By shortening reports
• By showing trends, spikes, and patterns visually
• By removing less important data
• By simplifying colours

Answer explanation

highlighting significant results (1.1.3)

What is a benefit of combining spreadsheet and design applications for data visualisation?

• They allow creative and analytical insights together
• They reduce the need for storage
• They delete outdated data
• They encrypt data automatically

Answer explanation

Describe how software features contribute to understanding datasets (1.2.0)

How can data visualisation help address social or ethical issues?

• By restricting data access
• By replacing ethical discussions
• By highlighting trends in public opinion or behavior
• By masking poor outcomes

Answer explanation

Identify patterns in data for an enterprise, social or ethical issue (1.3.0)

How does increased processing power affect data analytics?

• It enables faster and more complex analysis
• It increases data inaccuracy
• It slows down data transfer
• It limits data storage

Answer explanation

Investigate the impact of evolving hardware and software on data analytics (1.4.0)

Why is communication media important in data analytics?

• It affects the transfer speed and accessibility of data
• It hides trends in data
• It reduces data complexity
• It decreases storage needs

Answer explanation

communication media (1.4.2)

What is the purpose of Online Analytical Processing (OLAP)?

• To visualise animations
• To allow multi-dimensional analysis of complex data
• To delete redundant data
• To replace databases

Answer explanation

Describe online analytical processing (OLAP) (1.5.0)

Why is data integrity important in data visualisation?

• It makes data easier to delete
• It speeds up visual rendering
• It adds more filters
• It ensures accuracy and trustworthiness of visualised information

Answer explanation

Assess data integrity in the development of a data visualisation (1.6.0)