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| Section | Weight | Objectives |
|---|---|---|
| Day-to-Day Administration | 24% | - Content management
|
| Installation and Configuration | 26% | - Identity and security integration
|
| Troubleshooting and Monitoring | 15% | - Monitoring and logging
|
| Tableau Server Architecture and Fundamentals | 20% | - Server components and topology
|
| Migration and Upgrade | 15% | - Migration scenarios
|
>> Analytics-Admn-201 Prüfungsaufgaben <<
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74. Frage
A user reports that a newly-published workbook runs slowly. What should you ask the user first to investigate the problem?
Antwort: D
Begründung:
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).
75. Frage
What are two intervals when Tableau Server verifies if data conditions for data-driven alerts are true? (Choose two.)
Antwort: B,D
Begründung:
Data-driven alerts notify users when data meets conditions (e.g., sales > $10K). Let's examine when Tableau checks these:
Alert Mechanics:
Enabled per site (Settings > General > Data-Driven Alerts). Backgrounder evaluates conditions against extract data. Check Intervals: Configurable via tsm configuration set -k dataAlerts.checkIntervalInMinutes (default:
60 minutes).
Refresh Trigger: Also checks post-extract refresh for immediate updates.
Option A (Every 60 minutes): Correct.
Details: Default interval--Backgrounder polls every hour to evaluate alert conditions.
Config: Adjustable (e.g., -v 30 for 30 minutes).
Option D (Whenever extracts in the related workbook are refreshed): Correct. Details: An extract refresh updates the data, triggering an immediate alert check to catch changes promptly.
Why: Ensures timely notifications without waiting for the next poll.
76. Frage
What type of information is stored in the tsm maintenance backup -f <filename>.tsbak command?
Antwort: C
Begründung:
The tsm maintenance backup command creates a backup file (with a .tsbak extension) that captures critical data needed to restore Tableau Server in case of failure or migration. This backup primarily includes:
Repository data: This encompasses the PostgreSQL database, which stores metadata such as workbooks, data sources, user information, permissions, schedules, and subscriptions.
Configuration data: This includes server settings like authentication methods, port configurations, and service layouts, but it does not include topology data as a separate entity (topology is part of the configuration).
The command does not back up the following:
Extract files (stored in the File Store), which must be backed up separately if needed. Log files, which are archived using tsm maintenance ziplogs.
77. Frage
You have an installation of Tableau Server and a site that are configured to use default settings.
What should you do to ensure that the users on the site can set up data-driven alerts?
Antwort: D
Begründung:
Data-driven alerts in Tableau Server allow users to receive notifications when data in a view meets certain conditions (e.g., a sales metric exceeds a threshold). By default, this feature is disabled for a site unless explicitly enabled by an administrator.
Option C (Change the data-driven alerts setting on the new site's Settings page): This is the correct answer. In the Tableau Server web interface, a site administrator can navigate to the site's Settings > General page and enable the option "Let users create data-driven alerts." This must be done manually because the default setting for a new site is disabled. Once enabled, users with appropriate permissions (e.g., Viewer, Explorer, or Creator roles) can create alerts on views they have access to.
78. Frage
Which process must be running on at least one node for users to load views in a browser?
Antwort: A
Begründung:
The VizQL Server process renders and interacts with visualizations, generating the actual view content displayed to users. Backgrounder handles scheduled/background tasks, File Store manages extract storage, and Search and Browse indexes content for search -- none of these render the visual output itself.
79. Frage
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