Salesforce-Tableau-Architect Exam Questions With Explanations

The best Salesforce-Tableau-Architect practice exam questions with research based explanations of each question will help you Prepare & Pass the exam!

Start Practice Free
Over 15K Students have given a five star review to SalesforceKing

Why choose our Practice Test

By familiarizing yourself with the Salesforce-Tableau-Architect exam format and question types, you can reduce test-day anxiety and improve your overall performance.

Up-to-date Content

Ensure you're studying with the latest exam objectives and content.

Unlimited Retakes

We offer unlimited retakes, ensuring you'll prepare each questions properly.

Realistic Exam Questions

Experience exam-like questions designed to mirror the actual Salesforce-Tableau-Architect test.

Targeted Learning

Detailed explanations help you understand the reasoning behind correct and incorrect answers.

Increased Confidence

The more you practice, the more confident you will become in your knowledge to pass the exam.

Study whenever you want, from any place in the world.

Salesforce Salesforce-Tableau-Architect Exam Sample Questions 2026

Start practicing today and take the fast track to becoming Salesforce Salesforce-Tableau-Architect certified.

21054 already prepared
Salesforce 2026 Release
105 Questions
4.9/5.0

In developing a custom view to monitor the performance of published data sources in Tableau Server, which part of the Tableau repository schema should be primarily analyzed?

A. The 'users' table to identify active users interacting with the data sources

B. The 'data_connections' table to gain insights into connections and performance of published data sources

C. The 'background_tasks' table to monitor the performance of scheduled tasks related to data sources

D. The 'server_usage' table to understand the overall server load and its impact on data source performance

B.   The 'data_connections' table to gain insights into connections and performance of published data sources

Explanation:

Why Option B is Correct:

The data_connections table in the Tableau PostgreSQL repository stores metadata about:

Published data sources (e.g., connection strings, query details).

Performance metrics (e.g., query execution times, refresh status).

Usage statistics (e.g., frequency of access).

Analyzing this table helps identify:

Slow-performing data sources.

Connection bottlenecks (e.g., high latency to databases).

Reference: Tableau Repository Schema Documentation.

Why Other Options Are Less Relevant:

A) users table: Tracks user accounts, not data source performance.

C) background_tasks table: Focuses on scheduled jobs (e.g., extracts), not live data source queries.

D) server_usage table: Provides aggregate server metrics, not granular data source insights.

Key Columns in data_connections for Analysis:

query_text: Identifies slow-running queries.

last_accessed_at: Shows usage patterns.

connection_failure_count: Highlights unstable connections.

An organization needs to migrate its Tableau Server to a new physical server due to hardware up-grades. What factor should be prioritized to minimize downtime and data loss?

A. Migrating the server during peak business hours to immediately test the performance

B. Planning the migration process with thorough backups and a clear rollback plan

C. Transferring only the most essential dashboards and rebuilding the rest on the new server

D. Changing the underlying database structure during the migration to improve performance

B.   Planning the migration process with thorough backups and a clear rollback plan

Explanation:

Why B is Correct?

Thorough backups ensure no data is lost during migration, while a rollback plan allows quick recovery if issues arise.

Tableau’s Migration Documentation emphasizes backups as the first step.

A staged migration (test → validate → cutover) minimizes downtime by allowing pre-checks.

Why Other Options Are Incorrect?

A. Migrating during peak hours: Increases risk—downtime during high usage disrupts business.

C. Transferring only essential dashboards: Leads to incomplete migration and user disruption.

D. Changing database structure: Introduces unnecessary risk—performance tuning should happen post-migration.

Key Steps for Minimal Downtime:

Back up all content (workbooks, data sources, users).

Test migration in a staging environment.

Schedule cutover during low-traffic periods.

Validate functionality before decommissioning the old server.

Final Note:

B is the only method that balances speed and safety. Never skip backups (risk data loss) or migrate during peak hours (risk downtime).

In the context of Tableau Server, what is an important consideration when configuring access to the Metadata API for external applications?

A. Allowing unrestricted access to the Metadata API from any external application

B. Configuring the Metadata API to provide real-time updates to external applications

C. Implementing OAuth for secure, token-based authentication for external applications accessing the Metadata API

D. Ensuring external applications have direct database access for synchronized metadata retrieval

C.   Implementing OAuth for secure, token-based authentication for external applications accessing the Metadata API

Explanation:

Why C is Correct?

OAuth is the industry-standard protocol for secure API access, providing token-based authentication without exposing credentials.

It enables:

Fine-grained access control (scopes/permissions).

Revocable tokens (reduce risk if compromised).

Auditability (track API usage by application).

Tableau’s Metadata API Security Guide mandates OAuth for external integrations.

Why Other Options Are Incorrect?

A. Unrestricted access: A major security risk—exposes metadata to unauthorized parties.

B. Real-time updates: Not a security consideration (and not always feasible due to performance impacts).

D. Direct database access: Bypasses Tableau’s security model—never grant direct DB access for metadata.

Key Steps for Secure Metadata API Access:

Register external apps in Tableau Server’s OAuth settings.

Define scopes (e.g., read:metadata) to limit permissions.

Rotate secrets/tokens regularly.

Reference:

OAuth 2.0 Best Practices (RFC 6749).

Final Note:

C is the only secure approach. Options A/B/D either ignore security (A/D) or confuse functionality with access control (B). Always use OAuth for APIs.

For a Tableau administrative dashboard designed to monitor user engagement, which metric would be most beneficial to include?

A. The disk space used by the Tableau Server

B. The number of views created by users per month

C. The server's uptime and downtime statistics

D. The amount of network traffic to and from the Tableau Server

B.   The number of views created by users per month

Explanation:

Why B is Correct?

Views per month is a direct measure of user engagement because:

It shows how often users interact with dashboards (e.g., 10,000 views = high engagement).

Helps identify popular vs. underused content for optimization.

Tableau’s Admin Insights highlights this as a key engagement metric.

Why Other Options Are Less Relevant?

A. Disk space: Tracks storage, not engagement.

C. Uptime/downtime: Measures reliability, not user activity.

D. Network traffic: Reflects data volume, not engagement quality.

Additional Engagement Metrics to Include:

Unique users: Distinguish active vs. inactive accounts.

Average session duration: Longer sessions = deeper engagement.

Subscriptions/alerts: Shows proactive usage.

How to Build the Dashboard:

Query the workbooks and views tables in Tableau’s repository.

Visualize trends:

Views by department, time of day, or dashboard type.

Reference:

Tableau’s Usage Metrics Guide.

Final Note:

B is the most actionable for engagement. Options A/C/D are operational metrics. Pair with user feedback for context.

In the context of interpreting Tableau Server installation logs, what is a key aspect to look for when diagnosing an installation failure?

A. User access levels and permissions at the time of installation

B. Network bandwidth and latency during the installation process

C. Error codes or messages that indicate the specific nature of the installation failure

D. The number of users accessing the server during the installation

C.   Error codes or messages that indicate the specific nature of the installation failure

Explanation:

Why Option C is Correct:

Installation logs (e.g., tabinstall.log, tsm.log) contain error codes and descriptive messages that pinpoint:

Missing dependencies (e.g., Java, PostgreSQL).

Permission issues (e.g., unable to write to /opt/tableau).

Configuration conflicts (e.g., port 80 already in use).

Example: A ERROR: Failed to initialize PostgreSQL log entry directs you to fix the database setup.

Reference: Tableau Server Log Files Documentation.

Why Other Options Are Incorrect:

A) User access levels:

Installation is typically done by admins—user permissions are irrelevant.

B) Network bandwidth/latency:

Rarely causes installation failures (unless downloading files, but logs won’t show this).

D) Users accessing server:

Tableau Server is not live during installation—this metric is meaningless.

How to Diagnose from Logs:

Locate logs:

Linux:/var/opt/tableau/tableau_server/logs.

Windows: C:\ProgramData\Tableau\Tableau Server\logs.

Search for keywords: ERROR, FAILED, WARNING.

Use tsm logs CLI:

Prep Smart, Pass Easy Your Success Starts Here!

Transform Your Test Prep with Realistic Salesforce-Tableau-Architect Exam Questions That Build Confidence and Drive Success!