Salesforce-Tableau-Architect Practice Test Questions

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For a large organization using Tableau Server, what should be included in an automated complex disaster recovery plan to ensure rapid recovery of services?



A. Frequent, automated backups of Tableau Server data, configuration, and content, stored in an off-site location


B. A single annual full backup of the Tableau Server, complemented by periodic manual checks


C. Continuous, real-time backups of all user interactions and changes on the Tableau Server


D. Utilizing only RAID configurations for data storage to prevent data loss





A.
  Frequent, automated backups of Tableau Server data, configuration, and content, stored in an off-site location

Explanation:

Why A is Correct?

Frequent, automated backups ensure minimal data loss and enable rapid restoration.

Backups should include:

Content (workbooks, data sources, extracts).

Configuration (server settings, user permissions).

Repository database (PostgreSQL for Tableau Server metadata).

Off-site storage protects against physical disasters (e.g., fire, flood).

Tableau’s Disaster Recovery Guide mandates this approach for enterprises.

Why Other Options Are Insufficient?

B. Annual backups + manual checks: Far too infrequent—risks massive data loss.

C. Real-time backups of user interactions: Overkill—not feasible for most organizations and doesn’t cover configurations.

D. RAID only: Prevents hardware failures but not logical errors (e.g., corrupted data, accidental deletions).

Key Components of a Disaster Recovery Plan:

Automated daily backups (e.g., via tsm maintenance backup).

Tested restore procedures (validate backups work!).

Geographically redundant storage (e.g., AWS S3, Azure Blob).

Documented rollback steps for critical failures.

Reference:

NIST SP 800-34: Requires automated, off-site backups for IT disaster recovery.

Tableau’s Backup Best Practices.

Final Note:
A is the only enterprise-grade solution. RAID (D) and annual backups (B) are inadequate, while real-time backups (C) are impractical. Always pair backups with regular recovery drills.

A global financial institution requires a Tableau deployment that ensures continuous operation and data protection. What should be the primary focus in their high availability and disaster recovery planning?



A. Implement a single Tableau Server node to simplify management


B. Establish a multi-node Tableau Server cluster with load balancing and failover capabilities


C. Rely solely on regular data backups without additional infrastructure considerations


D. Use a cloud-based Tableau service without any on-premises disaster recovery plans





B.
  Establish a multi-node Tableau Server cluster with load balancing and failover capabilities

Explanation:

Why B is Correct?

A multi-node cluster is essential for high availability (HA) and disaster recovery (DR) in a global financial institution because it provides:

Failover: If one node fails, others take over (e.g., using Tableau Server’s distributed architecture).

Load balancing: Distributes user traffic evenly (e.g., via VizQL processes).

Geographic redundancy: Nodes can span data centers for regional outages.

Tableau’s High Availability Guide mandates this approach for mission-critical deployments.

Why Other Options Are Inadequate?

A. Single node: A single point of failure—unacceptable for financial institutions.

C. Backups alone: Backups restore data but cause downtime during failures.

D. Cloud-only: Cloud services (e.g., Tableau Cloud) still require DR plans (e.g., hybrid backups).

Key Components of HA/DR for Financial Institutions:

Multi-node cluster:
Primary + standby nodes (e.g., 3+ nodes for fault tolerance).

Automated failover:
Configured via tsm topology commands.

Disaster recovery site:
Sync backups to a secondary location (e.g., AWS S3, Azure Blob).

Reference:
FINRA Regulatory Notice 21-19: Requires HA/DR for financial data systems.

Tableau’s Disaster Recovery Guide.

Final Note:
B is the only enterprise-grade solution. Options A/C/D violate compliance and risk outages. Always design for zero single points of failure.

When installing Tableau Server in an air-gapped environment, which of the following steps is essential to ensure a successful installation and operation?



A. Enabling direct internet access from the Tableau Server for software updates


B. Using a physical medium to transfer the Tableau Server installation files to the environment


C. Configuring Tableau Server to use a proxy server for all external communications


D. Implementing a virtual private network (VPN) to allow remote access to the Tableau Server





B.
  Using a physical medium to transfer the Tableau Server installation files to the environment

Explanation:

Why B is Correct?

An air-gapped environment has no internet connectivity, so:

Tableau Server installation files (e.g., .rpm, .deb, or .exe) must be transferred via USB drive, DVD, or internal network.

All dependencies (e.g., libraries, drivers) must also be included

. Tableau’s Offline Installation Guide details this process.

Why Other Options Are Impossible or Insecure?

A. Enabling internet access: Violates the air-gapped requirement.

C. Proxy server: Still requires external connectivity.

D. VPN: Defeats the purpose of air-gapping (no remote access allowed).

Steps for Air-Gapped Installation:

Download Tableau Server + dependencies on a connected machine.

Transfer files via secure physical media.

Activate offline: Use a license file instead of online activation.

Reference:

Tableau’s Air-Gapped Security Guidelines.

Final Note:

B is the only viable method. Options A/C/D compromise air-gapped security. Always validate checksums for transferred files.

When managing a Tableau Server environment on a Linux system, which method is recommended for deploying automated backup scripts?



A. Configuring the scripts to run automatically via the Tableau Server web interface


B. Using cron jobs to schedule and execute backup scripts at regular intervals


C. Relying on a third-party cloud service to handle all backup processes


D. Manually initiating backup scripts through the Linux terminal as needed





B.
  Using cron jobs to schedule and execute backup scripts at regular intervals

Explanation:

Why B is Correct?

Cron is the standard Linux tool for scheduling automated tasks, including Tableau Server backups.

It allows:

Regular backups (e.g., daily at 2 AM).

Logging for audit trails.

No manual intervention (unlike Option D).

Tableau’s Backup Documentation explicitly recommends cron for automation.

Why Other Options Are Less Effective?

A. Web interface: Tableau Server’s UI doesn’t support script scheduling.

C. Third-party cloud: Overkill for backups unless hybrid cloud is required (cron is free and native).

D. Manual execution: Risky—human errors lead to missed backups.

Reference:

Tableau’s Automated Backup Guide.

Final Note:

B is the most reliable and lightweight method. Options A/C/D either don’t work or add unnecessary complexity. Always test scripts in staging first!

When building an administrative dashboard for monitoring server performance in Tableau, what key metric should be included to effectively track server health?



A. The number of published workbooks on the server


B. The average load time of views on the server


C. The total number of users registered on the server


D. The frequency of extract refreshes occurring on the server





B.
  The average load time of views on the server

Explanation:

Why B is Correct?

Average view load time is a direct indicator of server health and user experience. It reveals:

Performance bottlenecks (e.g., slow queries, high CPU usage).

Resource saturation (e.g., VizQL process overload).

Tableau’s Admin Insights Documentation prioritizes this metric for monitoring.

Why Other Options Are Less Critical?

A. Number of workbooks: Doesn’t reflect performance (a server with 10,000 workbooks can run smoothly).

C. Total users: Only shows scale, not health (e.g., 1,000 users with fast views is healthy).

D. Extract refresh frequency: Important for data freshness but not real-time server health.

Key Metrics for Server Health Dashboards:

View load times (per dashboard/user).

System resources (CPU, memory, disk I/O).

Failed/subscribed tasks (background jobs).

Reference:

Tableau’s Performance Monitoring Guide.

Final Note:

B is the most actionable metric. Options A/C/D are informational but don’t diagnose issues. Pair with CPU/memory trends for full context.

During a blue-green deployment of Tableau Server, what is a critical step to ensure data consistency between the blue and green environments?



A. Running performance tests in the green environment


B. Synchronizing data and configurations between the two environments before the switch


C. Implementing load balancing between the blue and green environments


D. Increasing the storage capacity of the green environment





B.
  Synchronizing data and configurations between the two environments before the switch

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.

In the process of configuring an external gateway for Tableau Server, which of the following is a critical step to ensure secure and efficient communication?



A. Setting up a load balancer to distribute traffic evenly across multiple Tableau Server in-stances


B. Configuring the gateway to bypass SSL for faster data transmission


C. Enabling direct database access from the gateway for real-time data querying


D. Implementing firewall rules to restrict access to the gateway based on IP addresses





D.
  Implementing firewall rules to restrict access to the gateway based on IP addresses

Explanation:

Why D is Correct?

Firewall rules are essential to:

Limit access to the gateway to trusted IPs only (e.g., corporate networks, VPNs).

Block malicious traffic (e.g., DDoS attacks, unauthorized access attempts).

This aligns with Tableau’s Security Hardening Guide, which mandates IP restrictions for gateways.

Why Other Options Are Incorrect?

A. Load balancer: Useful for scaling but doesn’t secure the gateway itself.

B. Bypassing SSL: A security risk—SSL/TLS is mandatory for encrypted traffic.

C. Direct database access: Defeats the purpose of a gateway (which proxies requests securely).

Reference:

NIST Firewall Guidelines (SP 800-41).

Final Note:

D is the only security-focused step. Options A/B/C either neglect security (B) or address unrelated concerns (A/C). Always audit firewall rules post-configuration.

For a multinational corporation implementing Tableau, what is the most important consideration for licensing and ATR compliance?



A. Opting for the cheapest available licensing option to minimize costs


B. Ignoring ATR compliance as it is not crucial for multinational operations


C. Choosing a licensing model that aligns with the global distribution of users and adheres to ATR requirements


D. Selecting a licensing model based solely on the preferences of the IT department





C.
  Choosing a licensing model that aligns with the global distribution of users and adheres to ATR requirements

Explanation:

Why C is Correct?

Global user distribution requires a licensing model that accommodates:

Geographic variability (e.g., time zones, peak usage times).

ATR (Active User Ratio) compliance: Ensures cost efficiency by matching licenses to actual usage patterns.

Tableau’s ATR Guide emphasizes this for multinational deployments.

Why Other Options Are Incorrect?

A. Cheapest licenses: May violate ATR or leave regions under-licensed.

B. Ignoring ATR: Leads to over-purchasing (e.g., unused licenses) or compliance penalties.

D. IT preferences: Doesn’t account for business needs or global scalability.

Key Steps for Multinational Licensing:

Analyze user activity per region (via Admin Insights).

Select Core-based licensing (flexible for global teams) or Named User (fixed roles).

Monitor ATR quarterly: Adjust licenses to maintain compliance (e.g., 1:3 ratio).

Reference:

Tableau’s Global Licensing Best Practices.

Final Note:

C is the only strategy balancing cost and compliance. Options A/B/D risk overspending or non-compliance. Always track usage metrics post-deployment.

During the validation of a disaster recovery/high availability strategy for Tableau Server, what is a key element to test to ensure data integrity?



A. Frequency of complete system backups


B. Speed of the failover to a secondary server


C. Accuracy of data and dashboard recovery post-failover


D. Network bandwidth availability during the failover process





C.
  Accuracy of data and dashboard recovery post-failover

Explanation:

Why C is Correct?

Data integrity is the cornerstone of disaster recovery (DR). Testing recovery ensures:

Dashboards render correctly (no broken visualizations or missing data).

Underlying data matches the pre-failover state (e.g., extracts, live connections).

Tableau’s Disaster Recovery Guide mandates validation of recovered content.

Why Other Options Are Secondary?

A. Backup frequency: Important but doesn’t verify recovered data accuracy.

B. Failover speed: Measures performance, not correctness.

D. Network bandwidth: Impacts recovery time but not data integrity.

Steps to Validate Data Integrity:

Post-failover checks:

Compare sample dashboards/data sources to pre-failover snapshots.

Verify user permissions and subscriptions.

Reference:

NIST SP 800-184 on DR testing.

Final Note:

C is the only test that confirms functional recovery. Options A/B/D are operational but don’t guarantee data correctness. Always document recovery benchmarks.

When integrating Tableau Server with an authentication method, what factor must be considered to ensure compatibility with Tableau Cloud?



A. The need to configure a separate VPN for Tableau Cloud to support the authentication method


B. Ensuring the authentication method supports SAML for seamless integration with Tableau Cloud


C. The requirement to use a specific version of Tableau Server that is exclusive to Tableau Cloud environments


D. Setting up a dedicated database server for authentication logs when using Tableau Cloud





B.
  Ensuring the authentication method supports SAML for seamless integration with Tableau Cloud

Explanation:

Why B is Correct?

SAML (Security Assertion Markup Language) is the standard authentication protocol supported by both Tableau Server and Tableau Cloud for:

Single Sign-On (SSO) with identity providers (e.g., Okta, Azure AD).

Centralized user management (e.g., auto-provisioning via SCIM).

Tableau’s SAML Documentation confirms this as the primary integration method.

Why Other Options Are Incorrect?

A. VPN for Tableau Cloud: Unnecessary—Tableau Cloud uses public HTTPS endpoints for auth.

C. Specific Server version: Tableau Cloud always supports the latest auth methods; compatibility depends on the identity provider, not Server versions.

D. Dedicated auth database: Tableau Cloud handles logs internally—no external DB needed.

Key Steps for SAML Integration:

Configure SAML in Tableau Cloud:

Register Tableau Cloud as a relying party in your IdP.

Map user attributes:

Ensure NameID (username) and groups/roles sync correctly.

Test authentication:

Validate SSO flows and error handling.

Reference:

Tableau’s Hybrid Auth Guide for Server + Cloud setups.

Final Note:

B is the only universal requirement. Options A/C/D misrepresent Cloud’s architecture. Always test SAML with a pilot group before full rollout.

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