Analytics-Arch-201 Exam Dumps - Salesforce Architect Exams Questions and Answers

To provide Tableau Server with the necessary permissions while limiting its access to only what is required for operation Using a dedicated ‘Run As’ service account for Tableau Server on Windows is important to provide the server with necessary permissions while ensuring it has limited access confined to what is required for its operation. This practice enhances security by restricting the server’s access to system resources and reducing the potential impact in case of a security breach. Option A is incorrect because granting unlimited administrative access to all system resources poses a significant security risk and is not a recommended practice. Option C is incorrect as providing all network users with administrative access to Tableau Server is unnecessary and would compromise security. Option D is incorrect because the ‘Run As’ service account’s primary purpose is not to facilitate automatic updates, but to manage permissions and access securely.

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 schedule and 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.

It can be used for tasks like data extraction and background jobs An unlicensed node in a Tableau Server deployment is typically used for running background tasks such as data extraction, subscription tasks, or other background jobs. This helps in offloading these tasks from the licensed nodes, ensuring better performance of the core server functions. Option A is incorrect because an unlicensed node cannot function as a backup for the primary server as it does not handle live server tasks or user interaction. Option B is incorrect as user authentication requests are man-aged by licensed nodes that have the necessary capabilities and access to security settings. Option D is incorrect because load balancing of user requests is a function that requires a licensed node, as it involves direct user interaction and data processing.

The synchronization of system clocks between Tableau Server and the third-party application A common issue in trusted authentication is the lack of synchronization in system clocks between Tableau Server and the third-party application. Because trusted authentication often involves time-sensitive tokens, discrepancies in system times can lead to failed authentication at-tempts. Ensuring synchronized clocks is crucial for the smooth functioning of trusted authentication. Option A is incorrect because while data encryption is important, it is not typically the cause of trusted authentication-specific issues. Option B is incorrect as SSL certificate validity, though crucial for secure connections, is not usually the direct cause of issues in trusted authentication. Option D is incorrect because network latency, while affecting overall performance, does not typically impact the functionality of trusted authentication.

The Tableau Server log files, especially the “tabadmin.log” and “tabsvc.log” files When facing startup issues with Tableau Server on a Windows system, the Tableau Server log files, particularly “tabadmin.log” and “tabsvc.log,” should be reviewed first. These logs can provide detailed insights into the startup process and highlight any errors or issues that are preventing the server from starting correctly. Option A is incorrect because antivirus logs, while useful for checking interference with program files, are not the primary source for diagnosing startup issues with Tableau Server. Option C is incorrect as SQL Server logs are more relevant for database-related issues and may not provide specific details on Tableau Server startup problems. Option D is incorrect be-cause user access logs generally do not contain information relevant to system startup 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.

Utilize Tableau’s built-in log management tools to regularly collect and review logs, focusing on times of reported issues The most effective strategy for analyzing performance issues is to utilize Tableau’s built-in log management tools for regular log collection and analysis. This approach enables administrators to systematically review logs, particularly focusing on periods when issues are reported. Regular and focused analysis helps in identifying and resolving performance problems more efficiently. Option A is incorrect because storing logs only during critical errors may omit valuable information needed for comprehensive performance analysis. Option C is incorrect as manually collecting logs daily is inefficient and may not capture relevant data in real-time. Option D is incorrect because while third-party tools can be useful, relying exclusively on them might overlook the specific capabilities and integrations of Tableau’s built-in log management tools.

For complex data blending and analytics tasks that are resource-intensive Utilizing external services for complex and resource-intensive tasks like data blending and analytics can help in optimizing the performance of the Tableau environment by offloading these demanding processes. Option A is incorrect because basic data visualization tasks are typically well-handled by Tableau Server itself. Option C is incorrect as external services can be beneficial for specific re-source-intensive tasks. Option D is incorrect because using external services for all tasks, regardless of complexity, can be inefficient and unnecessary.

Establish a multi-node Tableau Server cluster with load balancing and failover capabilities This approach ensures high availability and robust disaster recovery by distributing the load across multiple nodes and providing failover capabilities in case of a node failure, which is critical for a financial institution’s continuous operation. Option A is incorrect because a single node does not provide high availability or disaster recovery capabilities. Option C is incorrect as regular data backups are important but not sufficient for high availability and immediate failover needs. Option D is incorrect because relying solely on a cloud-based service without on-premises disaster recovery plans may not meet the specific compliance and control requirements of a global financial institution.

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.