Tableau TCA-C01 Practice Test - Questions Answers

The configuration of Service Principal Names (SPNs) for the Tableau Server A common area to investigate when troubleshooting Kerberos authentication issues is the configuration of Service Principal Names (SPNs) for the Tableau Server. Incorrect or incomplete SPN configuration can prevent proper authentication, as Kerberos relies on SPNs to associate service instances with service logon accounts. Option A is incorrect because while web browser compatibility is important, it is not typically the cause of Kerberos-specific issues. Option C is incorrect as network speed, while impacting overall performance, is less likely to be a direct factor in Kerberos authentication problems. Option D is incorrect because the frequency of synchronization between Tableau Server and the domain controller is not typically a factor in Kerberos authentication issues.

Investigate scheduled activities, such as extract refreshes or subscriptions, occurring during those times When high CPU usage is observed at specific times of the day, the best initial action is to investigate scheduled server activities, such as extract refreshes or report subscriptions, that might be occurring during those times. Understanding the cause of the CPU spikes can inform more targeted actions, such as rescheduling these activities or optimizing them for better re-source usage. Option A is incorrect because upgrading hardware should be considered only after assessing and addressing the causes of high CPU usage within the current setup. Option C is incorrect as limiting user access is a reactive measure that does not address the root cause of the high CPU usage. Option D is incorrect because ignoring the pattern might lead to overlooking potential performance issues that could impact server stability and user experience.

Optimizing the data source by reviewing and refining complex calculations and data relationships The initial approach to resolving slow query performance due to a data source should be to optimize the data source itself. This includes reviewing complex calculations, data relationships, and query structures within the data source to identify and address inefficiencies. This optimization can significantly improve query performance without needing more drastic measures. Option A is incorrect as restructuring the underlying database is a more extensive and complex solution that should be considered only if data source optimization does not suffice. Option C is incorrect because replacing the data source with a pre-aggregated summary might not be feasible or appropriate for all analysis needs. Option D is incorrect as increasing extract refresh frequency does not directly address the root cause of slow query performance in the data source itself.

Installing RMT agents on each node of the Tableau Server cluster For the Re-source Monitoring Tool to effectively monitor a Tableau Server deployment, it is essential to install RMT agents on each node of the Tableau Server cluster. This ensures comprehensive monitoring of system performance, resource usage, and potential issues across all components of the cluster. Option A is incorrect because monitoring all network traffic is not the primary function of RMT; it is focused more on system performance and resource utilization. Option B is incorrect as having a dedicated database for RMT is beneficial but not crucial for the basic monitoring functionality. Option C is incorrect because automatic restart of services is not a standard or recommended feature of RMT and could lead to unintended disruptions.

Accuracy of data and dashboard recovery post-failover The accuracy of data and dashboard recovery post-failover is crucial in validating a disaster recovery/high availability strategy. This ensures that after a failover, all data, visualizations, and dashboards are correctly re-stored and fully functional, maintaining the integrity and continuity of business operations. Option A is incorrect because while the frequency of backups is important, it does not directly validate the effectiveness of data recovery in a disaster scenario. Option B is incorrect as the speed of failover, although important for minimizing downtime, does not alone ensure data integrity post-recovery. Option D is incorrect because network bandwidth, while impacting the performance of the failover process, does not directly relate to the accuracy and integrity of the recovered data and dashboards.

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.

Adjusting the cache to balance between frequent refreshes and maintaining some level of cached data For dashboards that are frequently updated with real-time data, the caching strategy should aim to balance between frequent cache refreshes and maintaining a level of cached data. This approach allows for relatively up-to-date information to be displayed while still taking advantage of caching for improved performance. Option A is incorrect because a very long cache duration may lead to stale data being displayed in scenarios with frequent updates. Option B is incorrect as refreshing the cache only during off-peak hours might not be suitable for dashboards requiring real-time data. Option D is incorrect because relying solely on disk-based caching does not address the need for balancing cache freshness with performance in a real-time data scenario.

In the Tableau Server logs directory, containing details on installation processes and errors The installation logs for Tableau Server are typically located in the Tableau Server logs directory. These logs provide detailed information on the installation process, including any errors or issues that may have occurred. This is essential for troubleshooting installation-related problems. Option A is incorrect because the database server logs focus on database queries and do not provide detailed information about the Tableau Server installation process. Option B is incorrect as the data directory primarily contains data related to user interactions, not installation logs. Option D is incorrect because the operating system's event viewer captures system-level events, which may not pro-vide the detailed information specific to Tableau Server's installation processes.

Adopt a mixed licensing strategy, combining core-based and user-based licenses according to departmental usage patterns This approach allows for flexibility and cost-effectiveness by tailoring the licensing model to the specific needs of different departments, considering their us-age frequency and data access requirements. Option A is incorrect because it may not be cost-effective and does not consider the varying needs of different departments. Option B is incorrect as it does not account for the diverse usage patterns and could lead to unnecessary expenses for infrequent users. Option D is incorrect because core-based licensing alone may not be the most efficient choice for all user types, particularly those with low usage.