Exam Analytics-Admn-201 Topic 4 Question 17 Discussion
Actual exam question for Salesforce's Analytics-Admn-201 exam
Question #: 17
Topic #: 4
Question #: 17
Topic #: 4
Several Tableau Server users published workbooks that have large extracts. After several weeks of use, the users abandoned the workbooks. What should you do to identify the abandoned workbooks?
Suggested Answer: A Vote an answer
Abandoned workbooks-those no longer actively used-can clutter Tableau Server and consume resources (e.
g., disk space for extracts). Identifying them efficiently requires leveraging built-in administrative tools rather than manual or destructive methods. Let's explore this in depth:
* Tableau Server Admin Views: Tableau provides pre-built administrative views to monitor server health, usage, and content. The Stale Content view, accessible under Server > Status > Administrative Views, is specifically designed to identify content (workbooks, data sources) that hasn' t been viewed or modified recently. It shows:
* Content name, owner, and project.
* Last viewed date and last modified date.
* View count over a period.This view uses Repository data to track usage metrics, making it ideal for spotting abandoned workbooks.
* Option A (Use the Stale Content administrative view): Correct. This is the most efficient and non- invasive method. You can filter by last viewed date (e.g., >30 days ago) to identify workbooks with large extracts that users have stopped accessing. From there, you can contact owners or delete the content if policy allows. It's a server administrator's go-to tool for content management.
* Option B (Examine extract files in ProgramData/.../extract): Incorrect and impractical. The ProgramData/Tableau/Tableau Server/data/tabsvc/dataengine/extract directory stores .hyper extract files, but:
* File names are cryptic (e.g., GUIDs), not tied directly to workbook names.
* It doesn't indicate usage or abandonment-only file presence and size.
* Manual inspection is time-consuming and error-prone compared to the Stale Content view.
* Option C (Delete all extracts and allow them to be re-generated): Incorrect and risky. Deleting extracts (e.g., via tsm maintenance cleanup) removes them without identifying usage. Regeneration only occurs if a schedule or user triggers it, potentially disrupting active users and losing historical data unnecessarily.
* Option D (View all workbooks, and sort by the Modified date): Partially effective but inefficient. In the Tableau Server UI (e.g., under Content > Workbooks), you can sort by "Last Modified," but:
* It doesn't show viewership (a workbook might be modified recently but unused).
* It's manual and doesn't scale for large deployments compared to the Stale Content view.
Why This Matters: The Stale Content view leverages Tableau's metadata to provide actionable insights, saving time and reducing risk compared to manual or destructive alternatives. It's part of Tableau's governance toolkit.
Reference: Tableau Server Documentation - "Administrative Views" (https://help.tableau.com/current/server
/en-us/adminview_stale_content.htm).
g., disk space for extracts). Identifying them efficiently requires leveraging built-in administrative tools rather than manual or destructive methods. Let's explore this in depth:
* Tableau Server Admin Views: Tableau provides pre-built administrative views to monitor server health, usage, and content. The Stale Content view, accessible under Server > Status > Administrative Views, is specifically designed to identify content (workbooks, data sources) that hasn' t been viewed or modified recently. It shows:
* Content name, owner, and project.
* Last viewed date and last modified date.
* View count over a period.This view uses Repository data to track usage metrics, making it ideal for spotting abandoned workbooks.
* Option A (Use the Stale Content administrative view): Correct. This is the most efficient and non- invasive method. You can filter by last viewed date (e.g., >30 days ago) to identify workbooks with large extracts that users have stopped accessing. From there, you can contact owners or delete the content if policy allows. It's a server administrator's go-to tool for content management.
* Option B (Examine extract files in ProgramData/.../extract): Incorrect and impractical. The ProgramData/Tableau/Tableau Server/data/tabsvc/dataengine/extract directory stores .hyper extract files, but:
* File names are cryptic (e.g., GUIDs), not tied directly to workbook names.
* It doesn't indicate usage or abandonment-only file presence and size.
* Manual inspection is time-consuming and error-prone compared to the Stale Content view.
* Option C (Delete all extracts and allow them to be re-generated): Incorrect and risky. Deleting extracts (e.g., via tsm maintenance cleanup) removes them without identifying usage. Regeneration only occurs if a schedule or user triggers it, potentially disrupting active users and losing historical data unnecessarily.
* Option D (View all workbooks, and sort by the Modified date): Partially effective but inefficient. In the Tableau Server UI (e.g., under Content > Workbooks), you can sort by "Last Modified," but:
* It doesn't show viewership (a workbook might be modified recently but unused).
* It's manual and doesn't scale for large deployments compared to the Stale Content view.
Why This Matters: The Stale Content view leverages Tableau's metadata to provide actionable insights, saving time and reducing risk compared to manual or destructive alternatives. It's part of Tableau's governance toolkit.
Reference: Tableau Server Documentation - "Administrative Views" (https://help.tableau.com/current/server
/en-us/adminview_stale_content.htm).
by Cyril at Jul 01, 2026, 04:04 AM
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