Module 4: Organize and protect data
Looking answers for ‘prepare data for exploration module 4 challenge’?
In this post, I provide accurate answers and detailed explanations for Module 4: Organize and protect data of Course 3: Prepare Data for Exploration – Google Data Analytics Professional Certificate.
Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.
1. Fill in the blank: File-naming conventions are _____ that describe a file's content, creation date, or version.
- general attributes
- frequent suggestions
- consistent guidelines
- common verifications
2. A data analytics team uses data about data to indicate consistent naming conventions for a project. What type of data is involved in this scenario?
- Metadata
- Aggregated data
- Long data
- Big data
3. Data analysts use naming conventions to help them identify or locate a file. Which of the following is an example of an effective file name?
- Elementary_Students_20090221_V03
- Sept_ElemtaryStudents_V1
- ElementarySchoolStudents_EnrollingSeptember2021_PlusRisingMiddleSchool_FJPSKVND
- Elem_9
4. Data analysts use a process called encryption to organize folders into subfolders.
- True
- False
5. 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?
- Duplicating files
- Destroying files
- Archiving files
- Renaming files
6.Data analysts create hierarchies to organize their folders. How are folder hierarchies structured?
- Broad topics at the top, then more specific topics below
- Broad topics at the right, then more specific topics at the left
- Specific topics at the top, then more broad topics below
- Broad topics at the left, then more specific topics at the right
7. Using encryption to protect data is an example of what?
- Data validation
- Data integrity
- Data ethics
- Data security
8. To reduce clutter, a data analyst hides cells that contain long, complex formulas. To view the formulas again, the analyst will need to adjust the spreadsheet sharing or encryption settings.
- True
- False
9. A data analyst is working with a file from a customer satisfaction survey. The survey was sent to anyone who became a customer between April and June, 2020. Which of the following is an effective name for the file?
- April_May_June_2020_Responses_to_New_Customer_Survey_ANALYSISDATA_928310
- NewCustomerSurvey_2020-6-20_V03
- Survey_Responses
- Apr-June2020_CustSurvey_V
10. Foldering may be used by data analysts to organize folders into what?
- Databases
- Subfolders
- Versions
- Tables
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
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
21. Fill in the blank: A data analytics team uses _____ to indicate consistent naming conventions for a project. This is an example of using data about data.
- folder hierarchies
- classifications
- metadata
- version control
22. A data analyst creates a file that lists people who donated to their organization’s fund drive. An effective name for the file is FundDriveDonors_20210216_V01.
- True
- False
23. Data analysts use archiving to separate current from past work. What does this process involve?
- Using secure data-erase software to destroy old files
- Reviewing current data files to confirm they’ve been cleaned
- Moving files from completed projects to another location
- Reorganizing and renaming current files
24. Data analysts create hierarchies to organize their folders. They do this by structuring folders by specific topics at the top, then more broadly below.
- True
- False
25. A data analyst creates a spreadsheet with five tabs. They want to share the data in tabs 1-4 with a client. Tab 5 contains private information about other clients. Which of the following tactics will enable them to keep tab 5 private? Select all that apply.
- Rename tab 5 to include the word “private” then share the spreadsheet with the client.
- Hide tab 5, then share the spreadsheet with the client.
- Copy tabs 1-4 into a separate spreadsheet, then share the new file with the client.
- Make a copy of the spreadsheet, delete tab 5, then share the new file with the client.