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Salesforce Certified Tableau Server Administrator Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which three data sources support Kerberos delegation with Tableau Server? (Choose three.)

Answer: B,C,D

Explanation:
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).


NEW QUESTION # 54
Which two types of content can you include in comments on a visualization? (Choose two.)

Answer: B,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 # 55
Which two statements are advantages of published data sources in comparison to embedded data sources?
(Choose two.)

Answer: A,B

Explanation:
In Tableau, data sources can be embedded (stored within a workbook) or published (stored separately on Tableau Server). Let's define these and analyze the advantages:
* Embedded Data Source: The connection details and any extract are bundled in the .twb or .twbx file.
Each workbook manages its own copy.
* Published Data Source: The connection or extract is hosted on Tableau Server, reusable across multiple workbooks.
Now, let's evaluate the options:
* Option C (Centralized data management is easier): Correct. Published data sources allow:
* Single source of truth: One data source can serve multiple workbooks, ensuring consistency.
* Unified updates: Refresh schedules, permissions, and metadata (e.g., calculated fields) are managed in one place via the Server UI.
* Governance: Administrators can control access and monitor usage centrally.In contrast, embedded data sources require individual updates per workbook, leading to duplication and management overhead.
* Option D (Storage space is conserved and resource usage during data refreshes is optimized):
Correct. With published data sources:
* Storage: A single extract on the Server (e.g., a .hyper file) is shared across workbooks, avoiding redundant copies stored in each embedded workbook.
* Refreshes: One refresh job updates the shared extract, reducing CPU and memory usage compared to multiple refreshes for duplicate embedded extracts.Embedded data sources replicate extracts, increasing disk space and refresh load.
* Option A (Data is protected so that it is only available in one workbook): Incorrect. This describes embedded data sources, not published ones. Published data sources are shared, not restricted to one workbook-permissions control access, not exclusivity.
* Option B (Drivers are automatically installed on each client's machine): Incorrect. Drivers (e.g., for SQL Server, PostgreSQL) must be installed on the Server hosting the published data source, not client machines. This is unrelated to the published vs. embedded distinction.
Why This Matters: Published data sources enhance scalability and efficiency in enterprise deployments, making them a cornerstone of Tableau Server's data strategy.
Reference: Tableau Server Documentation - "Published Data Sources" (https://help.tableau.com/current/server
/en-us/datasource_publish.htm).


NEW QUESTION # 56
A user named John publishes a workbook named Sales Quota to a project named Sales. The All Users group has the View and Download Workbook/Save As capabilities only to the Sales project. A user named Sandy has the Explorer (can publish) site role, on the Sales Quota workbook. No other users or groups have permissions to the Sales project. The Sales project is set to Managed by the owner. What are the effective rights for Sandy?

Answer: D


NEW QUESTION # 57
What is the maximum number of tasks that a single Backgrounder process can execute simultaneously?

Answer: A

Explanation:
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).


NEW QUESTION # 58
......

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