For a medium-sized organization with moderate Tableau usage, how should service-to-node relationships be structured to balance performance and resource utilization?
Correct Answer:C
Strategically collocating services based on usage patterns and workload compatibility Strategic collocation of services based on usage patterns and workload compatibility can optimize performance and resource utilization for a medium-sized organization, balancing cost and efficiency. Option A is incorrect because collocating all services on a single node might not provide the best performance balance. Option B is incorrect as isolating each service can lead to unnecessary resource utilization and increased costs. Option D is incorrect because random distribution does not ensure an efficient or effective balance of load and resources.
A financial services company needs to ensure the highest level of data security in its Tableau Server deployment. Which configuration best addresses their need for both encryption at rest and encryption over the wire?
Correct Answer:C
Implementing both SSL/TLS for data in transit and at-rest encryption for stored data This configuration ensures that data is encrypted both when it’s being transmitted over the network (SSL/TLS) and when it’s stored on disk (at-rest encryption), providing comprehensive security for sensitive financial data. Option A is incorrect because it does not address the requirement for encryption of data at rest. Option B is incorrect as it suggests using unencrypted external file storage, which is not secure. Option D is incorrect because relying only on network-level encryption leaves data at rest unsecured.
When building an administrative dashboard for monitoring server performance in Tableau, what key metric should be included to effectively track server health?
Correct Answer:B
The average load time of views on the server Including the metric of average load time of views on a Tableau Server administrative dashboard is crucial for effectively tracking server health. This metric provides insights into the server’s performance and user experience, high-lighting potential issues or bottlenecks in view rendering that could affect overall server efficiency. Option A is incorrect because the number of published workbooks, while informative, does not directly indicate server health or performance. Option C is incorrect as the total number of registered users does not provide immediate insight into the current performance or health of the server. Option D is incorrect because the frequency of extract refreshes, while important for data freshness, does not directly reflect server performance in terms of view load times.
A small consulting firm is implementing Tableau Server for its team of 20 analysts. What hardware and network configuration would be most suitable for this size of deployment?
Correct Answer:B
Moderate-capacity server with reliable network connectivity, adequate for small team collaboration For a small team of 20 analysts, a moderate-capacity server with reliable network connectivity provides a balanced and cost-effective solution, ensuring good performance without over-investing in unnecessary high-end infrastructure. Option A is incorrect because enterprise-grade infrastructure is excessive for a small team and may not be cost-effective. Option C is incorrect as the highest available specifications may be overkill for a small consulting firm and not a financially prudent choice. Option D is incorrect because consumer-grade hardware and a standard residential internet connection may not provide the reliability and performance needed for professional Tableau use.
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?
Correct Answer:B
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.