The Backgrounder process in Tableau Server handles tasks like extract refreshes and subscriptions-let's explore its concurrency:
* Backgrounder Behavior:
* Each instance is single-threaded for task execution-one task at a time per Backgrounder.
* Multiple Backgrounders (e.g., in multi-node setups) increase parallelism, but a single Backgrounder is limited to 1 concurrent task.
* Queue: Additional tasks wait in the queue, prioritized by their priority (1-100).
* Option A (One): Correct.
* Details: A single Backgrounder executes one task (e.g., an extract refresh) until completion before starting the next.
* Config: Add more Backgrounders via TSM (tsm topology set-process -n node1 -pr backgrounder
-c 2) for more concurrency.
* Option B (Two): Incorrect.
* Why: Not natively supported-a single Backgrounder doesn't multi-thread tasks.
* Option C (Three): Incorrect.
* Why: Exceeds the single-threaded design.
* Option D (Unlimited): Incorrect.
* Why: Concurrency is fixed at 1 per instance-resources affect queue processing speed, not simultaneous tasks.
Why This Matters: Understanding Backgrounder limits guides scaling-more instances mean more parallel tasks, critical for heavy workloads.
Reference: Tableau Server Documentation - "Backgrounder Process" (https://help.tableau.com/current/server
/en-us/processes.htm#backgrounder).

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).

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.
Reference: Tableau Server Documentation - "Administrative Views" (https://help.tableau.com/current/server
/en-us/adminview_stale_content.htm).

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.
Reference: Tableau Server Documentation - "Synchronize Active Directory Groups" (https://help.tableau.com
/current/server/en-us/groups_sync.htm).

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).