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Salesforce Analytics-Admn-201 Exam Syllabus Topics:
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Salesforce Certified Tableau Server Administrator Sample Questions (Q34-Q39):
NEW QUESTION # 34
What are two intervals when Tableau Server verifies if data conditions for data-driven alerts are true? (Choose two.)
- A. Every 10 minutes
- B. Every 60 minutes
- C. Whenever extracts in the related workbook are refreshed
- D. Whenever a new extract is published
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 # 35
Which two types of content can you include in comments on a visualization? (Choose two.)
- A. Text
- B. Images (jpg, png)
- C. Interactive snapshots of a view
- D. @mentions
Answer: A,D
Explanation:
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.
Reference: Tableau Server Documentation - "Comment on a View" (https://help.tableau.com/current/server
/en-us/comment.htm).
NEW QUESTION # 36
What is the minimum hardware recommendation for a single-node production installation of Tableau Server?
- A. 8-Core CPU (2.0 GHz or higher), 32 GB RAM, 50 GB free disk space
- B. 4-Core CPU (2.0 GHz or higher), 64 GB RAM, 50 GB free disk space
- C. 2-Core CPU (1.8 GHz or higher), 8 GB RAM, 15 GB free disk space
- D. 4-Core CPU (2.0 GHz or higher), 16 GB RAM, 50 GB free disk space
Answer: A
Explanation:
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.
Let's break it down:
* 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).
* Option A (4-Core, 16 GB RAM, 50 GB): Incorrect. Too low for production-4 cores and 16 GB RAM are below the threshold for reliable performance under load.
* Option B (2-Core, 8 GB RAM, 15 GB): Incorrect. This is for non-production (e.g., trial) setups, insufficient for production stability.
* Option D (4-Core, 64 GB RAM, 50 GB): Incorrect. 4 cores are inadequate, though 64 GB RAM exceeds the minimum (32 GB).
Why This Matters: Under-spec hardware can lead to slow performance, failed refreshes, or crashes in production-adhering to the minimum ensures stability.
Reference: Tableau Server Documentation - "Minimum Hardware Recommendations" (https://help.tableau.
com/current/server/en-us/requirements.htm).
NEW QUESTION # 37
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 status of the Backgrounder process, as shown by the tsm status -v command
- B. The UNC path to the extract's data source
- C. The Background Tasks for Extracts administrative view on the site status page
- D. Whether the project permissions are set to Locked to the project
Answer: C
Explanation:
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).
NEW QUESTION # 38
What command should you run to update the automatically-generated secrets that are created during a Tableau Server installation?
- A. tsm licenses refresh
- B. tsm security regenerate-internal-tokens
- C. tsm data-access caching set -r 1
- D. tsm security validate-asset-keys
Answer: B
Explanation:
Tableau Server uses internal secrets (tokens) for secure communication between its processes (e.g., Repository, File Store). These are automatically generated during installation and can be regenerated if compromised or for security maintenance. The command to update these is:
* tsm security regenerate-internal-tokens: This regenerates the internal security tokens, ensuring all processes use the new tokens after a restart.
* Option C (tsm security regenerate-internal-tokens): Correct. This is the documented command for updating internal secrets.
* Option A (tsm data-access caching set -r 1): Incorrect. This command configures caching behavior, not security tokens.
* Option B (tsm licenses refresh): Incorrect. This refreshes license data, unrelated to internal secrets.
* Option D (tsm security validate-asset-keys): Incorrect. This validates encryption keys for assets, not internal tokens.
Reference: Tableau Server Documentation - "Regenerate Internal Tokens" (https://help.tableau.com/current
/server/en-us/cli_security.htm#regenerate-internal-tokens).
NEW QUESTION # 39
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