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Free TCA-C01 Exam Braindumps (page: 15)

Page 14 of 51
PDF with 200 Questions

When building an administrative dashboard for monitoring server performance in Tableau, what key metric should be included to effectively track server health?

  1. The number of published workbooks on the server
  2. The average load time of views on the server
  3. The total number of users registered on the server
  4. The frequency of extract refreshes occurring on the server

Answer(s): B

Explanation:

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.



In using TabJolt for load testing Tableau Server, what is important to configure in TabJolt to simulate real-world usage effectively?

  1. The maximum number of concurrent users that TabJolt should simulate
  2. The specific IP addresses of the users that will be simulated by TabJolt
  3. A constant load pattern throughout the testing period
  4. Testing only during the server's scheduled maintenance windows

Answer(s): A

Explanation:

The maximum number of concurrent users that TabJolt should simulate Config-uring TabJolt to simulate the maximum number of concurrent users is important for effective load testing. This setup allows for assessing how well Tableau Server handles high levels of concurrent usage, which is a critical aspect of real-world performance and capacity planning. Option B is incor-rect as specifying individual user IP addresses is not necessary for effective load testing and does not typically reflect real-world usage patterns. Option C is incorrect because varying the load pat-tern during testing can provide more comprehensive insights than a constant load pattern. Option D is incorrect because testing should ideally cover a range of scenarios, not just those during maintenance windows, to understand how the server performs under typical operating conditions.



In creating an appropriate test plan for load testing a Tableau Server deployment, which aspect is crucial to include for a comprehensive evaluation?

  1. Testing exclusively with the largest and most complex dashboards to evaluate the server's maximum capacity
  2. Including a mix of different user activities, such as viewing dashboards, publishing work-books, and performing data refreshes
  3. Focusing solely on the data extract refresh times to determine the overall server performance
  4. Limiting the test to a small, controlled group of users to maintain consistency in the testing process

Answer(s): B

Explanation:

Including a mix of different user activities, such as viewing dashboards, publishing workbooks, and performing data refreshes For a comprehensive evaluation in a load testing plan for Tableau Server, it's essential to include a variety of user activities. This approach ensures that the testing covers a broad range of interactions, such as viewing dashboards, publishing work-books, and performing data refreshes, thereby providing a more holistic view of the server's performance under different types of load. Option A is incorrect because testing exclusively with the largest and most complex dashboards does not represent the typical range of user activities. Option C is incorrect as focusing solely on data extract refresh times overlooks other crucial aspects of server performance. Option D is incorrect because limiting the test to a small user group does not adequately simulate the diverse and concurrent usage patterns seen in a production environment.



When troubleshooting Connected App authentication issues in Tableau Server, what factor should be primarily investigated?

  1. The speed and stability of the internet connection between the connected app and Tableau Server
  2. The correctness and validity of the client credentials used by the connected app
  3. The version compatibility of Tableau Server with the connected app
  4. The frequency of data synchronization between the connected app and Tableau Server

Answer(s): B

Explanation:

The correctness and validity of the client credentials used by the connected app A common area to focus on when troubleshooting Connected App authentication issues is the correctness and validity of the client credentials (client ID and secret). Incorrect or expired credentials can prevent the connected app from authenticating with Tableau Server, leading to access issues. Ensuring that these credentials are correct and up-to-date is crucial for resolving authentication problems. Option A is incorrect because while internet connectivity is important, it is not typically the primary cause of authentication issues. Option C is incorrect as version compatibility, although important, is less likely to be the direct cause of authentication problems. Option D is incorrect be-cause the frequency of data synchronization is generally not related to authentication issues with connected apps.






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