Pass the Salesforce Salesforce Administrator Analytics-Admn-201 Questions and answers with CertsForce

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.

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.

Option A (tsm maintenance backup): Incorrect.

Why: Requires -f .tsbak (e.g., tsm maintenance backup -f backup.tsbak)—incomplete without it.

Option B (tsm maintenance restore): Incorrect.

Why: Needs -f .tsbak (e.g., tsm maintenance restore -f backup.tsbak)—not standalone.

Why This Matters: Correct syntax ensures maintenance tasks execute without errors—critical for server health.

Comments on Tableau Server visualizations facilitate collaboration. Let’s explore what’s supported:

Comments Feature: Enabled per site (Settings > General > Allow Comments). Users with "Add Comment" permission can post on views.

Option B (Text): Correct.

Details: The primary content type—users type free-form text in the comment box.

Use: Notes, questions, or feedback (e.g., "Sales spiked here—why?").

Option C (@mentions): Correct.

Details: Typing @username notifies the mentioned user via email or the UI (if notifications are enabled).

Use: Directs comments to specific people (e.g., "@John, check this trend").

Option A (Interactive snapshots of a view): Incorrect.

Details: Snapshots (static images) aren’t supported in comments—users must take screenshots externally and can’t embed them interactively.

Option D (Images - jpg, png): Incorrect.

Details: No attachment or image embedding in comments—text and mentions only. Workaround: Link to an image hosted elsewhere.

Why This Matters: Comments enhance teamwork, but their simplicity (text + mentions) keeps the interface lightweight and focused.

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).

Let’s evaluate:

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.

Option B (Local Authentication): Incorrect. Local Authentication uses Tableau’s internal user database, requiring manual credential entry—no SSO support.

Why This Matters: SSO enhances user experience and security by leveraging existing identity systems, reducing password fatigue.

The tsm maintenance backup command creates a backup file (with a .tsbak extension) that captures critical data needed to restore Tableau Server in case of failure or migration. This backup primarily includes:

Repository data: This encompasses the PostgreSQL database, which stores metadata such as workbooks, data sources, user information, permissions, schedules, and subscriptions.

Configuration data: This includes server settings like authentication methods, port configurations, and service layouts, but it does not include topology data as a separate entity (topology is part of the configuration).

The command does not back up the following:

Extract files (stored in the File Store), which must be backed up separately if needed.

Log files, which are archived using tsm maintenance ziplogs.

Option A (Notification settings) is incorrect because while notification settings are part of the configuration data stored in the repository, they are not the primary focus of the backup. The broader category is "repository data."

Option B (SMTP server settings) is also incorrect for the same reason—SMTP settings are configuration data within the repository, but the backup is not limited to just these settings.

Option D (Topology data) is incorrect because topology data (e.g., how services are distributed across nodes) is part of the configuration included in the backup, but it’s not stored as a standalone item. The .tsbak file is centered on the repository database.

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.

When Tableau Server uses Active Directory (AD) for authentication, group synchronization imports AD groups and assigns a minimum site role (e.g., Viewer, Explorer) to users in that group. This ensures users meet a baseline access level. The behavior for existing users during sync is:

If the user’s current site role provides more access than the minimum (e.g., Explorer vs. Viewer), their role remains unchanged.

If the user’s current role provides less access than the minimum (e.g., Unlicensed vs. Viewer), their role is upgraded to the minimum.

This preserves higher privileges while enforcing a floor. “Reduces access” means the minimum role is lower than the current role (e.g., Viewer vs. Explorer), in which case the existing role stays.

Option A (It will change to the minimum site role only if the minimum site role reduces access): Correct. The user’s role changes only if the minimum increases access (e.g., Unlicensed to Viewer); otherwise, it stays higher.

Option B (It will change only if the minimum provides more access): Incorrect wording. This is the inverse of the actual behavior—change occurs when needed to meet the minimum, not to exceed it.

Option C (It will always change): Incorrect. Existing higher roles are preserved.

Option D (It will never change): Incorrect. It changes if the current role is below the minimum.

The VizQL Server process in Tableau Server handles rendering visualizations and processing queries for users viewing dashboards or workbooks. During installation, Tableau Server automatically configures the number of VizQL instances based on the number of processor cores on the machine, following this rule:

Default VizQL instances = 2 per node, unless manually adjusted post-installation.

In multi-node setups, additional instances may be added based on core count, but the question specifies a single server with 16 cores.

The installer does not scale VizQL instances linearly with core count by default (e.g., it doesn’t set 1 instance per 4 cores). Instead:

For a single-node installation, the default is 2 VizQL instances, regardless of core count (assuming the minimum hardware requirements are met: 8 cores, 32 GB RAM).

Administrators can later adjust this using TSM (e.g., tsm topology set-process) based on performance needs, but the question asks for the default configured by the installer.

Option A (4): Incorrect. Four instances might be configured manually for a 16-core server, but it’s not the default.

Option B (6): Incorrect. Six instances exceed the default for a single node.

Option C (10): Incorrect. Ten instances are far beyond the default and would require manual configuration.

Option D (2): Correct. The installer sets 2 VizQL instances by default on a single-node installation.

In a high-availability (HA) Tableau Server setup, the Repository (PostgreSQL) has an active and passive instance. Failover occurs if the active Repository fails. Let’s dive into the process:

HA Setup:

Two Repository instances across nodes (active/passive).

Failover switches to the passive instance if the active one becomes unavailable (e.g., crash, network issue).

Cluster Controller:

Role: Monitors all processes (e.g., Repository, File Store) across nodes, detecting failures via heartbeats and status checks.

Failover Decision: If the active Repository stops responding, Cluster Controller initiates failover, promoting the passive instance to active.

Coordination: Works with Coordination Service (ZooKeeper) to update topology but makes the initial detection call.

Option A (Cluster Controller): Correct.

Why: It’s the watchdog process, constantly monitoring Repository health and triggering failover when needed.

Option B (Coordination Service): Incorrect.

Role: ZooKeeper maintains cluster state and coordinates topology updates post-failover, but doesn’t detect the failure—Cluster Controller does.

Option C (Gateway): Incorrect.

Role: Routes client requests—unrelated to internal process monitoring or failover.

Option D (Backgrounder): Incorrect.

Role: Executes background tasks—no involvement in Repository failover decisions.

Why This Matters: Understanding failover ensures HA reliability—Cluster Controller is the linchpin for resilience.

Trusted Tickets is an authentication method in Tableau Server for embedding views in external applications (e.g., portals) without requiring users to log in manually. Here’s how it works:

A trusted application (e.g., a web server) authenticates with Tableau Server using a trusted IP or username/password.

Tableau Server issues a temporary ticket (a unique string).

The ticket is embedded in a view URL (e.g., /trusted//views/...), granting access to the view for a short period (configurable, default 5 minutes).

Option A (Access embedded views without being prompted for credentials): Correct. Trusted tickets enable SSO-like behavior for embedded content, bypassing the login prompt if the ticket is valid. This is ideal for seamless integration into external systems.

Option B (Encrypt database connections): Incorrect. Encryption is handled by data source configurations (e.g., SSL), not trusted tickets, which focus on user authentication.

Option C (Save and edit workbooks): Incorrect. Trusted tickets grant view access, not edit permissions—those depend on the user’s site role and permissions.

Option D (Embed database credentials): Incorrect. Trusted tickets authenticate users to Tableau Server, not databases—database credentials are managed separately in the data source.

Why This Matters: Trusted tickets simplify embedding Tableau content securely in custom applications, enhancing user experience.