Data Content

What does data refer to?

• Processed and organized facts and figures
• Raw and unorganized facts and figures
• Processed and meaningful information
• The output after data has been analyzed

How is data measured?

• In bits and bytes
• In degrees Celsius
• In percentages
• In financial statements

What does information provide for data?

• Context
• Accuracy
• Organization
• Meaning

What are some examples of instruments used to collect meteorological data?

• Thermometers and barometers
• Cash flow statements and balance sheets
• Global positioning system (GPS) technologies
• Peer-reviewed journals

What is metadata?

• Data collected by a heat sensor
• Information about the positioning of an object
• A set of data that describes and gives information about other data
• The process of finding patterns and correlations within large sets of data

What is data mining?

• Comparing two different sets of data
• Storing and protecting data with security measures
• The process of converting readable data into unreadable characters
• Finding patterns and correlations within large sets of data

What is the purpose of data validation?

• To convert data into a more visually appealing format
• To ensure only valid and suitable data can be entered
• Processed and meaningful information
• To prevent unauthorized access to data

What is the difference between data erasure and data deletion?

• Data erasure is physical destruction of data, while data deletion is removing files to the recycle bin.
• Data erasure is removing files to the recycle bin, while data deletion is physical destruction of data.
• Data erasure is preserving data for future use, while data deletion is removing files to the recycle bin.
• Data erasure is the destruction of data at the end of the data life cycle, while data deletion is removing files to the recycle bin.

What does blockchain refer to?

• Data privacy and control
• A digital ledger of transactions distributed across a network of computers
• Large volumes of data that may be structured or unstructured
• Legislation designed to harmonize data privacy laws

What are the four characteristics of big data?

• Volume, velocity, variety, and veracity
• Privacy, reliability, integrity, and GDPR
• Data mining, data matching, data erasure, and encryption
• Financial data, medical data, meteorological data, and location data