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你想参加Salesforce的Analytics-Admn-201认证考试吗？你身边肯定有很多人参加过这个考试了吧？因为这是一个很重要的考试，如果取得这个考试的认证资格，你将可以得到很多的好处。那麼，你想別人請教怎樣通過考試的方法了嗎？準備考試的方法有很多種，但是最高效的方法是用一個好的工具。那麼對你來說什麼才是好的工具呢？當然是Testpdf的Analytics-Admn-201考古題了。
問題 #32
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?
答案：A
解題說明：
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).
問題 #33
What should you use to set a preferred active repository?
答案：B
解題說明：
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.
問題 #34
Which three types of authentications can you use to implement single-sign-on (SSO) authentication to Tableau Server? (Choose three.)
答案：A,C,D
解題說明：
Single Sign-On (SSO) allows users to authenticate once (e.g., via a corporate identity provider) and access Tableau Server without re-entering credentials. Tableau Server supports several SSO methods:
OpenID Connect (OIDC): An OAuth 2.0-based protocol for SSO, configured via Tableau's SAML settings with an OIDC-compatible IdP (e.g., Google, Okta). Kerberos with Active Directory: A ticket-based SSO protocol, widely used in Windows environments with AD integration.
SAML: A flexible SSO standard using XML assertions, supporting various IdPs (e.g., ADFS, PingFederate).
Option A (OpenID Connect): Correct. OIDC is an SSO method, implemented as a SAML variant in Tableau Server, enabling seamless login.
Option C (Kerberos with Active Directory): Correct. Kerberos provides SSO in AD environments, delegating authentication to the domain controller.
Option D (Security Assertion Markup Language - SAML): Correct. SAML is a core SSO method in Tableau, widely adopted for enterprise integrations.
問題 #35
A user named John publishes a workbook named Sales Quota to a project named Sales. The All Users group has the View and Download Workbook/Save As capabilities only to the Sales project. A user named Sandy has the Explorer (can publish) site role, on the Sales Quota workbook. No other users or groups have permissions to the Sales project. The Sales project is set to Managed by the owner. What are the effective rights for Sandy?
答案：A
問題 #36
Which two statements are advantages of published data sources in comparison to embedded data sources?
(Choose two.)
答案：B,C
解題說明：
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).
問題 #37
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