早速ダウンロードSalesforce Analytics-Admn-201日本語試験情報は主要材料 &人気のあるAnalytics-Admn-201: Salesforce Certified Tableau Server Administrator

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Salesforce Analytics-Admn-201 認定試験の出題範囲：

トピック	出題範囲
トピック 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.
トピック 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.
トピック 3	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.
トピック 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.
トピック 5	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.

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Salesforce Certified Tableau Server Administrator 認定 Analytics-Admn-201 試験問題 (Q25-Q30):

質問 # 25
Which three items can be contained in a project? (Choose three.)

A. Data Sources
B. Workbooks
C. Nested Projects
D. Groups

正解：A、B、C

解説：
In Tableau Server, projects are containers for organizing and securing content. They help manage permissions and structure content hierarchically. Let's define what can be contained:
* Workbooks: Visualizations and dashboards published to the Server.
* Data Sources: Published connections or extracts reusable across workbooks.
* Nested Projects: Sub-projects within a parent project, introduced in later versions (e.g., 2018.2) for deeper organization.
* Option B (Workbooks): Correct. Workbooks are the primary content type in projects, containing views and dashboards.
* Option C (Nested Projects): Correct. Nested projects allow hierarchical structuring (e.g., a "Sales" project with "Q1" and "Q2" sub-projects), with inherited or custom permissions.
* Option D (Data Sources): Correct. Published data sources reside in projects, providing reusable data connections.
* Option A (Groups): Incorrect. Groups are collections of users managed at the site or server level, not stored within projects. Projects contain content, not user entities.
Why This Matters: Projects are key to content governance-knowing what they hold helps administrators organize and secure assets effectively.
Reference: Tableau Server Documentation - "Projects" (https://help.tableau.com/current/server/en-us/projects.
htm).

質問 # 26
An administrator needs to restore Tableau Server to a new machine after a hardware failure.
Which two files are required? (Choose two.)

A. The tsm settings export (JSON) file
B. The .tsbak backup file
C. The server log archive
D. The tabcmd.exe executable

正解：A、B

解説：
A full disaster recovery requires the .tsbak file (containing repository and file store data, created via tsm maintenance backup) and the exported configuration/topology settings file (tsm settings export), which is imported on the new server before restoring the backup. tabcmd and log archives are not part of the restore process.

質問 # 27
What is the minimum required free hard disk space recommended for a Tableau Server installation in production?

A. 32 GB
B. 15 GB
C. 50 GB
D. 64 GB

正解：C

解説：
Tableau Server has specific hardware requirements for production environments to ensure stability and performance. The minimum recommended free disk space for a production installation is 50 GB.
This accounts for:
The installation itself (approximately 1-2 GB).
Space for log files, temporary files, and extracts managed by the File Store and Data Engine.
Room for backups and operational overhead.
The full minimum hardware recommendations for a single-node production deployment are:
8 CPU cores (2.0 GHz or faster).
32 GB RAM.
50 GB free disk space (on the system drive, typically C: on Windows).
Option B (50 GB): Correct. This matches Tableau's official recommendation for production environments.

質問 # 28
What two events must occur for Tableau Server to recompute queries for a workbook cache after a scheduled refresh? (Choose two.)

A. The workbook has upcoming scheduled refresh tasks
B. The workbook was published in the last month
C. The workbook has been viewed recently
D. The All Users group has a permission rule allowing access to the workbook

正解：A、C

解説：
Tableau Server uses caching to speed up workbook loading by storing query results. After a scheduled extract refresh updates the data, the cache may need recomputing--let's dive into the mechanics:
Caching Basics:
VizQL Cache: Stores rendered views and query results for faster access. Refresh Trigger: A scheduled refresh updates the underlying extract (.hyper), but the cache isn't automatically invalidated--it's demand-driven.
Recompute Conditions: Tableau recomputes the cache when the workbook is accessed (viewed) and its data has changed (e.g., via refresh).
Option B (The workbook has upcoming scheduled refresh tasks): Correct. Why: An upcoming refresh task indicates the workbook relies on an extract with a schedule. After the refresh runs, the data changes, priming the cache for recomputation on next view. Without a schedule, no refresh occurs, so this is a prerequisite. Detail: Schedules are set in Schedules > Tasks--e.g.,
"Daily at 2 AM."
Option D (The workbook has been viewed recently): Correct. Why: Viewing triggers cache recomputation if the data has changed (e.g., post-refresh). Tableau uses a "lazy caching" model-- cache updates only when a user loads the workbook, ensuring fresh results. Detail: "Recently" isn't strictly defined but implies post-refresh access.

質問 # 29
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?

A. View all workbooks, and sort by the Modified date
B. Delete all extracts and allow them to be re-generated automatically if they are still in use
C. Use the Stale Content administrative view
D. Examine the extract files in ProgramData/Tableau/Tableau Server/data/tabsvc/dataengine/extract

正解：C

解説：
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.
* Option B (Examine extract files in ProgramData/.../extract): Incorrect and impractical. The ProgramData/Tableau/Tableau Server/data/tabsvc/dataengine/extract directory stores .hyper extract files, but:
* File names are cryptic (e.g., GUIDs), not tied directly to workbook names.
* It doesn't indicate usage or abandonment-only file presence and size.
* Manual inspection is time-consuming and error-prone compared to the Stale Content view.
* Option C (Delete all extracts and allow them to be re-generated): Incorrect and risky. Deleting extracts (e.g., via tsm maintenance cleanup) removes them without identifying usage. Regeneration only occurs if a schedule or user triggers it, potentially disrupting active users and losing historical data unnecessarily.
* Option D (View all workbooks, and sort by the Modified date): Partially effective but inefficient. In the Tableau Server UI (e.g., under Content > Workbooks), you can sort by "Last Modified," but:
* It doesn't show viewership (a workbook might be modified recently but unused).
* It's manual and doesn't scale for large deployments compared to the Stale Content view.
Why This Matters: The Stale Content view leverages Tableau's metadata to provide actionable insights, saving time and reducing risk compared to manual or destructive alternatives. It's part of Tableau's governance toolkit.
Reference: Tableau Server Documentation - "Administrative Views" (https://help.tableau.com/current/server
/en-us/adminview_stale_content.htm).

質問 # 30
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