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NEW QUESTION # 67
What should you do to configure the view URL and enable recording for a site that has recording workbook performance metrics enabled?
Answer: C
Explanation:
Tableau Server can record performance metrics for workbooks to troubleshoot slow-loading views. This feature must be enabled at the site level (via Settings > General > Allow Performance Recording). Once enabled, you can trigger recording for a specific view by modifying its URL.
The correct syntax is to append :record_performance=yes& to the view URL, immediately after the session ID. For example:
* Original
URL: http://server/#/site/my-site/views/workbook/view?:iid=1
* Modified
URL: http://server/#/site/my-site/views/workbook/view?:iid=1:record_performance=yes
&
After loading the view with this parameter, a performance recording is generated and accessible via the Performance option in the toolbar.
* Option B (Type :record_performance=yes& at the end of the view URL, immediately after the session ID): Correct. This follows Tableau's documented method for enabling performance recording.
* Option A (Click the Performance link in the toolbar): Incorrect. The Performance link appears only after recording is triggered via the URL; it's not the method to enable it.
* Option C (Type :record_performance=yes& immediately before the session ID): Incorrect. The parameter must follow the session ID (e.g., :iid=1) to function correctly.
* Option D (Delete the session ID in the URL and reload the view): Incorrect. The session ID is required for the view to load properly; removing it breaks the URL.
Reference: Tableau Server Documentation - "Record Performance of a View" (https://help.tableau.com/current
/server/en-us/perf_record.htm).
NEW QUESTION # 68
What is the maximum number of tasks that a single Backgrounder process can execute simultaneously?
Answer: D
Explanation:
The Backgrounder process in Tableau Server handles tasks like extract refreshes and subscriptions-let's explore its concurrency:
* Backgrounder Behavior:
* Each instance is single-threaded for task execution-one task at a time per Backgrounder.
* Multiple Backgrounders (e.g., in multi-node setups) increase parallelism, but a single Backgrounder is limited to 1 concurrent task.
* Queue: Additional tasks wait in the queue, prioritized by their priority (1-100).
* Option A (One): Correct.
* Details: A single Backgrounder executes one task (e.g., an extract refresh) until completion before starting the next.
* Config: Add more Backgrounders via TSM (tsm topology set-process -n node1 -pr backgrounder
-c 2) for more concurrency.
* Option B (Two): Incorrect.
* Why: Not natively supported-a single Backgrounder doesn't multi-thread tasks.
* Option C (Three): Incorrect.
* Why: Exceeds the single-threaded design.
* Option D (Unlimited): Incorrect.
* Why: Concurrency is fixed at 1 per instance-resources affect queue processing speed, not simultaneous tasks.
Why This Matters: Understanding Backgrounder limits guides scaling-more instances mean more parallel tasks, critical for heavy workloads.
Reference: Tableau Server Documentation - "Backgrounder Process" (https://help.tableau.com/current/server
/en-us/processes.htm#backgrounder).
NEW QUESTION # 69
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?
Answer: C
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.
NEW QUESTION # 70
A user reports that a newly-published workbook runs slowly. What should you ask the user first to investigate the problem?
Answer: B
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 # 71
What should you do to ensure that server tasks associated with a particular schedule run one-at- a- time?
Answer: D
Explanation:
In Tableau Server, schedules manage tasks such as extract refreshes and subscriptions. The execution mode of a schedule determines how tasks within that schedule are processed by the Backgrounder process:
Parallel: Tasks run simultaneously (up to the Backgrounder's capacity), which is the default setting.
Serial: Tasks run one-at-a-time in sequence, ensuring that one task completes before the next begins. To ensure tasks associated with a particular schedule run one-at-a-time, you must configure the schedule's execution mode to Serial. This is done in the Tableau Server web interface:
Go to Schedules.
Select the schedule, click Actions > Edit Schedule.
Under Execution, choose Serial instead of Parallel.
Option A (Set Execution to Serial): Correct. This directly addresses the requirement by forcing tasks to execute sequentially.
NEW QUESTION # 72
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