2.3 Extracting information

What question should be asked regarding data processing?

• How colorful is the data?

• How much information can we get?

• How old is the data?

• How fast can we delete the data?

When working with data sets in a system, why is scalability important?

• Scalability ensures that a system can handle increasing or decreasing amounts of data without requiring fundamental changes.

• A scalable system requires constant manual intervention to adjust for data growth.

• Scalability eliminates the need for additional resources, such as servers or access points, as data grows.

• A non-scalable system is always better because it maintains a fixed structure regardless of data size.

What determines the effectiveness of data processing?

• The power of the computer

• The number of users

• The type of data

• The location of servers

Why is it important to be careful when modifying or deleting data?

• To save time

• To ensure there is a mistake

• To avoid unnecessary changes

• To make data more complex

What might need to be done to invalid data?

• It should be ignored

• It may need to be modified

• It should be shared

• It should be visualized

What is the purpose of keeping records of data modifications?

• To increase data size

• To understand what changes were made and why

• To make data more complex

• To share with others

What is one of the key benefits of cleaning data?

• It helps flag or remove invalid and incomplete data.

• It increases the amount of raw, unstructured data.
  
  

• It introduces inconsistencies into the dataset.

• It prevents data from being processed efficiently.

Which of the following is an example of data bias?

• A survey about job satisfaction that only includes responses from senior employees.

• A dataset that includes all age groups and demographics equally.

• A study where participants are randomly selected from a diverse population.

• A survey that asks neutral and unbiased questions.

Which of the following is an example of metadata?

• A research paper's text and figures.

• The author, file size, and date of creation of a document.

• The main content of a book.

• A dataset containing customer sales records.

Which of the following types of information is not considered metadata?

• File format and size.

• The name of the document’s author

• The main content of an email.

• The date a file was last modified.