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Salesforce Analytics-Arch-201 Exam (page: 4)
Salesforce Certified Tableau Architect
Updated on: 13-Dec-2025

Viewing Page 4 of 26
Analytics-Arch-201 PDF 200 Questions

An organization with a large number of Tableau users is seeking to optimize its data management and governance capabilities within its Tableau environment.
Which add-on is most appropriate for this purpose?

  1. Tableau Bridge to ensure live connections to their on-premises databases
  2. Tableau Data Management Add-On for better data preparation and governance
  3. Tableau Mobile App Bootcamp to enhance mobile access for users
  4. Tableau Prep Conductor to exclusively manage data preparation workflows

Answer(s): B

Explanation:

Tableau Data Management Add-On for better data preparation and governance The Tableau Data Management Add-On provides tools for effective data preparation and strong data governance, which is crucial for an organization with a large user base to maintain data integrity and compliance. Option A is incorrect as Tableau Bridge focuses on live data connections and not specifically on data management and governance. Option C is incorrect because the Tableau Mobile App Bootcamp is about mobile access, not data governance. Option D is incorrect because while Tableau Prep Conductor is part of the Data Management Add-On, it alone does not cover the full scope of data management and governance needs.



When configuring a backgrounder process on a specific node in a Tableau Server deployment, what should be considered to ensure optimal performance of the backgrounder node?

  1. The backgrounder node should have a faster network connection than other nodes
  2. The node should have more processing power and memory compared to other nodes in the deployment
  3. The backgrounder node should be placed in a geographically different location than the primary server
  4. The node should run on a different operating system than the other nodes for compatibility

Answer(s): B

Explanation:

The node should have more processing power and memory compared to other nodes in the deployment For optimal performance, the node dedicated to the backgrounder process should have more processing power and memory. This is because backgrounder tasks such as data extraction, subscription tasks, and complex calculations are resource-intensive and can benefit from additional computational resources. Option A is incorrect as while a fast network connection is beneficial, it is not the primary consideration for a backgrounder node, which relies more on processing power and memory. Option C is incorrect because the geographical location of the backgrounder node is less relevant than its hardware capabilities. Option D is incorrect as running a different operating system does not inherently improve the performance of the backgrounder node and may introduce compatibility issues.



If a performance recording indicates that query response times from external databases are the primary bottleneck in Tableau Server, what should be the first course of action?

  1. Upgrading the external database servers for faster processing
  2. Reviewing and optimizing the database queries used in Tableau workbooks for efficiency
  3. Implementing caching mechanisms in Tableau Server to reduce the reliance on database queries
  4. Restricting the size of data extracts to lessen the load on the external databases

Answer(s): B

Explanation:

Reviewing and optimizing the database queries used in Tableau workbooks for efficiency The first course of action when dealing with slow query response times from external databases, as indicated by a performance recording, should be to review and optimize the database queries used in Tableau workbooks. Optimizing queries can include simplifying them, reducing the amount of data queried,

or improving the structure of the queries. This directly addresses the inefficiencies in the queries, potentially improving response times without the need for major infrastructure changes. Option A is incorrect because upgrading external database servers is a more resource-intensive solution and should be considered only if query optimization is not sufficient. Option C is incorrect as implementing caching mechanisms might alleviate some issues but does not address the root cause of slow query performance. Option D is incorrect because restricting the size of data ex-tracts does not necessarily improve the efficiency of the queries themselves.



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?

  1. The total size of data backups
  2. The compatibility of the backup data with different versions of Tableau Server
  3. The efficiency and speed of the backup restoration process
  4. The physical distance between the primary and backup servers

Answer(s): C

Explanation:

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 company is transitioning to Tableau Cloud but still has critical data in on-premises databases that need to be accessed in real-time.
What is the best solution for integrating these data sources with Tableau Cloud?

  1. Utilize Tableau Builder for real-time data integration
  2. Implement Tableau Bridge to establish a live connection to on-premises databases
  3. Migrate all on-premises data to the cloud before using Tableau Cloud
  4. Rely solely on Tableau Cloud's native capabilities for on-premises data integration

Answer(s): B

Explanation:

Implement Tableau Bridge to establish a live connection to on-premises data-bases Tableau Bridge is specifically designed to allow real-time access to on-premises data from Tableau Cloud, making it the ideal solution for this scenario. Option A is incorrect because Tableau Prep Builder is used for data preparation, not for establishing live connections to on-premises data sources. Option C is incorrect as migrating all data to the cloud may not be feasible or desirable for all companies. Option D is incorrect because Tableau Cloud's native capabilities do not include direct live data connections to on-premises databases without Tableau Bridge.



After performing load testing on Tableau Server, you observe a significant increase in response times during peak user activity.
What is the most appropriate action based on this result?

  1. Immediately add more hardware resources, such as RAM and CPU, to the server
  2. Analyze server configurations and optimize performance settings before considering hard-ware upgrades
  3. Reduce the number of concurrent users allowed on the server to decrease load
  4. Ignore the results as temporary spikes in response times are normal during peak periods

Answer(s): B

Explanation:

Analyze server configurations and optimize performance settings before considering hardware upgrades Upon observing increased response times during peak activity in load testing, the appropriate initial action is to analyze and optimize server configurations and performance settings. This approach involves reviewing settings such as cache, parallelism, and other performance-related configurations that could impact response times, offering a potentially more cost-effective solution than immediate hardware upgrades. Option A is incorrect because adding hard-ware resources should be considered only after ensuring that the server configurations are fully optimized. Option C is incorrect as reducing the number of concurrent users may not address the underlying performance issues and could negatively impact user experience. Option D is incorrect be-cause ignoring the results can lead to ongoing performance issues, adversely affecting user satisfaction and server reliability.



In the context of interpreting Tableau Server installation logs, what is a key aspect to look for when diagnosing an installation failure?

  1. User access levels and permissions at the time of installation
  2. Network bandwidth and latency during the installation process
  3. Error codes or messages that indicate the specific nature of the installation failure
  4. The number of users accessing the server during the installation

Answer(s): C

Explanation:

Error codes or messages that indicate the specific nature of the installation failure When diagnosing an installation failure in Tableau Server, it is crucial to look for error codes or messages within the installation logs. These codes or messages can provide specific insights into what went wrong during the installation process, enabling targeted troubleshooting and resolution of the issue. Option A is incorrect because user access levels and permissions, while important, are not typically the primary focus when diagnosing an installation failure from the logs. Option B is incorrect as network bandwidth and latency are less likely to be detailed in installation logs and are not usually the primary causes of installation failures. Option D is incorrect because the number of users accessing the server during installation is unlikely to be a factor in installation failures and is not typically recorded in installation logs.



A large enterprise with a global presence is looking to enhance its Tableau Server deployment to support advanced analytics and machine learning capabilities.
Which Tableau Server Add-On should be recommended to meet this requirement?

  1. Tableau Bridge to provide better connectivity with external data sources
  2. Tableau Catalog for improved data management and governance
  3. Tableau Data Management Add-On to enhance data preparation and cataloging
  4. Tableau Server Management Add-On to leverage advanced analytics and machine learning capabilities

Answer(s): D

Explanation:

Tableau Server Management Add-On to leverage advanced analytics and ma-chine learning capabilities This add-on provides enhanced capabilities for managing the Tableau Server environment, including features that support advanced analytics and machine learning, which are essential for a large enterprise looking to leverage these technologies. Option A is incorrect be-cause Tableau Bridge primarily focuses on live data connection and not on advanced analytics or machine learning. Option B is incorrect as Tableau Catalog is more about data visibility and lineage, not directly related to advanced analytics and machine learning. Option C is incorrect because while it improves data preparation and cataloging, it does not directly address advanced analytics and machine learning requirements.



Viewing Page 4 of 26



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