For automating routine maintenance tasks on a Tableau Server installed on a Windows system, which method would be most suitable for deploying scripts?

1. A. Utilizing Tableau Desktop to run maintenance scripts at scheduled times
2. B. Employing Windows Task Scheduler to automate and manage the execution of maintenance scripts
3. C. Implementing a continuous integration tool like Jenkins for script execution
4. D. Manually running scripts through the command line interface each time

Correct Answer: B
Employing Windows Task Scheduler to automate and manage the execution of maintenance scripts For a Tableau Server on a Windows system, Windows Task Scheduler is the most suitable tool forautomating routine maintenance scripts. It allows for the scheduling and management of script execution, ensuring that maintenance tasks are performed consistently and efficiently without manual intervention. Option A is incorrect because Tableau Desktop is not designed for automating server maintenance tasks. Option C is incorrect as while Jenkins can be used for continuous integration, it may be more complex than necessary for simple maintenance tasks. Option D is incorrect because manually running scripts is time-consuming and not efficient for routine maintenance.

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

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

Correct Answer: A
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, tounderstand how the server performs under typical operating conditions.

A healthcare organization is planning to deploy Tableau for data analysis across multiple departments with varying usage patterns. Which licensing strategy would be most effective for this organization?

1. A. Purchase a single enterprise-wide license and distribute access uniformly across all departments
2. B. Acquire individual licenses for each user, regardless of their usage frequency or data access needs
3. C. Adopt a mixed licensing strategy, combining core-based and user-based licenses according to departmental usage patterns
4. D. Use only core-based licensing for all users to simplify the licensing process

Correct Answer: C
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.

To automate the process of refreshing extracts on Tableau Server, which tool or API would be most effective for scheduling this task?

1. A. Utilizing webhooks to trigger extract refreshes based on user interactions within the server
2. B. Employing tabcmd to schedule and execute extract refreshes at specified intervals
3. C. Using the Hyper API to manually initiate extract refreshes each time data changes
4. D. Relying on manual refreshes through the Tableau Server web interface for precise control

Correct Answer: B
Employing tabcmd to schedule and execute extract refreshes at specified inter-vals Tabcmd is a highly effective tool for automating extract refreshes on Tableau Server. It can be used to scheduleand execute extract refreshes at regular, specified intervals, ensuring that the data remains up-to-date without requiring manual intervention each time. Option A is incorrect because webhooks are typically used for event-driven actions and are less suited for regularly scheduled tasks like extract refreshes. Option C is incorrect as the Hyper API is more focused on creating and updating extracts, not on scheduling their refreshes. Option D is incorrect because relying on manual refreshes is time-consuming and not feasible for consistent data updates in a large-scale environment.

In configuring a strategy to monitor Tableau Server process metrics, what is an essential aspect to include for ensuring proactive maintenance?

1. A. Setting up alerts for when server processes reach their maximum capacity thresholds
2. B. Analyzing historical data once a month to identify long-term trends in server performance
3. C. Only monitoring the most frequently used dashboards and data sources on the server
4. D. Conducting a manual review of server logs whenever a new Tableau version is deployed

Correct Answer: A
Setting up alerts for when server processes reach their maximum capacity thresholds An essential aspect of a strategy to monitor Tableau Server process metrics is setting up alerts for when key server processes approach or reach their maximum capacity thresholds. This pro-active approach allows administrators to address potential issues before they impact server performance or user experience, ensuring smoother operations. Option B is incorrect as analyzing historical data monthly might miss immediate issues and emerging trends that require quicker responses. Option C is incorrect because focusing only on the most used dashboards and data sources does not provide a complete picture of server performance. Option D is incorrect because while reviewing server logs after new deployments is important, it is not a substitute for continuous monitoring of process metrics.