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Salesforce Analytics-Admn-201 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Tableau Server Administrator
Exam Number:ANALYTICS-ADMIN-201
Available Languages:English
Passing Score:65%
Related Certifications:Salesforce Certified Administrator
Exam Duration:90 minutes
Real Exam Qty:60
Exam Format:Multiple-choice, Multiple-select
Exam Price:$200 USD
Sample Questions:Salesforce Analytics-Admn-201 Sample Questions
Exam Way:Online proctored or test center
Pre Condition:Experience with Tableau Server and system administration recommended
Official Syllabus URL:https://trailhead.salesforce.com/en/credentials/analyticsadministrator

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Salesforce Analytics-Admn-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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
  • 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 (Q18-Q23):

NEW QUESTION # 18
What are two intervals when Tableau Server verifies if data conditions for data-driven alerts are true? (Choose two.)

Answer: B,C

Explanation:
Data-driven alerts notify users when data meets conditions (e.g., sales > $10K). Let's examine when Tableau checks these:
* Alert Mechanics:
* Enabled per site (Settings > General > Data-Driven Alerts).
* Backgrounder evaluates conditions against extract data.
* Check Intervals: Configurable via tsm configuration set -k dataAlerts.checkIntervalInMinutes (default: 60 minutes).
* Refresh Trigger: Also checks post-extract refresh for immediate updates.
* Option A (Every 60 minutes): Correct.
* Details: Default interval-Backgrounder polls every hour to evaluate alert conditions.
* Config: Adjustable (e.g., -v 30 for 30 minutes).
* Option D (Whenever extracts in the related workbook are refreshed): Correct.
* Details: An extract refresh updates the data, triggering an immediate alert check to catch changes promptly.
* Why: Ensures timely notifications without waiting for the next poll.
* Option B (Every 10 minutes): Incorrect.
* Why: Not the default-possible via config, but not standard.
* Option C (Whenever a new extract is published): Incorrect.
* Why: Publishing creates the extract; alerts trigger on refreshes or polling, not initial publication.
Why This Matters: Timing affects alert responsiveness-balancing frequency and server load is key.
Reference: Tableau Server Documentation - "Data-Driven Alerts" (https://help.tableau.com/current/server/en- us/data_alerts.htm).


NEW QUESTION # 19
Which three methods should an administrator use to create a Tableau Server group or project? (Choose three.)

Answer: A,B,D

Explanation:
Tableau Server provides multiple methods to create groups (collections of users) and projects (content containers), catering to UI, CLI, and programmatic needs. Let's dissect each option with depth:
* Option B (Tableau Server browser interface): Correct.
* Groups: Go to Users > Groups > Add Group, name it, and optionally sync with Active Directory.
* Projects: Go to Content > Projects > New Project, set name, description, and permissions.
* Details: The web UI is intuitive, requiring server/site administrator rights. It's ideal for manual, ad-hoc creation with immediate visibility.
* Permissions: For projects, you can set default permissions or lock them here.
* Option C (tabcmd): Correct.
* Groups: tabcmd creategroup "GroupName" creates a local group. Add users with tabcmd addusers "GroupName" --users "user1,user2".
* Projects: tabcmd createproject -n "ProjectName" -d "Description" creates a project.
* Details: tabcmd is a command-line tool for batch operations or scripting (e.g., automating group
/project setup). It requires a server admin login (tabcmd login).
* Limitation: No AD sync via tabcmd-that's UI or REST API territory.
* Option D (REST API): Correct.
* Groups: Use the POST /api/api-version/sites/site-id/groups endpoint with a payload (e.g.,
{"group": {"name": "GroupName"}}). Supports AD import too.
* Projects: Use POST /api/api-version/sites/site-id/projects (e.g., {"project": {"name":
"ProjectName", "description": "Desc"}}).
* Details: The REST API is programmatic, ideal for integration with external systems or bulk automation. Requires authentication via a token and server/site admin rights.
* Power: Offers full control, including nested projects and custom permissions.
* Option A (tsm customize): Incorrect.
* Purpose: tsm customize modifies TSM UI branding (e.g., logos, colors) via commands like tsm customize --logo "path/to/logo.png".
* Why Wrong: It's unrelated to creating groups or projects-it's for cosmetic server configuration, not content/user management.
Why This Matters: Offering UI, CLI, and API options ensures flexibility-manual for small tasks, automation for scale-critical in enterprise deployments.
Reference: Tableau Server Documentation - "Manage Groups" (https://help.tableau.com/current/server/en-us
/groups_create.htm), "Manage Projects" (https://help.tableau.com/current/server/en-us/projects_create.htm),
"tabcmd Commands" (https://help.tableau.com/current/server/en-us/tabcmd_cmd.htm), "REST API Reference" (https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_ref.htm).


NEW QUESTION # 20
What two events must occur for Tableau Server to recompute queries for a workbook cache after a scheduled refresh? (Choose two.)

Answer: C,D

Explanation:
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).
* Evaluation:
* 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.
* Option A (Published in the last month): Incorrect.
* Why: Publish date is irrelevant-cache recomputation ties to data changes and access, not publication timing.
* Option C (All Users group has permission rule allowing access): Incorrect.
* Why: Permissions enable viewing, but recomputation requires actual access (viewing) and a refresh event, not just potential access.
Why This Matters: Caching balances performance and freshness-understanding triggers prevents stale data surprises.
Reference: Tableau Server Documentation - "Caching and Performance" (https://help.tableau.com/current
/server/en-us/perf_cache.htm).


NEW QUESTION # 21
What should you do to ensure that server tasks associated with a particular schedule run one-at-a-time?

Answer: C

Explanation:
In Tableau Server, schedules manage tasks such as extract refreshes and subscriptions. The execution mode of a schedule determines how tasks within that schedule are processed by the Backgrounder process:
* Parallel: Tasks run simultaneously (up to the Backgrounder's capacity), which is the default setting.
* Serial: Tasks run one-at-a-time in sequence, ensuring that one task completes before the next begins.
To ensure tasks associated with a particular schedule run one-at-a-time, you must configure the schedule's execution mode to Serial. This is done in the Tableau Server web interface:
* Go to Schedules.
* Select the schedule, click Actions > Edit Schedule.
* Under Execution, choose Serial instead of Parallel.
* Option A (Set Execution to Serial): Correct. This directly addresses the requirement by forcing tasks to execute sequentially.
* Option B (Set Default priority to 0): Incorrect. Priority (1-100) determines the order of task execution across all schedules, not whether tasks run one-at-a-time within a single schedule. Also, 0 is not a valid priority value (minimum is 1).
* Option C (Set Frequency to Hourly): Incorrect. Frequency (e.g., hourly, daily) controls when the schedule runs, not how tasks within it are executed.
* Option D (Set Execution to Parallel): Incorrect. Parallel execution allows tasks to run simultaneously, which contradicts the requirement.
Reference: Tableau Server Documentation - "Create or Modify a Schedule" (https://help.tableau.com/current
/server/en-us/schedule_manage_create.htm).


NEW QUESTION # 22
What Tableau Server authentication method should you configure to use OpenID Connect?

Answer: B

Explanation:
Tableau Server supports multiple authentication methods, including Local Authentication, Active Directory, Kerberos, SAML, and OpenID Connect. OpenID Connect (OIDC) is an identity layer built on OAuth 2.0, commonly used for single sign-on (SSO). In Tableau Server, OIDC is implemented as a variant of SAML (Security Assertion Markup Language) authentication because both are SSO protocols managed through the same configuration workflow.
To use OpenID Connect:
* Configure Tableau Server for SAML/SSO.
* Provide an OIDC-compatible identity provider (IdP) configuration (e.g., Google, Okta).
* Set up the IdP metadata and certificates in TSM.
* Option D (SAML): Correct. Tableau Server treats OIDC as a subset of its SAML authentication framework, so you configure it under the SAML settings in TSM.
* Option A (Local Authentication): Incorrect. Local Authentication uses Tableau's internal user database, not an external SSO protocol like OIDC.
* Option B (Kerberos): Incorrect. Kerberos is a network authentication protocol for Windows environments, unrelated to OIDC.
* Option C (Active Directory): Incorrect. AD uses LDAP or Kerberos, not OIDC, for authentication.
Reference: Tableau Server Documentation - "Configure SAML and OpenID Connect" (https://help.tableau.
com/current/server/en-us/saml_config.htm).


NEW QUESTION # 23
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