Salesforce-Tableau-Architect Exam Questions With Explanations

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Salesforce Salesforce-Tableau-Architect Exam Sample Questions 2025

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21054 already prepared
Salesforce Spring 25 Release
105 Questions
4.9/5.0

In developing a load testing strategy for Tableau Server, what aspect is important to include to ensure comprehensive testing?

A. Testing the server with a single, high-usage dashboard to see its performance under stress

B. Simulating a variety of user activities, such as viewing dashboards, publishing workbooks, and refreshing extracts

C. Exclusively testing the data source connection speeds to determine the overall server performance

D. Running the tests only with administrative users to evaluate the server's response to privileged activities

B.   Simulating a variety of user activities, such as viewing dashboards, publishing workbooks, and refreshing extracts

Explanation:

Why B is Correct?

A comprehensive load test must mimic real-world usage patterns, including:

Viewing dashboards (VizQL processes).

Publishing workbooks (Backgrounder/Repository).

Refreshing extracts (Backgrounder/Data Engine).

This reveals bottlenecks across all server components, not just one area.

Tableau’s Load Testing Guide emphasizes diverse user simulations.

Why Other Options Are Incomplete?

A. Single dashboard test: Only stresses VizQL, ignoring other services (e.g., Backgrounder).

C. Data source speeds alone: Measures external systems, not Tableau Server’s capacity.

D. Admin-only tests: Privileged tasks (e.g., user management) don’t reflect typical user load.

Key Elements of a Robust Load Test:

User concurrency: Ramp up from 100 to 1,000+ users.

Activity mix:

70% dashboard views, 20% extracts, 10% publishes.

Monitor metrics: CPU, memory, query latency, and error rates.

Reference:

NIST SP 800-146: Recommends simulating realistic workloads for accurate testing.

Final Note:

B is the only holistic approach. Options A/C/D test narrow scenarios, risking overlooked failures. Always model real user behavior.

For automating routine maintenance tasks on a Tableau Server installed on a Windows system, which method would be most suitable for deploying scripts?

A. Utilizing Tableau Desktop to run maintenance scripts at scheduled times

B. Employing Windows Task Scheduler to automate and manage the execution of maintenance scripts

C. Implementing a continuous integration tool like Jenkins for script execution

D. Manually running scripts through the command line interface each time

B.   Employing Windows Task Scheduler to automate and manage the execution of maintenance scripts

Explanation:

Why B is Correct?

Windows Task Scheduler is a native Windows tool designed for automating script execution at predefined times or intervals.

It is lightweight, reliable, and tightly integrated with Windows, making it ideal for routine Tableau Server maintenance tasks (e.g., log cleanup, backup scripts, extract refreshes).

Supports custom triggers, conditions, and logging, ensuring scripts run without manual intervention.

Why Other Options Are Incorrect?

A) Tableau Desktop is for visual analytics, not server maintenance automation.

C) Jenkins is overkill for simple maintenance tasks—it’s better suited for CI/CD pipelines.

D) Manual execution defeats the purpose of automation, increasing human error risk.

Key Takeaway:
For Windows-based Tableau Servers, Task Scheduler is the simplest, most effective way to automate maintenance scripts.

What is an essential step in implementing extract encryption in Tableau Server to enhance data security?

A. Encrypting only those extracts that contain sensitive information, while leaving others un-encrypted for performance reasons

B. Enabling extract encryption at the server level to ensure all extracts are encrypted, regard-less of their content

C. Relying on database-level encryption alone to secure all data used in Tableau extracts

D. Manually encrypting each extract using third-party software before uploading it to Tableau Server

B.   Enabling extract encryption at the server level to ensure all extracts are encrypted, regard-less of their content

Explanation:

Why B is Correct?

Server-level extract encryption ensures all data extracts (.hyper or .tde) stored on Tableau Server are encrypted by default, providing uniform security without manual intervention.

Why Other Options Are Incorrect?

A. Selective encryption: Leaves non-sensitive data vulnerable and complicates management.

C. Database-level encryption: Doesn’t protect extracts after data is extracted from the database.

D. Manual third-party encryption: Impractical for scale and breaks Tableau’s native functionality.

Steps to Implement Server-Level Encryption:

Generate a strong encryption key (e.g., 256-bit AES).

Reference:

Tableau’s Security Hardening Guide.

Final Note:

B is the only comprehensive approach. Options A/C/D create security gaps or operational inefficiencies. Always back up the encryption key separately!

In designing an automated disaster recovery process for Tableau Server, what is a crucial component to include to ensure data integrity and minimal downtime?

A. Configuring a primary and secondary Tableau Server in an active-active mode for real-time data replication

B. Implementing a nightly backup routine that stores backups on the same physical server for quick access

C. Relying on manual backups performed by administrators on a weekly basis

D. Using a cloud-based storage service as the sole method for disaster recovery backups

A.   Configuring a primary and secondary Tableau Server in an active-active mode for real-time data replication

Explanation:

Why A is Correct?

Active-active mode ensures high availability (HA) and minimal downtime by

Real-time replication: Both servers synchronize data (e.g., extracts, permissions) continuously.

Automatic failover: If the primary fails, the secondary takes over seamlessly.

Tableau’s Disaster Recovery Guide recommends this for mission-critical deployments.

Why Other Options Are Insufficient?

B. Nightly same-server backups: Risk losing a day’s data and don’t reduce downtime.

C. Manual weekly backups: Too slow—businesses need real-time recovery.

D. Cloud-only backups: Lacks failover capability—restores take hours.

Key Components of Automated DR:

Multi-node cluster:

Primary + standby nodes (configured via tsm topology).

Regular DR drills:

Test failover quarterly.

Reference:

NIST SP 800-34 on disaster recovery.

Final Note:

A is the only zero-downtime solution. Options B/C/D risk data loss or prolonged outages. Always validate failover in staging.

What is a crucial consideration when recommending a load testing strategy for a newly deployed Tableau Server environment?

A. Testing with the maximum number of users simultaneously to assess the peak performance capacity

B. Focusing solely on the load time of the most complex dashboards available on the server

C. Conducting tests only during off-peak hours to minimize the impact on regular users

D. Limiting the testing to only a few selected reports to reduce the load on the server

A.   Testing with the maximum number of users simultaneously to assess the peak performance capacity

Explanation:

Why A is Correct?

Load testing with maximum concurrent users is essential to:

Identify performance bottlenecks (e.g., CPU, memory, or network limits).

Validate scalability under peak demand (e.g., can the server handle 1,000+ users?).

Ensure stability before real users encounter failures.

Tableau’s Performance Testing Guide recommends simulating realistic peak loads.

Why Other Options Are Inadequate?

B. Focusing only on complex dashboards: Ignores system-wide performance (e.g., login storms, extract refreshes).

C. Testing only off-peak: Misses real-world stress scenarios.

D. Limiting to a few reports: Doesn’t reflect typical usage patterns.

Best Practices for Load Testing:

Ramp-up gradually: Start with 100 users, increase to max capacity.

Mix activities: Dashboard views, publishes, extracts.

Monitor metrics: Response times, error rates, resource usage.

Reference:

NIST SP 800-146: Stresses testing under "worst-case" loads.

Final Note:

A is the only strategy that ensures readiness for production. Options B-D risk undiscovered failures during actual peak usage

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