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Salesforce Analytics-Arch-201 Exam Questions
- Topic 1: Design a Tableau Infrastructure: This section of the exam measures skills of Tableau Consultants and focuses on planning and designing a complex Tableau deployment. It covers gathering user requirements, licensing strategies including Authorization-to-Run, high availability and disaster recovery planning, and mapping server add-ons to the organization’s needs. It includes planning and implementing Tableau Cloud with Bridge, authentication, user provisioning, and multi-site configuration. Additionally, it addresses migration planning across Tableau products, operating systems, identity stores, and consolidations, as well as designing process topologies, sizing, node roles, and recommending server configurations including security, hardware, and disaster recovery.
- Topic 2: Deploy Tableau Server: This domain assesses the ability of Tableau Administrators to perform production-ready deployments of Tableau Server. It encompasses installing and configuring Tableau Server with external components, supporting air-gapped environments, disaster recovery validations, and blue-green deployments. It includes configuring and troubleshooting various authentication methods such as SAML, Kerberos, and LDAP. The section also covers implementing encryption strategies, installing and verifying Tableau Server on Linux and Windows platforms, resolving installation and configuration issues, and managing service accounts and logging.
- Topic 3: Monitor and Maintain a Tableau Deployment: This section evaluates skills of Tableau Administrators in monitoring, maintaining, and optimizing Tableau environments. It involves creating custom administrative dashboards, conducting load testing using tools like TabJolt, and analyzing test results. Troubleshooting complex performance bottlenecks in workbooks and server resources is key, as is tuning caching and scaling strategies. It covers leveraging observability tools such as the Resource Monitoring Tool, analyzing logs and metrics, and adjusting architecture accordingly. Automation of maintenance functions using APIs, scripting, and scheduling is included, along with managing server extensions, content automation, dashboard extensions, web data connectors, and secure embedded solutions.
Free Salesforce Analytics-Arch-201 Exam Actual Questions
Note: Premium Questions for Analytics-Arch-201 were last updated On Oct. 13, 2026 (see below)
In validating a disaster recovery plan for Tableau Server, what aspect is critical to assess to ensure minimal downtime in case of a system failure?
The efficiency and speed of the backup restoration process The efficiency and speed of the backup restoration process are key factors in ensuring minimal downtime during a dis-aster recovery scenario. Quick and efficient restoration means that the Tableau Server can be brought back online promptly, reducing the impact on business operations. Option A is incorrect as the total size of data backups, while impacting storage requirements, does not directly determine the downtime during a recovery. Option B is incorrect because while compatibility is important, it does not directly impact the speed of recovery in a disaster situation. Option D is incorrect as the physical distance between servers can affect certain aspects of disaster recovery planning, but it is not the primary factor in ensuring minimal downtime.
A rapidly expanding retail company is planning to deploy Tableau for its nationwide operations. What is the most important factor to consider for ensuring the scalability of the Tableau deployment?
Choosing a deployment model that can scale with increasing data volume and user count This option ensures that as the company grows, the Tableau deployment can accommodate increasing data volumes and a higher number of users, which is crucial for a rapidly expanding business. Option A is incorrect because limiting the number of users can hinder operational efficiency and business growth. Option B is incorrect as it fails to consider future growth, which is essential for a scalable and future-proof deployment. Option D is incorrect because relying on a single server for an expanding operation can lead to performance issues and does not support scalability.
After implementing Tableau Cloud, a retail company notices that certain dashboards are not updating with the latest sales dat
a. What is the most effective troubleshooting step?
Checking the data source connections and refresh schedules for the affected dashboards This step directly addresses the potential issue by ensuring that the dashboards are properly connected to the data sources and that the refresh schedules are correctly configured. Option A is incorrect because rebuilding dashboards is time-consuming and may not address the underlying issue with data refresh. Option C is incorrect as transitioning back to an on-premises server is a drastic step that doesn't directly solve the issue with data updates. Option D is incorrect because limiting user access does not address the issue of data not updating in the dashboards.
A company is migrating its Tableau workbooks and data sources from one server to another. Which feature of the Tableau Content Migration Tool is most critical for this process?
The functionality to automatically update data source connections in the work-books during migration Automatically updating data source connections is essential to ensure that workbooks function correctly after migration, maintaining data integrity and continuity. Option A is incorrect because changing the visual design is not the primary function of a migration tool. Option C is incorrect as manual migration of each workbook is time-consuming and prone to errors. Option D is incorrect because it's important to migrate all necessary workbooks, not just the most recently accessed ones.
In configuring a strategy to monitor Tableau Server process metrics, what is an essential aspect to include for ensuring proactive maintenance?
Setting up alerts for when server processes reach their maximum capacity thresholds An essential aspect of a strategy to monitor Tableau Server process metrics is setting up alerts for when key server processes approach or reach their maximum capacity thresholds. This pro-active approach allows administrators to address potential issues before they impact server performance or user experience, ensuring smoother operations. Option B is incorrect as analyzing historical data monthly might miss immediate issues and emerging trends that require quicker responses. Option C is incorrect because focusing only on the most used dashboards and data sources does not provide a complete picture of server performance. Option D is incorrect because while reviewing server logs after new deployments is important, it is not a substitute for continuous monitoring of process metrics.
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