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NEW QUESTION # 27
You attempt to delete a user who owns content on a Tableau Server. What is the result of the delete action?
Answer: B
Explanation:
Deleting a user in Tableau Server involves handling their owned content (workbooks, data sources) -- let's analyze the process:
Deletion Rules:
Ownership Check: Tableau prevents deletion if the user owns content to avoid orphaning it.
Action: Instead of deleting, the user's site role is set to Unlicensed, retaining their account and content ownership.
Resolution: An admin must reassign ownership (e.g., via Users > Actions > Change Owner) before deletion.
Option D (User switched to Unlicensed and NOT deleted): Correct. Details: Attempting deletion (e.g., Users > Select User > Actions > Delete) triggers a check. If content exists, the user becomes Unlicensed--still in the system but unable to log in. Why: Protects data integrity--content remains accessible for reassignment.
NEW QUESTION # 28
What two events must occur for Tableau Server to recompute queries for a workbook cache after a scheduled refresh? (Choose two.)
Answer: B,D
Explanation:
Tableau Server uses caching to speed up workbook loading by storing query results. After a scheduled extract refresh updates the data, the cache may need recomputing--let's dive into the mechanics:
Caching Basics:
VizQL Cache: Stores rendered views and query results for faster access. Refresh Trigger: A scheduled refresh updates the underlying extract (.hyper), but the cache isn't automatically invalidated--it's demand-driven.
Recompute Conditions: Tableau recomputes the cache when the workbook is accessed (viewed) and its data has changed (e.g., via refresh).
Option B (The workbook has upcoming scheduled refresh tasks): Correct. Why: An upcoming refresh task indicates the workbook relies on an extract with a schedule. After the refresh runs, the data changes, priming the cache for recomputation on next view. Without a schedule, no refresh occurs, so this is a prerequisite. Detail: Schedules are set in Schedules > Tasks--e.g.,
"Daily at 2 AM."
Option D (The workbook has been viewed recently): Correct. Why: Viewing triggers cache recomputation if the data has changed (e.g., post-refresh). Tableau uses a "lazy caching" model-- cache updates only when a user loads the workbook, ensuring fresh results. Detail: "Recently" isn't strictly defined but implies post-refresh access.
NEW QUESTION # 29
A user reports that a newly-published workbook runs slowly. What should you ask the user first to investigate the problem?
Answer: A
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.
* Option B (Does the workbook always run slowly or does performance vary?): Useful but secondary.
* Why Not First: Variability (e.g., slow at peak times) points to server load, but without a Desktop baseline, you can't rule out workbook design. It's a follow-up question after A.
* Detail: Variability might suggest caching or concurrent user impact, but it assumes Server-side causation prematurely.
* Option C (How many times have you opened the workbook in Tableau Server?): Less relevant initially.
* Why Not First: Frequency of access might affect caching (first load is slower, subsequent loads faster), but it's too specific and doesn't isolate Desktop vs. Server. It's a niche follow-up.
* Option D (Did you enable caching on the workbook?): Misleading and incorrect.
* Why Not First: Caching is server-managed (e.g., VizQL cache settings via tsm data-access caching set), not a user-toggle per workbook. Users don't "enable" it-admins do. Plus, it's premature without a baseline.
Why This Matters: Starting with Desktop performance cuts through assumptions, pinpointing whether the root cause is client-side (workbook/data) or server-side-essential for efficient resolution in production.
Reference: Tableau Server Documentation - "Troubleshoot Performance" (https://help.tableau.com/current
/server/en-us/troubleshoot_performance.htm).
NEW QUESTION # 30
A user receives an error after attempting to run an extract refresh on the Tableau Server. What should you review to identify the cause of the problem?
Answer: C
Explanation:
When an extract refresh fails on Tableau Server, troubleshooting requires identifying the root cause-e.g., connectivity issues, resource constraints, or configuration errors. The Backgrounder process handles extract refreshes, so it's a key focus, but the best diagnostic tool depends on granularity and context. Let's explore this thoroughly:
* Extract Refresh Process:
* An extract refresh pulls data from a source (e.g., database, file) into a .hyper file stored on Tableau Server.
* The Backgrounder executes these tasks based on schedules or manual triggers.
* Errors could stem from: database connectivity, credentials, file access, resource overload, or task misconfiguration.
* Option B (Background Tasks for Extracts administrative view): Correct. This is the most direct and detailed method:
* Location: In the Tableau Server web UI, go to Server > Status > Background Tasks for Extracts (or site-specific under Site > Status).
* Details Provided:
* Task name, schedule, and workbook/data source.
* Start/end times and status (e.g., Failed, Success).
* Error messages (e.g., "Cannot connect to database," "Permission denied").
* Why It's Best: It pinpoints the exact failure (e.g., "timeout," "invalid credentials") for the specific refresh, offering actionable insights without needing to dig through logs manually. Server or site administrators can access this view to diagnose issues quickly.
* Example: If the error is "Database login failed," you'd check credentials in the data source settings next.
* Option A (Status of the Backgrounder process via tsm status -v): Partially useful but insufficient:
* What It Shows: Running/stopped status of all processes (e.g., "Backgrounder: RUNNING").
* Limitation: It confirms if Backgrounder is operational but doesn't reveal why a specific task failed-no error details or task-level granularity.
* Use Case: If Backgrounder is stopped or crashed, this might indicate a broader issue, but the question implies a single refresh error, not a server-wide failure.
* Option C (The UNC path to the extract's data source): Relevant but secondary:
* Context: If the data source is a file (e.g., CSV on a network share), the UNC path (e.g.,
\\server\share\file.csv) must be accessible.
* Why Not First: The error could be unrelated (e.g., database issue, not file-based). The admin view (B) would reveal if it's a path issue first, guiding you to check the UNC path only if indicated (e.g., "File not found").
* Practical Note: Backgrounder needs share permissions and the Run As account must access it- checking this without context wastes time.
* Option D (Whether project permissions are set to Locked): Unlikely cause:
* Permissions Impact: Locked permissions restrict who can edit/view content, not whether an extract refresh runs-that's tied to the data source's connection settings and Backgrounder execution.
* Exception: If the refresh user lacks "Connect" permission to the data source, it might fail, but this is rare (owner/schedule typically has access). The admin view would flag this.
Why This Matters: The Background Tasks view is Tableau's purpose-built tool for extract diagnostics, saving time and reducing guesswork in production environments.
Reference: Tableau Server Documentation - "Administrative Views: Background Tasks for Extracts" (https://help.tableau.com/current/server/en-us/adminview_background_tasks.htm).
NEW QUESTION # 31
Which three items can be contained in a project? (Choose three.)
Answer: A,C,D
Explanation:
In Tableau Server, projects are containers for organizing and securing content. They help manage permissions and structure content hierarchically. Let's define what can be contained:
* Workbooks: Visualizations and dashboards published to the Server.
* Data Sources: Published connections or extracts reusable across workbooks.
* Nested Projects: Sub-projects within a parent project, introduced in later versions (e.g., 2018.2) for deeper organization.
* Option B (Workbooks): Correct. Workbooks are the primary content type in projects, containing views and dashboards.
* Option C (Nested Projects): Correct. Nested projects allow hierarchical structuring (e.g., a "Sales" project with "Q1" and "Q2" sub-projects), with inherited or custom permissions.
* Option D (Data Sources): Correct. Published data sources reside in projects, providing reusable data connections.
* Option A (Groups): Incorrect. Groups are collections of users managed at the site or server level, not stored within projects. Projects contain content, not user entities.
Why This Matters: Projects are key to content governance-knowing what they hold helps administrators organize and secure assets effectively.
Reference: Tableau Server Documentation - "Projects" (https://help.tableau.com/current/server/en-us/projects.
htm).
NEW QUESTION # 32
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