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Salesforce Certified Tableau Server Administrator Sample Questions (Q50-Q55):
NEW QUESTION # 50
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. Instruct the user to add tags to the workbook
- B. Instruct the user to re-publish the workbook with keywords
- C. Run the tsm maintenance reindex-search command
- D. Instruct the user to log out, and then log back in
Answer: C
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 Workbooks) but not find it via search, the search index may be outdated or corrupted.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 # 51
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?
- A. The Background Tasks for Extracts administrative view on the site status page
- B. The status of the Backgrounder process, as shown by the tsm status -v command
- C. Whether the project permissions are set to Locked to the project
- D. The UNC path to the extract's data source
Answer: A
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.,
servershareile.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 # 52
Which two statements are advantages of published data sources in comparison to embedded data sources?
(Choose two.)
- A. Storage space is conserved and resource usage during data refreshes is optimized
- B. Drivers are automatically installed on each client's machine
- C. Centralized data management is easier
- D. Data is protected so that it is only available in one workbook
Answer: A,C
Explanation:
In Tableau, data sources can be embedded (stored within a workbook) or published (stored separately on Tableau Server). Let's define these and analyze the advantages:
* Embedded Data Source: The connection details and any extract are bundled in the .twb or .twbx file.
Each workbook manages its own copy.
* Published Data Source: The connection or extract is hosted on Tableau Server, reusable across multiple workbooks.
Now, let's evaluate the options:
* Option C (Centralized data management is easier): Correct. Published data sources allow:
* Single source of truth: One data source can serve multiple workbooks, ensuring consistency.
* Unified updates: Refresh schedules, permissions, and metadata (e.g., calculated fields) are managed in one place via the Server UI.
* Governance: Administrators can control access and monitor usage centrally.In contrast, embedded data sources require individual updates per workbook, leading to duplication and management overhead.
* Option D (Storage space is conserved and resource usage during data refreshes is optimized):
Correct. With published data sources:
* Storage: A single extract on the Server (e.g., a .hyper file) is shared across workbooks, avoiding redundant copies stored in each embedded workbook.
* Refreshes: One refresh job updates the shared extract, reducing CPU and memory usage compared to multiple refreshes for duplicate embedded extracts.Embedded data sources replicate extracts, increasing disk space and refresh load.
* Option A (Data is protected so that it is only available in one workbook): Incorrect. This describes embedded data sources, not published ones. Published data sources are shared, not restricted to one workbook-permissions control access, not exclusivity.
* Option B (Drivers are automatically installed on each client's machine): Incorrect. Drivers (e.g., for SQL Server, PostgreSQL) must be installed on the Server hosting the published data source, not client machines. This is unrelated to the published vs. embedded distinction.
Why This Matters: Published data sources enhance scalability and efficiency in enterprise deployments, making them a cornerstone of Tableau Server's data strategy.
Reference: Tableau Server Documentation - "Published Data Sources" (https://help.tableau.com/current/server
/en-us/datasource_publish.htm).
NEW QUESTION # 53
You install Tableau Server on a server that has four processor cores. How many instances of each Tableau Server process are installed?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
Tableau Server's installer configures process instances based on hardware and deployment type (single-node vs. multi-node). For a single-node installation with 4 cores, we need to consider the default process topology
. Let's break this down exhaustively:
* Key Processes:
* Gateway: Handles incoming requests (1 instance).
* Application Server (VizPortal): Manages UI and sessions (1 instance).
* VizQL Server: Renders visualizations (2 instances).
* Backgrounder: Runs extract refreshes, subscriptions (1 instance).
* Data Server: Manages data connections (1 instance).
* File Store: Stores extracts (1 instance).
* Repository: Metadata database (1 instance, active).
* Cluster Controller, Cache Server, etc.: Supporting processes (typically 1 each).
* Default Configuration:
* On a single-node install, Tableau sets 1 instance per process unless specified otherwise, except for VizQL, which defaults to 2.
* The installer doesn't scale instances linearly with cores (e.g., 4 cores # 4 instances). Post-install, TSM can adjust this (e.g., tsm topology set-process), but the question asks for the installed default.
* Minimum hardware (8 cores, 32 GB RAM) suggests higher defaults, but 4 cores still triggers a minimal setup.
* Option B (1): Correct with Caveat.
* Most processes (e.g., Backgrounder, Gateway, Data Server) default to 1 instance on install, regardless of 4 cores.
* VizQL defaults to 2, but the question's phrasing ("each process") implies a general rule.
Historically (and per docs), 1 is the baseline for most, with VizQL as the exception.
* Interpretation: Assuming "each" means the typical case, 1 fits most processes on a 4-core single- node setup.
* Option A (2): Incorrect. Only VizQL defaults to 2; others don't.
* Option C (8): Incorrect. Far exceeds defaults-8 cores might justify more, but not 4.
* Option D (4): Incorrect. Not tied to core count by default; manual config would be needed.
Why This Matters: Understanding defaults aids capacity planning-4 cores is below production minimum (8), so performance tuning may be needed post-install.
Reference: Tableau Server Documentation - "Server Process Settings" (https://help.tableau.com/current/server
/en-us/processes.htm).
NEW QUESTION # 54
You activate the same Tableau Server product key on three installations for Dev, Test, and Production. You plan to move the Test environment to new hardware. What is the recommended workflow for managing the product key?
- A. Install and activate Tableau Server on the new hardware, and then deactivate it on the old hardware
- B. Install and activate Tableau Server on the new hardware and keep the existing Test environment as a backup
- C. Install and activate Tableau Server on the new hardware, and then run the following script in the old environment: tableau-server-obliterate.cmd -y -y -y
- D. Deactivate the product key on the existing Test environment, and then install and activate Tableau Server on the new hardware
Answer: D
Explanation:
Tableau Server's licensing ties product keys to specific machines. Moving an environment requires managing activations to stay compliant. Let's break this down:
* Licensing Rules:
* A product key can be activated on multiple machines (e.g., Dev, Test, Prod), but only up to the licensed limit (typically 3 for such setups).
* Deactivation frees the key for reuse elsewhere.
* Recommended Workflow:
* Deactivate first: Use tsm licenses deactivate on the old Test machine to release the key.
* Then activate: Install on the new hardware and activate with tsm licenses activate -k <key>.
* Why: Ensures compliance and avoids activation conflicts (e.g., exceeding the key's limit).
* Option B (Deactivate on Test, then install/activate on new hardware): Correct.
* Steps:
* On old Test: tsm licenses deactivate.
* Install Tableau Server on new hardware.
* On new Test: tsm licenses activate -k <key>.
* Benefit: Clean, compliant transfer-preserves license integrity.
* Option A (Activate new, then deactivate old): Incorrect.
* Risk: If the key's limit is reached (e.g., 3 activations), the new activation fails until deactivation occurs. Order matters.
* Option C (Activate new, keep old as backup): Incorrect.
* Issue: Exceeds license limit (4 activations) and risks non-compliance. Backup requires deactivation or a separate key.
* Option D (Activate new, obliterate old): Incorrect.
* Details: tableau-server-obliterate.cmd wipes the entire install (data, config)-overkill and doesn't formally deactivate the key via TSM, potentially leaving licensing inconsistent.
Why This Matters: Proper license management prevents activation errors and ensures legal use across environments.
Reference: Tableau Server Documentation - "Manage Product Keys" (https://help.tableau.com/current/server
/en-us/license_manage.htm).
NEW QUESTION # 55
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