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Salesforce Analytics-Admn-201 시험요강:

주제
소개

주제 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.

주제 2

• 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.

주제 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.

주제 4

• 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.

주제 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.

 

최신 Salesforce Administrator Analytics-Admn-201 무료샘플문제 (Q17-Q22):

질문 # 17
A user receives an error after attempting to run an extract refresh on the Tableau Server. What should you review to identify the cause of the problem?

• A. The UNC path to the extract's data source
• B. Whether the project permissions are set to Locked to the project
• C. The Background Tasks for Extracts administrative view on the site status page
• D. The status of the Backgrounder process, as shown by the tsm status -v command

정답：C

설명：
When an extract refresh fails on Tableau Server, troubleshooting requires identifying the root cause-e.g., connectivity issues, resource constraints, or configuration errors. The Backgrounder process handles extract refreshes, so it's a key focus, but the best diagnostic tool depends on granularity and context. Let's explore this thoroughly:
* Extract Refresh Process:
* An extract refresh pulls data from a source (e.g., database, file) into a .hyper file stored on Tableau Server.
* The Backgrounder executes these tasks based on schedules or manual triggers.
* Errors could stem from: database connectivity, credentials, file access, resource overload, or task misconfiguration.
* Option B (Background Tasks for Extracts administrative view): Correct. This is the most direct and detailed method:
* Location: In the Tableau Server web UI, go to Server > Status > Background Tasks for Extracts (or site-specific under Site > Status).
* Details Provided:
* Task name, schedule, and workbook/data source.
* Start/end times and status (e.g., Failed, Success).
* Error messages (e.g., "Cannot connect to database," "Permission denied").
* Why It's Best: It pinpoints the exact failure (e.g., "timeout," "invalid credentials") for the specific refresh, offering actionable insights without needing to dig through logs manually. Server or site administrators can access this view to diagnose issues quickly.
* Example: If the error is "Database login failed," you'd check credentials in the data source settings next.
* Option A (Status of the Backgrounder process via tsm status -v): Partially useful but insufficient:
* What It Shows: Running/stopped status of all processes (e.g., "Backgrounder: RUNNING").
* Limitation: It confirms if Backgrounder is operational but doesn't reveal why a specific task failed-no error details or task-level granularity.
* Use Case: If Backgrounder is stopped or crashed, this might indicate a broader issue, but the question implies a single refresh error, not a server-wide failure.
* Option C (The UNC path to the extract's data source): Relevant but secondary:
* Context: If the data source is a file (e.g., CSV on a network share), the UNC path (e.g.,
servershareile.csv) must be accessible.
* Why Not First: The error could be unrelated (e.g., database issue, not file-based). The admin view (B) would reveal if it's a path issue first, guiding you to check the UNC path only if indicated (e.g., "File not found").
* Practical Note: Backgrounder needs share permissions and the Run As account must access it- checking this without context wastes time.
* Option D (Whether project permissions are set to Locked): Unlikely cause:
* Permissions Impact: Locked permissions restrict who can edit/view content, not whether an extract refresh runs-that's tied to the data source's connection settings and Backgrounder execution.
* Exception: If the refresh user lacks "Connect" permission to the data source, it might fail, but this is rare (owner/schedule typically has access). The admin view would flag this.
Why This Matters: The Background Tasks view is Tableau's purpose-built tool for extract diagnostics, saving time and reducing guesswork in production environments.
Reference: Tableau Server Documentation - "Administrative Views: Background Tasks for Extracts" (https://help.tableau.com/current/server/en-us/adminview_background_tasks.htm).

 

질문 # 18
Which three data sources support Kerberos delegation with Tableau Server? (Choose three.)

• A. Teradata
• B. SQL Server
• C. SAP HANA
• D. PostgreSQL

정답：A,B,C

설명：
Kerberos delegation allows Tableau Server to pass a user's Kerberos credentials to a data source for seamless authentication (SSO)-let's explore which sources support it:
* Kerberos Overview:
* Used with Active Directory (AD) for SSO in Windows environments.
* Tableau Server delegates the user's ticket to the data source, avoiding embedded credentials.
* Requires:
* Data source support for Kerberos.
* Proper configuration (e.g., SPN, constrained delegation).
* Supported Data Sources: Per Tableau's documentation:
* Option A (Teradata): Correct.
* Details: Supports Kerberos delegation-common in enterprise data warehouses.
* Config: Enable in TSM (tsm authentication kerberos configure) and set SPN for Teradata.
* Option C (SQL Server): Correct.
* Details: Fully supports Kerberos-widely used with AD-integrated SQL Server instances.
* Config: Requires AD setup and "Trustworthy" delegation in SQL Server.
* Option D (SAP HANA): Correct.
* Details: Supports Kerberos SSO via delegation-popular in SAP ecosystems.
* Config: Needs HANA Kerberos setup (e.g., keytab) and Tableau Server integration.
* Option B (PostgreSQL): Incorrect.
* Why: Supports Kerberos authentication natively, but Tableau Server doesn't enable delegation to PostgreSQL-users must embed credentials or use other methods (e.g., OAuth).
Why This Matters: Kerberos delegation enhances security by avoiding stored passwords-knowing supported sources ensures SSO feasibility.
Reference: Tableau Server Documentation - "Kerberos Delegation" (https://help.tableau.com/current/server
/en-us/kerberos_delegation.htm), "Supported Connectors" (https://help.tableau.com/current/server/en-us
/datasource.htm).

 

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

• A. Tableau Server browser interface
• B. REST API
• C. tsm customize
• D. tabcmd

정답：A,B,D

설명：
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).

 

질문 # 20
A user reports that a newly-published workbook runs slowly. What should you ask the user first to investigate the problem?

• A. Does it run any faster in Tableau Desktop?
• B. How many times have you opened the workbook in Tableau Server?
• C. Did you enable caching on the workbook?
• D. Does the workbook always run slowly or does performance vary?

정답：A

설명：
When a user reports slow performance for a newly-published workbook on Tableau Server, troubleshooting requires isolating the cause-e.g., data source issues, server load, workbook design, or caching. The first question should establish a baseline to narrow the scope. Let's analyze this step-by-step with depth:
* Performance Context:
* A workbook's speed depends on:
* Data Source: Query complexity, size, network latency (e.g., database vs. extract).
* Workbook Design: Filters, calculations, dashboard complexity.
* Server Resources: VizQL rendering, Backgrounder load, caching.
* "Newly-published" implies it's not yet optimized or cached on the server.
* Option A (Does it run any faster in Tableau Desktop?): Correct.
* Why First: Comparing Desktop vs. Server performance is the most foundational diagnostic step:
* Desktop Baseline: If it's slow in Desktop (local machine), the issue likely lies in the workbook (e.g., complex queries, large data) or data source (e.g., slow database)-not Server-specific.
* Server Difference: If it's fast in Desktop but slow on Server, the problem could be server- side (e.g., resource contention, network latency to the data source from Server).
* Practical Next Steps:
* Slow in Desktop: Optimize workbook (e.g., simplify calcs, use extracts).
* Fast in Desktop: Check Server (e.g., caching, VizQL load).
* Why Critical: Establishes whether the issue is inherent to the workbook/data or introduced by Server-guides all further investigation.
* Option B (Does the workbook always run slowly or does performance vary?): Useful but secondary.
* Why Not First: Variability (e.g., slow at peak times) points to server load, but without a Desktop baseline, you can't rule out workbook design. It's a follow-up question after A.
* Detail: Variability might suggest caching or concurrent user impact, but it assumes Server-side causation prematurely.
* Option C (How many times have you opened the workbook in Tableau Server?): Less relevant initially.
* Why Not First: Frequency of access might affect caching (first load is slower, subsequent loads faster), but it's too specific and doesn't isolate Desktop vs. Server. It's a niche follow-up.
* Option D (Did you enable caching on the workbook?): Misleading and incorrect.
* Why Not First: Caching is server-managed (e.g., VizQL cache settings via tsm data-access caching set), not a user-toggle per workbook. Users don't "enable" it-admins do. Plus, it's premature without a baseline.
Why This Matters: Starting with Desktop performance cuts through assumptions, pinpointing whether the root cause is client-side (workbook/data) or server-side-essential for efficient resolution in production.
Reference: Tableau Server Documentation - "Troubleshoot Performance" (https://help.tableau.com/current
/server/en-us/troubleshoot_performance.htm).

 

질문 # 21
What are two intervals when Tableau Server verifies if data conditions for data-driven alerts are true? (Choose two.)

• A. Whenever extracts in the related workbook are refreshed
• B. Every 10 minutes
• C. Every 60 minutes
• D. Whenever a new extract is published

정답：A,C

설명：
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).

 

질문 # 22
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