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NEW QUESTION # 20
A user reports that a newly-published workbook runs slowly. What should you ask the user first to investigate the problem?
Answer: D
Explanation:
When a user reports slow performance for a newly-published workbook on Tableau Server, troubleshooting requires isolating the cause--e.g., data source issues, server load, workbook design, or caching. The first question should establish a baseline to narrow the scope. Let's analyze this step- by-step with depth:
Performance Context:
A workbook's speed depends on:
Data Source: Query complexity, size, network latency (e.g., database vs. extract). Workbook Design: Filters, calculations, dashboard complexity. Server Resources: VizQL rendering, Backgrounder load, caching. "Newly-published" implies it's not yet optimized or cached on the server.
Option A (Does it run any faster in Tableau Desktop?): Correct. Why First: Comparing Desktop vs. Server performance is the most foundational diagnostic step:
Desktop Baseline: If it's slow in Desktop (local machine), the issue likely lies in the workbook (e.g., complex queries, large data) or data source (e.g., slow database)--not Server-specific.
Server Difference: If it's fast in Desktop but slow on Server, the problem could be server-side (e.g., resource contention, network latency to the data source from Server).
Practical Next Steps:
Slow in Desktop: Optimize workbook (e.g., simplify calcs, use extracts). Fast in Desktop: Check Server (e.g., caching, VizQL load).
Why Critical: Establishes whether the issue is inherent to the workbook/data or introduced by Server--guides all further investigation.
NEW QUESTION # 21
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?
Answer: A
Explanation:
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).
NEW QUESTION # 22
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?
Answer: A
Explanation:
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.
NEW QUESTION # 23
You use Tableau Desktop 10.5 and plan to publish a visualization to a Tableau Server that runs version 2020.1. You are assigned the Creator site role, and Publisher permissions for a project.
What statement correctly describes what happens when you attempt to publish the visualization?
Answer: D
Explanation:
Tableau Desktop and Tableau Server have versioning considerations when publishing content, particularly regarding compatibility between older Desktop versions (e.g., 10.5) and newer Server versions (e.g., 2020.1). Let's break this down step-by-step:
Version Context: Tableau Desktop 10.5 was released in 2017 and used the .tde (Tableau Data Extract) format for extracts. Tableau Server 2020.1, released in 2020, introduced the .hyper extract format (starting with version 10.5, but fully standardized later). When publishing from an older Desktop version to a newer Server version, Tableau ensures backward compatibility but may upgrade certain components.
Publishing Process: With a Creator site role and Publisher permissions, you have the rights to publish workbooks to the specified project. Tableau Server accepts workbooks from older Desktop versions (e.g., 10.5) and upgrades them to the current Server version (2020.1) during publishing. This process is seamless for the workbook itself, but extracts require special handling.
Extract Handling: If the workbook contains embedded .tde extracts (stored within the .twb or .twbx file), Tableau Server 2020.1 converts these to .hyper format upon publishing. This conversion is necessary because .hyper replaced .tde as the default extract engine starting in Tableau 10.5 and beyond, offering better performance and scalability. During this process, Tableau Desktop or Server displays a warning to inform the user of the upgrade, as it's a one-way conversion (you can't revert to .tde on the Server).
Option C (Warning: embedded .tde extracts will be upgraded to .hyper): Correct. This is the precise warning displayed when a workbook with .tde extracts is published to a Server version that uses .hyper. It ensures the user is aware of the format change, which might affect extract refresh schedules or performance expectations.
NEW QUESTION # 24
What statement correctly describes locking permissions to a project?
Answer: A
Explanation:
In Tableau Server, projects organize content (workbooks, data sources) and use permissions to control access. "Locking permissions" restricts how permissions are managed within a project-let's explore this exhaustively:
* Permission Management Modes:
* Managed by Owner: Default mode. Content owners (e.g., workbook publishers) can set permissions on their items, inheriting project defaults as a starting point.
* Locked to the Project: Project-level permissions are enforced, and content owners cannot modify them. This ensures consistency across all items in the project.
* How to Lock:
* In the Tableau Server web UI:
* Go to Content > Projects.
* Select a project, click Actions > Permissions.
* In the Permissions dialog, change Permissions Management from "Customizable" (Managed by Owner) to "Locked."
* Set the desired permissions (e.g., Viewer, Editor) for users/groups, which then apply uniformly to all content.
* Via REST API: Use the updateProject endpoint with "permissionsLocked": true.
* Option B (You can lock permissions to a project by changing Customizable to Locked): Correct.
* Details: This is the precise action in the UI-switching from "Customizable" to "Locked" locks permissions at the project level.
* Impact: Owners lose the ability to override permissions on individual workbooks/data sources, enforcing governance.
* Example: Set "All Users" to Viewer (Locked)-all content in the project is view-only, regardless of owner intent.
* Option A (Locking permissions must be enabled on the Server Settings page): Incorrect.
* Why: Locking is a per-project setting, not a server-wide toggle. The Server Settings page (via TSM) controls global configs (e.g., authentication), not project permissions.
* Option C (Content permissions are locked by default): Incorrect.
* Default: New projects are "Managed by Owner" (Customizable), allowing flexibility unless explicitly locked by an admin.
* Option D (By setting the appropriate Project permission role): Incorrect.
* Confusion: "Project permission role" isn't a term-permissions are set via rules (e.g., Viewer, Editor), but locking is a separate action (Customizable # Locked).
Why This Matters: Locking permissions ensures uniform access control, critical for regulated environments or large teams where consistency trumps flexibility.
Reference: Tableau Server Documentation - "Lock Project Permissions" (https://help.tableau.com/current
/server/en-us/permissions_lock.htm).
NEW QUESTION # 25
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