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Question 1A data analytics team labels its files to indicate their content, creation date, and version number. The team is using what data organization tool?1 pointFile-naming attributesFile-naming verificationsFile-naming conventions File-naming references

Question

Question 1A data analytics team labels its files to indicate their content, creation date, and version number. The team is using what data organization tool?1 pointFile-naming attributesFile-naming verificationsFile-naming conventions File-naming references

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Solution

The data analytics team is using a data organization tool called "file-naming conventions."

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Question 2To align file naming and storage practices, it’s useful to develop metadata practices with your data analytics team.1 pointTrueFalse

Question 2Fill 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.1 pointclassificationsfolder hierarchiesversion controlmetadata

Question 3A data analyst team revisits an old project and wants to understand how the file-naming conventions are structured. Where does the team locate this information?1 pointIn folder hierarchiesIn SQLIn the metadataIn aggregated data

Question 2A data team works on a project involving multiple collaborators. When creating a new file for the project, what should they include in each file's name in order to help team members locate project files easily? Select all that apply. 1 pointVersion numberCollaborator namesContent descriptionCreation date

Question 2What are the key goals of foldering in data analytics? Select all that apply.1 pointTransfer files from one place to anotherOrganize files into subfoldersKeep project-related files togetherAssign metadata about the folders

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