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Salesforce Analytics-Admn-201 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Tableau Server Administrator
Exam Number:Analytics-Admn-201
Related Certifications:Salesforce Certified Administrator
Available Languages:English
Exam Price:USD $200
Exam Format:Multiple-choice, Multiple-select
Exam Duration:120 minutes
Passing Score:65%
Certificate Validity Period:Valid indefinitely, requires maintenance modules per release cycle
Real Exam Qty:60-65
Recommended Training:Trailhead: Tableau Server Administration
Exam Registration:Salesforce Certification Registration
Sample Questions:Salesforce Analytics-Admn-201 Sample Questions
Exam Way:Online proctored or onsite testing center
Pre Condition:No mandatory prerequisites; 6–12 months of hands-on Tableau Server administration experience recommended
Official Syllabus URL:https://trailhead.salesforce.com/credentials/certification-detail/?certificationId=7013A000002C8dPQAS

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Salesforce Analytics-Admn-201 시험요강:

주제소개
주제 1
  • Installation and Configuration: This section of the exam measures the skills of Server Engineers and covers the process of installing Tableau Server, understanding installation paths, identity store options, SSO integrations, SSL setup, and silent installs. Candidates also need to demonstrate the ability to configure Tableau Server by setting cache, distributing processes, customizing sites, and configuring user quotas. It further includes adding users, managing their roles and permissions, and applying Tableau’s security model at different levels from sites to workbooks.
주제 2
  • Troubleshooting: This section of the exam measures the skills of Support Specialists and covers resolving common Tableau Server issues. Candidates must know how to reset accounts, package logs, validate site resources, rebuild search indexes, and use analysis reports. It also includes understanding the role of browser cookies and creating support requests when needed.
주제 3
  • Connecting to and Preparing Data: This section of the exam measures the skills of Tableau Administrators and covers the basic understanding of Tableau Server’s interface, navigation, and overall topology. Candidates are expected to recognize both client and server components, understand how these interact, and know where to find information about versions, releases, and updates. It also focuses on system requirements, including hardware, operating systems, browsers, email configurations, cloud considerations, and licensing models. Additionally, it examines knowledge of server processes, data source types, network infrastructure, and ports needed for a stable deployment.
주제 4
  • Administration: This section of the exam measures the skills of Tableau Administrators and covers the day-to-day tasks of maintaining Tableau Server. Candidates should understand how to create and manage schedules, subscriptions, backups, and restores, as well as how to use tools such as TSM, Tabcmd, and REST API. It emphasizes monitoring, server analysis, log file usage, and embedding practices. It also includes managing projects, sites, and nested structures, while contrasting end-user and administrator abilities. Knowledge of publishing, web authoring, sharing views, caching, and data source certification is also tested.
주제 5
  • Migration & Upgrade: This section of the exam measures the skills of System Engineers and covers the process of upgrading and migrating Tableau Server environments. Candidates should understand how to carry out clean reinstalls, migrate servers to new hardware, and maintain backward compatibility during the process.

최신 Salesforce Administrator Analytics-Admn-201 무료샘플문제 (Q66-Q71):

질문 # 66
Which two commands are valid and complete commands? (Choose two.)

정답:B,C

설명:
TSM commands manage Tableau Server maintenance--let's validate their syntax:
Command Requirements:
Some need arguments (e.g., file paths); others are standalone.
Valid and Complete: Must work as-is without errors.
Option C (tsm maintenance cleanup): Correct.
Details: Removes temporary files and old logs--no arguments required (optional flags like -l exist).
Use: tsm maintenance cleanup--runs fully.
Option D (tsm maintenance ziplogs): Correct.
Details: Creates a zip of logs (e.g., tsm-logs.zip)--no arguments needed (optional -d for date range).
Use: tsm maintenance ziplogs--complete and valid.


질문 # 67
A user reports that a newly-published workbook runs slowly. What should you ask the user first to investigate the problem?

정답:C

설명:
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).


질문 # 68
Which command is used to initialize a Tableau Server installation after running the setup executable?

정답:A

설명:
After installing the Tableau Server binaries, tsm initialize configures the initial services, sets up the local repository, and starts the server for the first time. tsm register is used afterward to enter licensing/registration information, and tsm status -v simply reports service health -- neither performs initial setup.


질문 # 69
You use Tableau Desktop 10.5 and plan to publish a visualization to a Tableau Server that runs version
2020.1. You are assigned the Creator site role, and Publisher permissions for a project. What statement correctly describes what happens when you attempt to publish the visualization?

정답:A

설명:
Tableau Desktop and Tableau Server have versioning considerations when publishing content, particularly regarding compatibility between older Desktop versions (e.g., 10.5) and newer Server versions (e.g., 2020.1).
Let's break this down step-by-step:
* Version Context: Tableau Desktop 10.5 was released in 2017 and used the .tde (Tableau Data Extract) format for extracts. Tableau Server 2020.1, released in 2020, introduced the .hyper extract format (starting with version 10.5, but fully standardized later). When publishing from an older Desktop version to a newer Server version, Tableau ensures backward compatibility but may upgrade certain components.
* Publishing Process: With a Creator site role and Publisher permissions, you have the rights to publish workbooks to the specified project. Tableau Server accepts workbooks from older Desktop versions (e.
g., 10.5) and upgrades them to the current Server version (2020.1) during publishing. This process is seamless for the workbook itself, but extracts require special handling.
* Extract Handling: If the workbook contains embedded .tde extracts (stored within the .twb or .twbx file), Tableau Server 2020.1 converts these to .hyper format upon publishing. This conversion is necessary because .hyper replaced .tde as the default extract engine starting in Tableau 10.5 and beyond, offering better performance and scalability. During this process, Tableau Desktop or Server displays a warning to inform the user of the upgrade, as it's a one-way conversion (you can't revert to .
tde on the Server).
Now, let's evaluate the options:
* Option A (You will successfully publish without any errors or warnings): Incorrect. While the publishing succeeds, a warning about the .tde to .hyper conversion appears if the workbook contains embedded extracts. Without extracts, no warning occurs, but the question's context implies extracts are likely involved (common in visualizations).
* Option B (Error message: unable to publish to a newer version): Incorrect. Tableau supports publishing from older Desktop versions to newer Server versions. There's no outright error blocking this; compatibility is maintained.
* Option C (Warning: embedded .tde extracts will be upgraded to .hyper): Correct. This is the precise warning displayed when a workbook with .tde extracts is published to a Server version that uses
.hyper. It ensures the user is aware of the format change, which might affect extract refresh schedules or performance expectations.
* Option D (Warning: workbook will be upgraded to a new version): Partially correct but less specific. The workbook is upgraded to 2020.1 compatibility, but the warning focuses on the extract format change (.tde to .hyper), not the workbook version generically. Option C is more accurate.
Why This Matters: The .tde to .hyper shift improves query performance and supports larger datasets, but users need to know about it for planning (e.g., extract refresh schedules might need adjustment). The warning ensures transparency.
Reference: Tableau Server Documentation - "Publish a Workbook" (https://help.tableau.com/current/server
/en-us/publish_workbook.htm) and "Hyper Extract FAQ" (https://help.tableau.com/current/server/en-us
/hyper_faq.htm).


질문 # 70
What should you do to configure the view URL and enable recording for a site that has recording workbook performance metrics enabled?

정답:C

설명:
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.
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.


질문 # 71
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