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Salesforce Analytics-Admn-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 4
  • 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 5
  • 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.

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Salesforce Certified Tableau Server Administrator Sample Questions (Q51-Q56):

NEW QUESTION # 51
What should you use to set a preferred active repository?

Answer: D

Explanation:
Tableau Server uses a PostgreSQL database as its repository to store metadata, user information, and permissions. In a high-availability (HA) setup with multiple nodes, there are typically two repository instances: one active and one passive. The "preferred active repository" refers to designating which repository instance should take priority as the active one. This is managed through Tableau Services Manager (TSM).
The correct method to set the preferred active repository is by using the tsm configuration set command. Specifically, you would use a command like:
tsm configuration set -k pgsql.preferred_host -v <hostname>
This command allows an administrator to specify the preferred host for the active repository, ensuring control over which node takes precedence in an HA environment.


NEW QUESTION # 52
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).
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.


NEW QUESTION # 53
Which Tableau Server process performs the role of a database for metadata?

Answer: C

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 # 54
Several Tableau Server users published workbooks that have large extracts. After several weeks of use, the users abandoned the workbooks. What should you do to identify the abandoned workbooks?

Answer: A

Explanation:
Abandoned workbooks--those no longer actively used--can clutter Tableau Server and consume resources (e.g., disk space for extracts). Identifying them efficiently requires leveraging built-in administrative tools rather than manual or destructive methods. Let's explore this in depth:
Tableau Server Admin Views: Tableau provides pre-built administrative views to monitor server health, usage, and content. The Stale Content view, accessible under Server > Status > Administrative Views, is specifically designed to identify content (workbooks, data sources) that hasn't been viewed or modified recently. It shows:
Content name, owner, and project.
Last viewed date and last modified date.
View count over a period.
This view uses Repository data to track usage metrics, making it ideal for spotting abandoned workbooks.
Option A (Use the Stale Content administrative view): Correct. This is the most efficient and non- invasive method. You can filter by last viewed date (e.g., >30 days ago) to identify workbooks with large extracts that users have stopped accessing. From there, you can contact owners or delete the content if policy allows. It's a server administrator's go-to tool for content management.


NEW QUESTION # 55
What is the minimum hardware recommendation for a single-node production installation of Tableau Server?

Answer: A

Explanation:
Tableau Server's minimum hardware recommendations for a production single-node deployment ensure reliable performance for small to medium workloads. As of the latest documentation:
CPU: 8 cores (2.0 GHz or higher) to handle concurrent users, rendering, and background tasks.
RAM: 32 GB to support in-memory processing (e.g., VizQL, Data Engine) and caching. Disk Space: 50 GB free for installation, logs, extracts, and temporary files.
Option C (8-Core CPU, 32 GB RAM, 50 GB free disk space): Correct. This matches Tableau's official minimum for production:
8 cores ensure sufficient parallelism for processes like Backgrounder and VizQL. 32 GB RAM supports multiple users and extract refreshes. 50 GB disk space accommodates growth (initial install is ~1-2 GB, but logs and extracts expand).


NEW QUESTION # 56
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