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NEW QUESTION # 47
What file format should you use to register Tableau Server from the command line?
Answer: C
Explanation:
Registering Tableau Server from the command line involves providing configuration details (e.g., identity store, license) via the tsm register command. Let's explore this fully:
* Registration Process:
* Run during initial setup or to update settings (e.g., after changing AD/LDAP config).
* Uses a configuration file to pass parameters to TSM.
* Command: tsm register --file <path-to-file>.
* File Format:
* Tableau Server uses JSON for configuration files in TSM commands like tsm register.
* Example:
json
CollapseWrapCopy
{
"identityStore": {
"type": "local",
"domain": "example.com"
}
}
* JSON is structured, machine-readable, and aligns with Tableau's modern CLI design.
* Option C (JSON): Correct.
* Official format for tsm register, per documentation and practical use.
* Option A (YML): Incorrect.
* While tabsvc.yml exists internally, it's not for registration-tsm register uses JSON.
* Option B (XML): Incorrect.
* Older Tableau configs used XML (e.g., workgroup.yml pre-TSM), but TSM standardized on JSON.
* Option D (HTTP): Incorrect.
* HTTP is a protocol, not a file format-irrelevant here.
Why This Matters: Correct file format ensures seamless registration, avoiding CLI errors in setup or migrations.
Reference: Tableau Server Documentation - "tsm register" (https://help.tableau.com/current/server/en-us
/cli_register.htm).
NEW QUESTION # 48
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: C
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 # 49
What should you do to configure the view URL and enable recording for a site that has recording workbook performance metrics enabled?
Answer: D
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 # 50
What is the maximum number of tasks that a single Backgrounder process can execute simultaneously?
Answer: B
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 # 51
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: C
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 # 52
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