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NEW QUESTION # 32
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: C
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.,
\\server\share\file.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 # 33
Which of the following is true regarding Tableau Server's default site?
Answer: D
Explanation:
The Default site is created automatically during installation and cannot be deleted, though its name can be changed. This is unlike additional sites, which administrators can freely create, rename, or delete.
NEW QUESTION # 34
You have a server that contains 16 processor cores. What is the default number of VizQL instances configured by the installer?
Answer: B
Explanation:
The VizQL Server process in Tableau Server handles rendering visualizations and processing queries for users viewing dashboards or workbooks. During installation, Tableau Server automatically configures the number of VizQL instances based on the number of processor cores on the machine, following this rule:
Default VizQL instances = 2 per node, unless manually adjusted post-installation. In multi-node setups, additional instances may be added based on core count, but the question specifies a single server with 16 cores.
The installer does not scale VizQL instances linearly with core count by default (e.g., it doesn't set
1 instance per 4 cores). Instead:
For a single-node installation, the default is 2 VizQL instances, regardless of core count (assuming the minimum hardware requirements are met: 8 cores, 32 GB RAM). Administrators can later adjust this using TSM (e.g., tsm topology set-process) based on performance needs, but the question asks for the default configured by the installer.
Option D (2): Correct. The installer sets 2 VizQL instances by default on a single-node installation.
NEW QUESTION # 35
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: D
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 # 36
What two events must occur for Tableau Server to recompute queries for a workbook cache after a scheduled refresh? (Choose two.)
Answer: B,C
Explanation:
Tableau Server uses caching to speed up workbook loading by storing query results. After a scheduled extract refresh updates the data, the cache may need recomputing-let's dive into the mechanics:
* Caching Basics:
* VizQL Cache: Stores rendered views and query results for faster access.
* Refresh Trigger: A scheduled refresh updates the underlying extract (.hyper), but the cache isn't automatically invalidated-it's demand-driven.
* Recompute Conditions: Tableau recomputes the cache when the workbook is accessed (viewed) and its data has changed (e.g., via refresh).
* Evaluation:
* Option B (The workbook has upcoming scheduled refresh tasks): Correct.
* Why: An upcoming refresh task indicates the workbook relies on an extract with a schedule. After the refresh runs, the data changes, priming the cache for recomputation on next view. Without a schedule, no refresh occurs, so this is a prerequisite.
* Detail: Schedules are set in Schedules > Tasks-e.g., "Daily at 2 AM."
* Option D (The workbook has been viewed recently): Correct.
* Why: Viewing triggers cache recomputation if the data has changed (e.g., post-refresh).
Tableau uses a "lazy caching" model-cache updates only when a user loads the workbook, ensuring fresh results.
* Detail: "Recently" isn't strictly defined but implies post-refresh access.
* Option A (Published in the last month): Incorrect.
* Why: Publish date is irrelevant-cache recomputation ties to data changes and access, not publication timing.
* Option C (All Users group has permission rule allowing access): Incorrect.
* Why: Permissions enable viewing, but recomputation requires actual access (viewing) and a refresh event, not just potential access.
Why This Matters: Caching balances performance and freshness-understanding triggers prevents stale data surprises.
Reference: Tableau Server Documentation - "Caching and Performance" (https://help.tableau.com/current
/server/en-us/perf_cache.htm).
NEW QUESTION # 37
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