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NEW QUESTION # 15
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: D
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 # 16
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: B
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 # 17
You are the server administrator of a single-node Tableau Server installation. The server hosts five schedules that each execute once a day: Weekday 3:00 PM Extract Refresh, Weekday 5:00 PM Subscription, Weekday
2:00 AM Extract Refresh, Weekday 7:00 AM Extract Refresh, and Weekday 8:00 AM Subscription. The schedules are scheduled to execute during periods when Tableau Server is least active. The busiest period for your server is immediately after the workday begins at 9:00 AM. The office of the CEO reports that every morning at 9:00 AM, they access the views in a particular workbook. The data for these views is refreshed by a task associated with the 7:00 AM schedule. The CEO reports that the data in the views is only being refreshed about 70% of the time. What should you do to attempt to resolve the CEO's problem?
Answer: A
Explanation:
In Tableau Server, schedules manage tasks like extract refreshes and subscriptions. Each task within a schedule has a priority value (ranging from 1 to 100, where 1 is the highest priority and 100 is the lowest).
Tasks with higher priority (lower numbers) are executed before tasks with lower priority (higher numbers) when queued by the Backgrounder process. If the Backgrounder is overloaded or delayed, lower-priority tasks may not complete on time, leading to inconsistent refreshes.
In this scenario:
The 7:00 AM Extract Refresh task is critical for the CEO's workbook, but the data is only refreshed 70% of the time by 9:00 AM.
The server has a single node, meaning a single Backgrounder process handles all tasks. With five schedules (some overlapping in the early morning), contention or delays could prevent the 7:00 AM task from completing reliably before 9:00 AM.
Option C (Set the priority of this task to 1): Correct. Setting the task priority to 1 ensures it has the highest priority among all queued tasks. This increases the likelihood that the Backgrounder executes it promptly at 7:
00 AM, completing the refresh before the CEO accesses the workbook at 9:00 AM. You can adjust task priority in the Tableau Server web interface under Schedules > Tasks > Edit Priority.
Option A (Set the default priority of this schedule to 50): Incorrect. The default priority for schedules is already 50, and this option refers to the schedule's default, not the specific task. It wouldn't address the contention issue.
Option B (Set the priority for all other tasks to 50): Incorrect. This keeps all tasks at the default priority (50), leaving the 7:00 AM task without a relative advantage. It doesn't prioritize the CEO's task.
Option D (Set the priority of this task to 100): Incorrect. Priority 100 is the lowest, which would deprioritize the task, making the refresh even less reliable.
Reference: Tableau Server Documentation - "Manage Schedules and Tasks" (https://help.tableau.com/current
/server/en-us/schedule_manage.htm).
NEW QUESTION # 18
You need to verify the status of the Coordination Service ensemble in a high-availability (HA) Tableau Server cluster. What should you do?
Answer: B
Explanation:
In an HA Tableau Server cluster, the Coordination Service (ZooKeeper ensemble) maintains cluster state- let's find the best way to check it:
* Coordination Service:
* Runs on multiple nodes (3 or 5 in HA) to ensure quorum and failover.
* Status indicates if it's running and synced-critical for cluster health.
* Option C (Run tsm status -v): Correct.
* Details: tsm status --verbose lists all processes across nodes, including Coordination Service (e.
g., "Coordination Service: RUNNING").
* Why Best: Provides detailed, node-specific status in the CLI-e.g., "Node 1: RUNNING, Node
2: RUNNING."
* Use: Run on the initial node; -v ensures full output.
* Option A (TSM web client Status page): Incorrect.
* Why: The TSM UI (Server > Status) shows process counts (e.g., "Coordination Service: 3 instances"), but not detailed per-node status-less granular than CLI.
* Option B (tsm maintenance ziplogs): Incorrect.
* Why: Generates log archives for troubleshooting, not a real-time status check.
* Option D (Tableau Server Status page): Incorrect.
* Why: The Server Status page (Server > Status in the web UI) monitors application processes (e.
g., VizQL), not TSM's Coordination Service.
Why This Matters: Coordination Service health ensures HA stability-tsm status -v is the admin's go-to for precision.
Reference: Tableau Server Documentation - "Check Server Status" (https://help.tableau.com/current/server/en- us/tsm_status.htm).
NEW QUESTION # 19
What event is most likely to cause problems for a Tableau Server?
Answer: C
Explanation:
Tableau Server's performance and stability depend on dedicated resources and proper configuration. Running additional software on the same server is the most likely to cause problems because:
* Resource contention: Tableau Server requires significant CPU, RAM, and disk I/O. Other software (e.
g., databases, web servers) can compete for these resources, leading to slowdowns, crashes, or failed tasks.
* Port conflicts: Tableau uses specific ports (e.g., 80, 443, 8850), and other applications might interfere.
* Security risks: Additional software increases the attack surface, potentially compromising Tableau Server.
Tableau recommends running the server on dedicated hardware without unrelated applications.
* Option A (Running additional software on the server): Correct. This is a common cause of performance issues and is explicitly discouraged in Tableau's best practices.
* Option B (Separating the Backgrounder and VizQL processes to different machines): Incorrect.
This is a supported multi-node configuration that can improve performance, not cause problems, if properly set up via TSM.
* Option C (Configuring the server to use a static IP address): Incorrect. A static IP is recommended for Tableau Server to ensure consistent network access, so it's unlikely to cause issues.
* Option D (Using a non-default installation path): Incorrect. While not default, a custom path is supported (via TSM or installer options) and unlikely to cause problems if permissions and disk space are adequate.
Reference: Tableau Server Documentation - "Best Practices for Installation" (https://help.tableau.com/current
/server/en-us/install_best_practices.htm).
NEW QUESTION # 20
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