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Salesforce Certified Tableau Server Administrator Sample Questions (Q10-Q15):
NEW QUESTION # 10
What are two intervals when Tableau Server verifies if data conditions for data-driven alerts are true? (Choose two.)
- A. Whenever a new extract is published
- B. Every 10 minutes
- C. Whenever extracts in the related workbook are refreshed
- D. Every 60 minutes
Answer: C,D
Explanation:
Data-driven alerts notify users when data meets conditions (e.g., sales > $10K). Let's examine when Tableau checks these:
* Alert Mechanics:
* Enabled per site (Settings > General > Data-Driven Alerts).
* Backgrounder evaluates conditions against extract data.
* Check Intervals: Configurable via tsm configuration set -k dataAlerts.checkIntervalInMinutes (default: 60 minutes).
* Refresh Trigger: Also checks post-extract refresh for immediate updates.
* Option A (Every 60 minutes): Correct.
* Details: Default interval-Backgrounder polls every hour to evaluate alert conditions.
* Config: Adjustable (e.g., -v 30 for 30 minutes).
* Option D (Whenever extracts in the related workbook are refreshed): Correct.
* Details: An extract refresh updates the data, triggering an immediate alert check to catch changes promptly.
* Why: Ensures timely notifications without waiting for the next poll.
* Option B (Every 10 minutes): Incorrect.
* Why: Not the default-possible via config, but not standard.
* Option C (Whenever a new extract is published): Incorrect.
* Why: Publishing creates the extract; alerts trigger on refreshes or polling, not initial publication.
Why This Matters: Timing affects alert responsiveness-balancing frequency and server load is key.
Reference: Tableau Server Documentation - "Data-Driven Alerts" (https://help.tableau.com/current/server/en- us/data_alerts.htm).
NEW QUESTION # 11
What two types of users can sign in to Tableau Server and edit the permissions for a workbook in a project, when permissions are NOT set to Locked to the project? (Choose two.)
- A. Users set to Project Leader for the workbook's project
- B. Users that have the project and workbook Viewer role
- C. Users that have the workbook Interactor role
- D. The workbook's owner
Answer: A,D
Explanation:
Editing permissions on a workbook in Tableau Server depends on the user's role and the project's permission settings. Since permissions are not locked (i.e., "Managed by Owner"), let's dissect who can edit them:
* Permission Model:
* Not Locked: Owners of content (workbooks, data sources) can set permissions, and Project Leaders can override at the project level.
* Site Roles: Define maximum capabilities (e.g., Viewer, Explorer, Creator).
* Capabilities: "Set Permissions" is explicit-only certain users get it.
* Option C (The workbook's owner): Correct.
* Details: The owner (typically the publisher) has full control over their workbook when permissions are Managed by Owner:
* How: In the UI, go to Content > Workbooks > Actions > Permissions-owners can edit rules (e.g., grant Editor to a group).
* Site Role: Minimum of Explorer (can publish) or Creator to publish, ensuring "Set Permissions" capability.
* Why: Ownership inherently includes permission management unless locked.
* Option D (Users set to Project Leader for the workbook's project): Correct.
* Details: Project Leaders are assigned via Content > Projects > Actions > Permissions > Set Project Leader:
* Power: Can edit permissions for all content in the project, even if not the owner.
* Site Role: Requires Site Administrator or Server Administrator (Creator/Explorer variants suffice).
* Why: Overrides ownership in Managed by Owner mode-ensures project-level governance.
* Option A (Users with project and workbook Viewer role): Incorrect.
* Why: Viewer role (site-level) limits users to viewing-lacks "Set Permissions" capability, regardless of project/workbook rules.
* Option B (Users with workbook Interactor role): Incorrect.
* Why: "Interactor" isn't a standard role-likely a misnomer for Explorer or Viewer with interaction permissions (e.g., Filter). No permission-editing rights exist here.
Why This Matters: Knowing who can edit permissions prevents access control gaps-crucial for collaborative or regulated environments.
Reference: Tableau Server Documentation - "Permissions" (https://help.tableau.com/current/server/en-us
/permissions.htm), "Project Leader Permissions" (https://help.tableau.com/current/server/en-us
/permissions_project_leader.htm).
NEW QUESTION # 12
Which three methods should an administrator use to create a Tableau Server group or project? (Choose three.)
- A. REST API
- B. tabcmd
- C. Tableau Server browser interface
- D. tsm customize
Answer: A,B,C
Explanation:
Tableau Server provides multiple methods to create groups (collections of users) and projects (content containers), catering to UI, CLI, and programmatic needs. Let's dissect each option with depth:
* Option B (Tableau Server browser interface): Correct.
* Groups: Go to Users > Groups > Add Group, name it, and optionally sync with Active Directory.
* Projects: Go to Content > Projects > New Project, set name, description, and permissions.
* Details: The web UI is intuitive, requiring server/site administrator rights. It's ideal for manual, ad-hoc creation with immediate visibility.
* Permissions: For projects, you can set default permissions or lock them here.
* Option C (tabcmd): Correct.
* Groups: tabcmd creategroup "GroupName" creates a local group. Add users with tabcmd addusers "GroupName" --users "user1,user2".
* Projects: tabcmd createproject -n "ProjectName" -d "Description" creates a project.
* Details: tabcmd is a command-line tool for batch operations or scripting (e.g., automating group
/project setup). It requires a server admin login (tabcmd login).
* Limitation: No AD sync via tabcmd-that's UI or REST API territory.
* Option D (REST API): Correct.
* Groups: Use the POST /api/api-version/sites/site-id/groups endpoint with a payload (e.g.,
{"group": {"name": "GroupName"}}). Supports AD import too.
* Projects: Use POST /api/api-version/sites/site-id/projects (e.g., {"project": {"name":
"ProjectName", "description": "Desc"}}).
* Details: The REST API is programmatic, ideal for integration with external systems or bulk automation. Requires authentication via a token and server/site admin rights.
* Power: Offers full control, including nested projects and custom permissions.
* Option A (tsm customize): Incorrect.
* Purpose: tsm customize modifies TSM UI branding (e.g., logos, colors) via commands like tsm customize --logo "path/to/logo.png".
* Why Wrong: It's unrelated to creating groups or projects-it's for cosmetic server configuration, not content/user management.
Why This Matters: Offering UI, CLI, and API options ensures flexibility-manual for small tasks, automation for scale-critical in enterprise deployments.
Reference: Tableau Server Documentation - "Manage Groups" (https://help.tableau.com/current/server/en-us
/groups_create.htm), "Manage Projects" (https://help.tableau.com/current/server/en-us/projects_create.htm),
"tabcmd Commands" (https://help.tableau.com/current/server/en-us/tabcmd_cmd.htm), "REST API Reference" (https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_ref.htm).
NEW QUESTION # 13
A user published a workbook ten days ago. The user can see the workbook on the Server, but she is unable to find the workbook by using Search. What should you do to resolve the problem?
- A. Run the tsm maintenance reindex-search command
- B. Instruct the user to add tags to the workbook
- C. Instruct the user to re-publish the workbook with keywords
- D. Instruct the user to log out, and then log back in
Answer: A
Explanation:
Tableau Server's search functionality relies on an indexed catalog of content (workbooks, data sources, etc.) stored in the Repository. If a user can see a workbook in the UI (e.g., under Content > Workbooks) but not find it via search, the search index may be outdated or corrupted. This can happen due to:
* Indexing delays after publishing.
* Server maintenance or crashes affecting the index.
* Option D (Run the tsm maintenance reindex-search command): Correct. This command rebuilds the search index, ensuring all content (including the user's workbook) is properly cataloged and searchable. Steps:
* Stop Tableau Server (tsm stop).
* Run tsm maintenance reindex-search.
* Start Tableau Server (tsm start).This is a server administrator task and resolves systemic search issues.
* Option A (Re-publish the workbook with keywords): Incorrect. Re-publishing might update the index for that workbook, but it doesn't fix a broader indexing problem. Keywords enhance relevance, not indexing itself.
* Option B (Add tags to the workbook): Incorrect. Tags improve searchability but don't address an index failure. If the workbook isn't indexed, tags won't help.
* Option C (Log out, and then log back in): Incorrect. This refreshes the user session but doesn't affect the server-side search index.
Why This Matters: A reliable search index is critical for content discovery in large deployments-reindex- search ensures consistency.
Reference: Tableau Server Documentation - "Reindex Search" (https://help.tableau.com/current/server/en-us
/cli_maintenance_tsm.htm#reindex-search).
NEW QUESTION # 14
A user reports that a newly-published workbook runs slowly. What should you ask the user first to investigate the problem?
- A. Does it run any faster in Tableau Desktop?
- B. Does the workbook always run slowly or does performance vary?
- C. Did you enable caching on the workbook?
- D. How many times have you opened the workbook in Tableau Server?
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 # 15
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