Explanation:

Why B is Correct?

Client registration is mandatory for OpenID Connect (OIDC) to establish a trusted relationship between Tableau Server and the OIDC provider (e.g., Azure AD, Okta).

This step provides:

Client ID and secret: Used to authenticate Tableau Server with the provider.

Scopes/permissions: Defines what user data (e.g., email, groups) Tableau can access.

Tableau’s OIDC Documentation lists this as the first configuration step.

Why Other Options Are Incorrect?

A. Accepting all providers: A severe security risk—only pre-approved providers should be trusted.

C. Direct database connection: OIDC uses API-based authentication, not direct database access.

D. Disabling all other auth methods: Overly restrictive—some users (e.g., admins) may need local access for troubleshooting.

Key Steps for Secure OIDC Setup:

Register Tableau Server in your OIDC provider’s portal (e.g., Azure AD App Registrations).

Configure redirect URIs: Must match exactly (e.g., https://tableau.example.com/oidc/callback).

Obtain credentials: Client ID, secret, and issuer URL..

Reference:

OpenID Connect Core 1.0 Spec.

Final Note:

B is the only secure and standards-compliant approach. Options A/C/D either compromise security or misrepresent OIDC’s design. Always validate provider credentials.

Explanation:

Why B is Correct?

Incremental load testing helps identify performance thresholds, bottlenecks, and scalability limits without overwhelming the server abruptly.

It mirrors real-world usage patterns (e.g., growing user traffic) and reveals:

Response time degradation (e.g., dashboards slowing at 500+ users).

Resource saturation points (e.g., CPU/memory spikes).

Tableau’s Performance Testing Guide recommends this approach.

Why Other Options Are Less Effective?

A. Testing only during peak hours: Limits understanding of progressive failure modes and risks disrupting live users.

C. Synthetic data only: Real-world data (with its complexities) is critical for accurate performance insights.

D. Focusing only on new features: Neglects end-to-end system performance (e.g., legacy features may bottleneck new ones).

Key Steps for Valid Load Testing:

Baseline testing: Measure performance under normal loads.

Ramp-up: Gradually add users/requests (e.g., +100 users every 5 minutes).

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

Repeat with real data: Ensure tests reflect production scenarios

. Reference:

Load Testing Best Practices (NIST SP 800-146): Emphasizes incremental load increases.

Final Note:

B is the only method that balances realism and safety. Options A/C/D risk skewed results or system crashes. Always simulate realistic growth patterns

Explanation:

Why B is Correct?

Firewall blocking ports is the most common cause of Tableau Server inaccessibility after installation.

Tableau Server requires specific ports (e.g., 80/HTTP, 443/HTTPS, 8850/TSM) to be open for client connections.

Windows Firewall (or third-party firewalls) often blocks these by default.

Tableau’s Port Requirements Documentation lists critical ports to verify.

Why Other Options Are Less Likely First Steps?

A. Reinstalling network drivers: Rarely needed unless there’s evidence of driver corruption (e.g., no network access at all).

C. Upgrading client OS: Irrelevant—client OS compatibility doesn’t prevent server access.

D. Static IP address: Helpful for stability but doesn’t resolve connectivity if ports are blocked.

Reference:

Tableau’s Firewall Configuration Guide.

Final Note:

Start with B—firewall issues account for ~80% of post-install access problems. If ports are open but issues persist, then investigate IP/DNS (D) or drivers (A).

Explanation:

Why B is Correct?

The Resource Monitoring Tool (RMT) is designed to track system performance metrics (CPU, memory, disk I/O, etc.) to identify bottlenecks or failures.

Thresholds and alerts ensure administrators are notified of critical issues (e.g., CPU > 90%) before they impact users.

Tableau’s RMT Documentation emphasizes this as the tool’s primary purpose.

Why Other Options Are Incorrect?

A. Monitoring logins/logouts: Handled by Tableau Server’s internal logs, not RMT.

C. External network tools: RMT focuses on server resources, not network traffic (though complementary tools like SNMP can help).

D. User database integration: RMT doesn’t track user analytics—it’s for hardware/software performance.

Key Steps for Effective RMT Use:

Define thresholds for:

CPU/memory usage (e.g., alert if > 80% for 5+ minutes).

Disk space (e.g., warn if < 10% free).

Configure alerts (email/SNMP) for proactive response.

Review RMT dashboards regularly to spot trends.

Reference:

Tableau’s RMT Best Practices.

Final Note:

B is the core function of RMT. Options A/C/D misrepresent its capabilities—always prioritize performance thresholds for actionable insights.

Explanation:

Why B is Correct?

Tableau Bridge is specifically designed to enable secure, real-time connections between Tableau Cloud and on-premises data sources (e.g., SQL Server, Oracle, PostgreSQL).

It acts as a gateway, maintaining a live link without requiring data migration to the cloud.

Supports both live queries and scheduled extracts, balancing performance and freshness.

Tableau’s Bridge Documentation confirms this as the recommended approach.

Why Other Options Are Incorrect?

A. Tableau Builder: Doesn’t exist—likely a distractor.

C. Migrate all data: Often impractical due to compliance, cost, or latency constraints.

D. Native capabilities:Tableau Cloud cannot directly access on-premises data without Bridge or a VPN (not recommended).

Key Benefits of Tableau Bridge:

No data movement: Keeps sensitive on-premises data behind the firewall.

Automatic updates: Scheduled extracts refresh in Tableau Cloud without manual intervention.

Scalability: Multiple Bridge clients can be deployed for high availability.

Implementation Steps:

Install Bridge on an on-premises machine with database access.

Configure data sources in Tableau Cloud to use Bridge.

Monitor connections via Bridge’s admin console.

Reference:

Tableau’s Bridge Setup Guide.

Final Note:

B is the only viable solution for hybrid (cloud + on-prem) analytics. Options A/C/D either don’t exist, are inflexible, or insecure. Always use Bridge for live on-prem access.