Free Practice Questions for Salesforce Analytics-Arch-201 Exam

Verifying that all required dependencies are installed and up-to-date on the Linux system When facing a dependency resolution error during the installation of Tableau Server on Linux, the first step should be to verify that all necessary dependencies are installed and up-to-date. Dependency issues often arise from missing or outdated packages, and ensuring that the sys-tem meets all pre-installation requirements is key to resolving these issues. Option A is incorrect be-cause disabling firewall and antivirus software does not typically address dependency resolution problems. Option C is incorrect as configuring network settings for unrestricted internet access is not a standard approach to resolving dependency issues. Option D is incorrect because changing the hostname of the server is unlikely to resolve dependency-related installation errors.

The average number of views created by users per month For an admin dashboard aimed at tracking user engagement on Tableau Server, including the metric of the average number of views created by users per month is vital. This metric offers a clear insight into how actively users are interacting with and utilizing the server, thereby indicating the level of engagement and adoption. Option A is incorrect because disk space usage, while important, does not directly measure user engagement. Option C is incorrect as uptime and downtime statistics, while crucial for overall server health, do not directly indicate user engagement. Option D is incorrect because the total number of active users provides a static measure and does not reflect the dynamic nature of user engagement over time.

Increase the “gateway.timeout” value to allow longer processing time for complex visualizations Increasing the “gateway.timeout” value allows more time for the server to process complex visualizations without timing out, which is essential for a company focusing on de-tailed and complex data visualizations. Option B is incorrect as decreasing session expiry timeout may interrupt the visualization process. Option C is incorrect because limiting extracts refresh frequency does not directly impact the processing time of complex visualizations. Option D is incorrect as decreasing data server timeout might result in insufficient time for data retrieval, especially for complex queries.

Ensuring the method allows for the synchronization of user roles and permissions between Tableau Server and Tableau Cloud When choosing an authentication method for a Tableau environment that includes both Tableau Server and Tableau Cloud, it is important to ensure that the method allows for synchronization of user roles and permissions between the two plat-forms. This synchronization is key to maintaining consistent access control and user management across both environments. Option A is incorrect because the requirement for different user permissions in Tableau Server and Tableau Cloud is not a standard consideration for authentication methods. Option B is incorrect as automatic user provisioning is beneficial but not a primary consideration for choosing an authentication method in mixed environments. Option C is incorrect because compatibility with both Tableau Server and Tableau Cloud is important, not just with the version of Tableau Server.

Setting the appropriate environment variables and initializing the Tableau Server installation When installing Tableau Server on Linux, it’s essential to set the appropriate environment variables and initialize the Tableau Server installation through the CLI or Installation Wizard. This involves specifying configuration settings such as data directory paths and ensuring that the system meets all prerequisites for installation. Option A is incorrect because assigning a static IP ad-dress, while important for network configuration, is not part of the Tableau Server installation process. Option B is incorrect as configuring the firewall to allow all traffic is overly permissive and not a recommended security practice. Option D is incorrect because a GUI is not necessary for Tableau Server installation on Linux, which can be fully performed via CLI.

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.

The Tableau Server log files located in the Tableau Server data directory For troubleshooting startup issues with Tableau Server on Linux, the Tableau Server log files located in the data directory of Tableau Server are the most relevant. These logs contain detailed information about the server’s operations and can provide insights into specific errors or issues occurring during the startup process. Option A is incorrect because kernel logs, while useful for hardware-related di-agnostics, are less likely to contain specific information about Tableau Server startup issues. Option C is incorrect as web server logs are more focused on HTTP traffic and may not provide detailed information about Tableau Server’s internal startup processes. Option D is incorrect because network logs, while important for diagnosing connectivity issues, are not the primary source of information for startup problems in Tableau Server.

Scheduling extract refreshes during off-peak hours to minimize impact on performance An effective architectural adjustment in response to performance impacts from data ex-tract refreshes is to reschedule these refreshes to off-peak hours. This change minimizes the performance impact during business hours when server demand is typically higher, thereby maintaining better overall server performance. Option A is incorrect because switching all data extracts to live connections might not be feasible or desirable for all data sources and can have its own performance implications. Option C is incorrect as completely disabling extract refreshes could compromise data freshness and functionality for users. Option D is incorrect because while upgrading the CPU may improve performance, it does not address the core issue of extract refreshes impacting server use during peak times.

Using the REST API to create a script that automates the publishing of work-books at set intervals The REST API is a powerful tool for automating the publishing of workbooks to Tableau Server. By creating a script that uses the REST API, workbooks can be automatically published at predetermined intervals, streamlining the update process and ensuring that the server always hosts the latest versions of the workbooks. Option A is incorrect because webhooks respond to events within Tableau Server and are not designed for automating tasks based on changes in external directories. Option C is incorrect as manual uploads, while providing control, are inefficient for regular and bulk publishing tasks. Option D is incorrect because relying on Tableau Desktop’s publishing features for each update lacks the automation and efficiency needed for regular and large-scale publishing tasks.

Mirroring the hardware and software configurations of the production environment as closely as possible When setting up a test environment for load testing, it is crucial to mirror the production environment’s hardware and software configurations as closely as possible. This similarity ensures that the test results are representative of how the Tableau Server would perform in the actual production setting, providing reliable and actionable insights. Option A is incorrect because having significantly higher specifications in the test environment can provide misleading results that do not reflect the actual production performance. Option C is incorrect as using a simplified dataset might not adequately represent the complexity of real-world usage in the production environment. Option D is incorrect because excluding security protocols can affect performance measurements and does not accurately reflect the production environment’s constraints.