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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
Certificate Validity Period:Valid indefinitely, requires maintenance modules per release cycle
Exam Price:USD $200
Real Exam Qty:60-65
Exam Format:Multiple-choice, Multiple-select
Available Languages:English
Exam Duration:120 minutes
Passing Score:65%
Related Certifications:Salesforce Certified Administrator
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 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 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.
Topic 4
  • 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.
Topic 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.

Salesforce Certified Tableau Server Administrator Sample Questions (Q15-Q20):

NEW QUESTION # 15
What type of information is stored in the tsm maintenance backup -f <filename>.tsbak command?

Answer: B


NEW QUESTION # 16
Which two statements are advantages of published data sources in comparison to embedded data sources?
(Choose two.)

Answer: C,D

Explanation:
In Tableau, data sources can be embedded (stored within a workbook) or published (stored separately on Tableau Server). Let's define these and analyze the advantages:
* Embedded Data Source: The connection details and any extract are bundled in the .twb or .twbx file.
Each workbook manages its own copy.
* Published Data Source: The connection or extract is hosted on Tableau Server, reusable across multiple workbooks.
Now, let's evaluate the options:
* Option C (Centralized data management is easier): Correct. Published data sources allow:
* Single source of truth: One data source can serve multiple workbooks, ensuring consistency.
* Unified updates: Refresh schedules, permissions, and metadata (e.g., calculated fields) are managed in one place via the Server UI.
* Governance: Administrators can control access and monitor usage centrally.In contrast, embedded data sources require individual updates per workbook, leading to duplication and management overhead.
* Option D (Storage space is conserved and resource usage during data refreshes is optimized):
Correct. With published data sources:
* Storage: A single extract on the Server (e.g., a .hyper file) is shared across workbooks, avoiding redundant copies stored in each embedded workbook.
* Refreshes: One refresh job updates the shared extract, reducing CPU and memory usage compared to multiple refreshes for duplicate embedded extracts.Embedded data sources replicate extracts, increasing disk space and refresh load.
* Option A (Data is protected so that it is only available in one workbook): Incorrect. This describes embedded data sources, not published ones. Published data sources are shared, not restricted to one workbook-permissions control access, not exclusivity.
* Option B (Drivers are automatically installed on each client's machine): Incorrect. Drivers (e.g., for SQL Server, PostgreSQL) must be installed on the Server hosting the published data source, not client machines. This is unrelated to the published vs. embedded distinction.
Why This Matters: Published data sources enhance scalability and efficiency in enterprise deployments, making them a cornerstone of Tableau Server's data strategy.
Reference: Tableau Server Documentation - "Published Data Sources" (https://help.tableau.com/current/server
/en-us/datasource_publish.htm).


NEW QUESTION # 17
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?

Answer: B

Explanation:
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).


NEW QUESTION # 18
What two Tableau Services Manager (TSM) processes continue to run when Tableau Server is stopped? (Choose two.)

Answer: C,D

Explanation:
Tableau Server consists of multiple processes managed by TSM. When you stop Tableau Server (e.g., via tsm stop), most application processes halt, but some TSM-specific processes remain active to manage the server's infrastructure. Let's examine each:
TSM Processes: These include the Administration Controller, Administration Agent, and License Manager, which handle configuration, monitoring, and licensing. Application Processes: These include VizQL Server, Backgrounder, Data Server, etc., which deliver Tableau's core functionality and stop when the server is stopped.
When tsm stop is executed:
The Administration Controller (port 8850) continues running to manage TSM operations (e.g., restarts, status checks).
The License Manager remains active to validate licenses and ensure compliance, even when the server is offline.
Application processes like VizQL Server and Backgrounder shut down, as they're tied to user- facing services.
Option B (License Manager): Correct. It persists to handle licensing tasks, ensuring the server can restart without license issues.
Option D (Administration Controller): Correct. It's the core TSM process, always running to accept commands and manage the server state.


NEW QUESTION # 19
Which Tableau Server process performs the role of a database for metadata?

Answer: D

Explanation:
Tableau Server relies on several processes to function, each with a specific role. The Repository process (powered by PostgreSQL) serves as the database for metadata, storing critical information such as:
* User and group details.
* Permissions and site configurations.
* Workbook and data source metadata (e.g., schedules, subscriptions).
* Option B (Repository): Correct. The Repository is the centralized database that holds all metadata, making it the backbone of Tableau Server's content management. There are typically two instances in an HA setup (one active, one passive), monitored by the Cluster Controller.
* Option A (Data Engine): Incorrect. The Data Engine manages in-memory data processing and extract storage (e.g., .hyper files), not metadata. It's separate from the Repository.
* Option C (Backgrounder): Incorrect. The Backgrounder handles background tasks like extract refreshes and subscriptions, but it doesn't store metadata-it interacts with the Repository to retrieve task details.
* Option D (File Store): Incorrect. The File Store manages physical extract files and workbook assets, not metadata, which is stored in the Repository.
Reference: Tableau Server Documentation - "Tableau Server Processes" (https://help.tableau.com/current
/server/en-us/processes.htm).


NEW QUESTION # 20
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