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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Tableau Server Administrator |
| Exam Number: | ANALYTICS-ADMIN-201 |
| Real Exam Qty: | 60 |
| Related Certifications: | Salesforce Certified Administrator |
| Passing Score: | 65% |
| Available Languages: | English |
| Exam Format: | Multiple-choice, Multiple-select |
| Exam Duration: | 90 minutes |
| 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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26. Frage
What is the minimum hardware recommendation for a single-node production installation of Tableau Server?
Antwort: B
Begründung:
Tableau Server's minimum hardware recommendations for a production single-node deployment ensure reliable performance for small to medium workloads. As of the latest documentation:
CPU: 8 cores (2.0 GHz or higher) to handle concurrent users, rendering, and background tasks.
RAM: 32 GB to support in-memory processing (e.g., VizQL, Data Engine) and caching. Disk Space: 50 GB free for installation, logs, extracts, and temporary files.
Option C (8-Core CPU, 32 GB RAM, 50 GB free disk space): Correct. This matches Tableau's official minimum for production:
8 cores ensure sufficient parallelism for processes like Backgrounder and VizQL. 32 GB RAM supports multiple users and extract refreshes. 50 GB disk space accommodates growth (initial install is ~1-2 GB, but logs and extracts expand).
27. Frage
An administrator wants to add a second node to an existing Tableau Server cluster. What must be true of the second node before installation begins?
Antwort: C
Begründung:
Adding a node requires generating a bootstrap file (tsm topology nodes get-bootstrap-file) on the initial node and copying it to the new node, along with open network communication between nodes on Tableau's required ports. Hardware need not match exactly, PostgreSQL is installed as part of the Tableau Server package (not a prerequisite), and mixed operating systems are not supported within a single cluster.
28. Frage
You attempt to delete a user who owns content on a Tableau Server. What is the result of the delete action?
Antwort: B
Begründung:
Deleting a user in Tableau Server involves handling their owned content (workbooks, data sources)-let's analyze the process:
* Deletion Rules:
* Ownership Check: Tableau prevents deletion if the user owns content to avoid orphaning it.
* Action: Instead of deleting, the user's site role is set to Unlicensed, retaining their account and content ownership.
* Resolution: An admin must reassign ownership (e.g., via Users > Actions > Change Owner) before deletion.
* Option D (User switched to Unlicensed and NOT deleted): Correct.
* Details: Attempting deletion (e.g., Users > Select User > Actions > Delete) triggers a check. If content exists, the user becomes Unlicensed-still in the system but unable to log in.
* Why: Protects data integrity-content remains accessible for reassignment.
* Option A (Deleted, content to server admin): Incorrect.
* Why: No automatic reassignment to the server admin-manual action is required first.
* Option B (Deleted, content to project leader): Incorrect.
* Why: Project leaders don't automatically inherit content-no such mechanism exists.
* Option C (User and content deleted): Incorrect.
* Why: Tableau avoids deleting content with the user-too destructive without explicit intent.
Why This Matters: This safeguard prevents accidental data loss, ensuring admins manage ownership transitions deliberately.
Reference: Tableau Server Documentation - "Delete Users" (https://help.tableau.com/current/server/en-us
/users_delete.htm).
29. Frage
Which command enables an administrator to view the current values of all TSM configuration keys?
Antwort: D
Begründung:
tsm configuration list outputs all currently configured keys and their values. tsm configuration get - k requires a specific key name (not "all" as a wildcard), and "tsm settings show" is not a valid command.
30. Frage
A user reports that a newly-published workbook runs slowly. What should you ask the user first to investigate the problem?
Antwort: C
Begründung:
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).
31. Frage
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