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| Section | Objectives |
|---|---|
| Troubleshooting and Optimization | - Common server issues and resolution - Performance tuning strategies |
| Security and Permissions | - Permission models and roles - Row-level security - Authentication methods (SAML, Active Directory, etc.) |
| Server Architecture and Administration | - Server processes and services management - Tableau Server architecture components - Installation and configuration concepts |
| Server Monitoring and Maintenance | - Performance monitoring and logs - Upgrades and patch management - Backup and restore procedures |
| Data Sources and Extract Management | - Data connections and published data sources - Live vs extract data strategies - Extract refresh scheduling |
| User and Content Management | - Projects, workbooks, and data sources management - Permissions and content governance - User provisioning and authentication |
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NEW QUESTION # 49
What command should you run to update the automatically-generated secrets that are created during a Tableau Server installation?
Answer: B
Explanation:
Tableau Server uses internal secrets (tokens) for secure communication between its processes (e.g., Repository, File Store). These are automatically generated during installation and can be regenerated if compromised or for security maintenance. The command to update these is:
* tsm security regenerate-internal-tokens: This regenerates the internal security tokens, ensuring all processes use the new tokens after a restart.
* Option C (tsm security regenerate-internal-tokens): Correct. This is the documented command for updating internal secrets.
* Option A (tsm data-access caching set -r 1): Incorrect. This command configures caching behavior, not security tokens.
* Option B (tsm licenses refresh): Incorrect. This refreshes license data, unrelated to internal secrets.
* Option D (tsm security validate-asset-keys): Incorrect. This validates encryption keys for assets, not internal tokens.
Reference: Tableau Server Documentation - "Regenerate Internal Tokens" (https://help.tableau.com/current
/server/en-us/cli_security.htm#regenerate-internal-tokens).
NEW QUESTION # 50
Which two types of content can you include in comments on a visualization? (Choose two.)
Answer: A,D
Explanation:
Comments on Tableau Server visualizations facilitate collaboration. Let's explore what's supported:
* Comments Feature: Enabled per site (Settings > General > Allow Comments). Users with "Add Comment" permission can post on views.
* Option B (Text): Correct.
* Details: The primary content type-users type free-form text in the comment box.
* Use: Notes, questions, or feedback (e.g., "Sales spiked here-why?").
* Option C (@mentions): Correct.
* Details: Typing @username notifies the mentioned user via email or the UI (if notifications are enabled).
* Use: Directs comments to specific people (e.g., "@John, check this trend").
* Option A (Interactive snapshots of a view): Incorrect.
* Details: Snapshots (static images) aren't supported in comments-users must take screenshots externally and can't embed them interactively.
* Option D (Images - jpg, png): Incorrect.
* Details: No attachment or image embedding in comments-text and mentions only. Workaround:
Link to an image hosted elsewhere.
Why This Matters: Comments enhance teamwork, but their simplicity (text + mentions) keeps the interface lightweight and focused.
Reference: Tableau Server Documentation - "Comment on a View" (https://help.tableau.com/current/server
/en-us/comment.htm).
NEW QUESTION # 51
What should you do to ensure that server tasks associated with a particular schedule run one-at- a- time?
Answer: C
NEW QUESTION # 52
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: C
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.
NEW QUESTION # 53
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 # 54
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