Explanation:

Why B is Correct?

A valid SSL certificate from a trusted CA (e.g., DigiCert, Let’s Encrypt, or an enterprise PKI) is essential for:

Authenticating Tableau Server’s identity to clients (preventing man-in-the-middle attacks).

Enabling strong encryption (TLS 1.2/1.3) for data in transit.

Self-signed certificates trigger browser warnings and are not trusted by default, breaking secure communication.

Tableau’s SSL Configuration Guide mandates CA-signed certificates for production environments.

Why Other Options Are Incorrect?

A. Configuring algorithms: While important (e.g., disabling weak ciphers), it’s secondary to having a valid certificate.

C. SSL decryption server: Unnecessary—Tableau Server handles SSL natively. This would introduce complexity and potential vulnerabilities.

D. Enabling SSL on clients: Clients automatically use SSL when Tableau Server enforces HTTPS. No client-side SSL setup is required.

Critical Steps for SSL Implementation:

Obtain a CA-signed certificate (wildcard or SAN certificate for multi-node deployments).

Verify SSL/TLS settings (e.g., disable outdated protocols like TLS 1.0/1.1).

Reference:

NIST Guidelines (SP 800-52): Require CA-signed certificates for federal systems (aligns with HIPAA/PCI DSS).

Tableau’s Security Hardening Guide prioritizes CA certificates.

Final Note:

Without a trusted certificate (B), SSL encryption is incomplete and untrusted. Always start with this step before fine-tuning algorithms (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?

Flexibility is critical in migration scripts because Tableau environments often differ in configuration (e.g., authentication, storage locations, custom settings).

Scripts should handle various content types (workbooks, data sources, users, permissions) without requiring manual adjustments.

A well-designed script accounts for differences between source and destination servers, reducing errors and downtime.

Tableau’s Migration Best Practices recommend modular, adaptable scripts for reliability.

Why Other Options Are Incorrect?

A. Environment-specific scripts: Limits reusability and increases maintenance effort (e.g., hardcoded paths break in new setups).

C. Prioritizing speed over accuracy: Risks data corruption, permission mismatches, or broken dependencies.

D. Manual intervention at each step: Defeats automation benefits and introduces human error.

Key Focus Areas for Migration Scripts:

Parameterization: Allow inputs (e.g., server URLs, project paths) to adapt to different environments.

Error Handling: Log failures (e.g., missing workbooks) without stopping the entire process.

Dependency Checks: Ensure extracts/users/permissions migrate correctly.

Idempotency: Scripts should safely rerun if interrupted.

Reference:

Tableau’s Content Migration Guide emphasizes flexibility and validation.

Final Note:

B is the only scalable approach—rigid (A), rushed (C), or manual (D) scripts lead to migration failures. Always test scripts in a staging environment first

Explanation:

Why Option B is Correct:

Enterprise-scale deployment requires centralized control for:

Automated installations/updates (reducing IT overhead).

License management (ensuring compliance).

Security policies (e.g., enforcing TLS, disabling auto-updates).

Tools like Microsoft Intune, SCCM, or Jamf (for macOS) are industry-standard for this purpose.

Reference: Tableau Enterprise Deployment Guide.

Why Other Options Are Incorrect:

A) Individual downloads:

Unmanageable at scale (version control, security risks).

C) Emailing installers:

Security hazard (risk of tampering, version inconsistency).

D) Shared network drive:

No automation (users may skip updates or install incorrectly).

Key Steps for Automated Deployment:

Package Tableau (MSI for Windows, PKG for macOS).

Distribute via Intune/SCCM with:

Silent install flags (e.g., /quiet).

Pre-configured settings (license keys, proxies).

Enforce updates via patch management..

Explanation:

Why B is Correct?

Blue-green deployments require identical data and configurations in both environments to ensure seamless switching. This includes:

Content (workbooks/data sources): Use tabcmd or APIs to sync.

Server settings (e.g., SAML, SMTP): Mirror via tsm configuration exports.

User permissions: Ensure roles/groups match.

Tableau’s Blue-Green Deployment Guide mandates this step.

Why Other Options Are Secondary?

A. Performance tests: Validates green’s readiness but doesn’t ensure data consistency.

C. Load balancing: Used after cutover, not during prep.

D. Storage increase: Irrelevant—data sync is about accuracy, not capacity.

Reference:

Tableau’s Backup/Restore Documentation.

Final Note:

B is the only way to guarantee consistency. Options A/C/D are operational but don’t prevent data mismatches. Always test the green environment post-sync.