11. Data analysts use archiving to separate current from past work. It also cuts down on clutter.
- True
- False
12. Fill in the blank: Data analysts create _____ to structure their folders.
- scales
- sequences
- ladders
- hierarchies
13. A data analyst wants to ensure only people on their analytics team can access, edit, and download a spreadsheet. They can use which of the following tools? Select all that apply.
- Sharing permissions
- Templates
- Filtering
- Encryption
14. A data analyst wants to share spreadsheet tab A with their team. They’re still working with tabs B and C, and they don’t want their team members to access them yet. Hiding tabs B and C will protect them from being accessed.
- True
- False
15. A data analytics team labels its files to indicate their content, creation date, and version number. The team is using what data organization tool?
- File-naming verifications
- File-naming conventions
- File-naming attributes
- File-naming references
16. To align file naming and storage practices, it’s useful to develop metadata practices with your data analytics team.
- True
- False
17. What process do data analysts use to keep project-related files together and organize them into subfolders?
- Foldering
- Encrypting
- Editing
- Naming
18. A data analyst completes a project. They move project files to another location to keep them separate from their current work. This is an example of what process?
- Renaming files
- Archiving files
- Destroying files
- Duplicating files
Shuffle Q/A 2
19. A data analyst adds sharing permissions to limit who can edit the data contained within a file. This is an example of what?
- Data validation
- Data integrity
- Data security
- Data ethics
20. What aspects of a file do file-naming conventions typically describe? Select all that apply.
- Creation date
- Content
- Version number
- Collaborators
