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[Hardware] Analytics-Arch-201}YӍ - Analytics-Arch-201}

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Hardware Analytics-Arch-201}YӍ - Analytics-Arch-201}

Posted at 2/13/2026 20:26:27      View147 | Replies2        Print      Only Author   [Copy Link] 1#
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  • 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.
} 2
  • 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 organizations 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.
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  • 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.

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µ Architect Exams Analytics-Arch-201 Mԇ} (Q72-Q77):} #72
When implementing database encryption for Tableau Server, which step is essential to protect sensitive data at rest?
  • A. Regularly changing the database user's passwords used by Tableau Server
  • B. Enabling SSL encryption for all data in transit between the Tableau Server and its data-bases
  • C. Configuring Transparent Data Encryption (TDE) on the database used by Tableau Server
  • D. Setting up a dedicated firewall to protect the database server hosting the Tableau Server data
𰸣C
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Configuring Transparent Data Encryption (TDE) on the database used by Tableau Server Configuring Transparent Data Encryption (TDE) on the database used by Tableau Server is essential for encrypting data at rest. TDE ensures that the data stored in the database is encrypted, which protects it from unauthorized access or breaches, especially if the physical storage media is compromised. Option A is incorrect as SSL encryption protects data in transit and does not encrypt data at rest in the database. Option C is incorrect because while a firewall is crucial for net-work security, it does not encrypt data stored in the database. Option D is incorrect as regularly changing passwords, while a good security practice, does not directly relate to the encryption of da-ta at rest in the database.

} #73
To create a custom administrative view that tracks user interactions with published data sources, which part of the Tableau repository schema should you primarily analyze?
  • A. The 'background_tasks' table to monitor scheduled tasks for data sources
  • B. The 'data_connections' table to see details about connections to published data sources
  • C. The 'users' table to identify all the active users on Tableau Server
  • D. The 'server_usage' table to get an overview of overall server activity
𰸣B
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The 'data_connections' table to see details about connections to published data sources The 'data_connections' table in the Tableau repository schema is most relevant for tracking user interactions with published data sources. This table provides details about each connection made to the data sources, offering insights into how users are interacting with and utilizing the available data. Option A is incorrect because the 'users' table, while it identifies users, does not provide specific information about interactions with data sources. Option C is incorrect as the 'back-ground_tasks' table focuses on scheduled tasks, not direct user interactions with data sources. Option D is incorrect because the 'server_usage' table gives a broad overview of server activity rather than specific details on user interactions with data sources.

} #74
After analyzing a performance recording of a Tableau dashboard, you identify that complex calculated fields are causing significant delays. What action should be taken to resolve this issue?
  • A. Rebuilding the entire dashboard from scratch to ensure optimal performance
  • B. Optimizing the calculated fields by simplifying their formulas or pre-calculating values where possible
  • C. Limiting user access to the dashboard to reduce the load on the server
  • D. Increasing the server's hardware specifications to handle complex calculations more efficiently
𰸣B
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Optimizing the calculated fields by simplifying their formulas or pre-calculating values where possible The most effective action to resolve delays caused by complex calculated fields in a Tableau dashboard is to optimize these fields. This can be achieved by simplifying the formulas used in the calculations or pre-calculating values in the data source, if possible. This approach directly addresses the root cause of the delays without the need for extensive changes to the server or dashboard. Option A is incorrect because while increasing hardware specifications might improve performance, it does not address the inherent inefficiency of the complex calculations. Op-tion C is incorrect as limiting user access does not solve the underlying issue with the calculated fields. Option D is incorrect because rebuilding the entire dashboard is an excessive measure and may not be necessary if the calculated fields can be optimized.

} #75
In the context of Tableau Server, what is an important consideration when configuring access to the Metadata API for external applications?
  • A. Configuring the Metadata API to provide real-time updates to external applications
  • B. Allowing unrestricted access to the Metadata API from any external application
  • 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
𰸣C
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Implementing OAuth for secure, token-based authentication for external applications accessing the Metadata API Implementing OAuth for secure, token-based authentication is crucial when allowing external applications to access the Metadata API. This ensures that only authorized applications can access the API, enhancing security by providing controlled access based on authenticated tokens. Option A is incorrect because unrestricted access can lead to security vulnerabilities and performance issues. Option B is incorrect as real-time updates are more related to the functionality of the Metadata API rather than its configuration for external applications. Option D is incorrect because direct database access is not a standard or safe practice for external applications, especially in the context of API access.

} #76
If load testing results for Tableau Server show consistently low utilization of CPU and memory re-sources even under peak load, what should be the next step?
  • A. Immediately scale down the server's hardware to reduce operational costs
  • B. Further increase the load in subsequent tests to find the server's actual performance limits
  • C. Stop further load testing as low resource utilization indicates optimal server performance
  • D. Focus on testing network bandwidth and latency as the primary factors for performance optimization
𰸣B
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Further increase the load in subsequent tests to find the server's actual performance limits If load testing shows low utilization of CPU and memory resources under peak load, the next step is to increase the load in subsequent tests. This helps in determining the actual limits of the server's performance and ensures that the server is tested adequately against potential real-world high-load scenarios. Option B is incorrect because scaling down hardware prematurely might not accommodate unexpected spikes in usage or future growth. Option C is incorrect as focusing solely on network factors without fully understanding the server's capacity limits may overlook other performance improvement areas. Option D is incorrect because stopping further testing based on initial low resource utilization may lead to an incomplete understanding of the server's true performance capabilities.

} #77
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Posted at 2/15/2026 09:07:37        Only Author  2#
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Posted at 3/8/2026 11:17:01        Only Author  3#
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