Salesforce Updated Analytics-Arch-201 Exam Questions and Answers by faizan

Utilizing a comprehensive system monitoring tool that tracks metrics like CPU usage, memory, disk space, and network activity The recommended strategy for enhancing performance in a Tableau Server environment involves using a comprehensive system monitoring tool. This tool should track various key metrics such as CPU usage, memory utilization, disk space, and net-work activity. These metrics provide valuable insights into the health and performance of the hard-ware and operating system, enabling timely identification and resolution of potential bottlenecks. Option A is incorrect because relying solely on Tableau Server’s internal monitoring tools may not provide complete insights into the operating system and hardware-related metrics. Option C is in-correct as focusing only on network activity overlooks other critical system metrics that affect performance. Option D is incorrect because manually recording system metrics weekly is inefficient and does not provide real-time insights, which are crucial for proactive performance management.

Ensuring that Tableau Bridge is installed on a machine with a constant and stable internet connection For effective implementation of Tableau Bridge, it is essential to install it on a machine with a reliable and stable internet connection. This is crucial for maintaining live data connectivity from on-premises data sources to Tableau Cloud, ensuring that the data remains up-to-date and accessible for cloud-based analytics. Option A is incorrect because dedicating a server solely for Tableau Bridge is not necessary and may be resource-intensive. Option C is incorrect as installing Tableau Bridge on every user’s local machine is impractical and can lead to management and security issues. Option D is incorrect because Tableau Bridge’s primary function is to enable live data connectivity, not just scheduled refreshes during off-peak hours.

Including a variety of dashboards and data sources that reflect the actual usage patterns seen in the production environment For the test results to be meaningful and applicable, it is important to include a variety of dashboards and data sources in the test environment that closely mimic the actual usage patterns of the production environment. This approach ensures that the load testing covers a range of scenarios and provides insights that are relevant to the real-world operation of the Tableau Server. Option A is incorrect because using older hardware might not accurately rep-resent the current production environment and could provide skewed results. Option C is incorrect as completely isolating the test environment may not be practical and can omit important interactions that could impact performance. Option D is incorrect because testing should simulate a variety of conditions, including peak usage times, to fully understand the server’s capabilities.

Analyzing the server logs on both Tableau Server and the database server to identify any error patterns or connection failures To effectively identify the root cause of database connectivity issues in a multi-node Tableau Server deployment, analyzing server logs on both the Tableau Server nodes and the database server is crucial. This approach allows for the identification of specific error messages, patterns, or connection failures that can lead to a better understanding of the issue and guide targeted solutions. Option A is incorrect because replacing network hardware immediately is a premature action without first identifying the exact cause of the connectivity is-sues. Option C is incorrect as restricting access to the database server does not address the underlying cause of the connectivity problems and may limit functionality. Option D is incorrect because migrating to a new database server is a significant undertaking and should be a last resort after other troubleshooting steps have been exhausted.