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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.

Thoroughly planning the integration of data sources, user permissions, and content from each server Careful planning of how to integrate data sources, user permissions, and content is crucial to ensure that all elements function cohesively in the new consolidated server, minimizing disruptions to users and business operations. Option A is incorrect because consolidating all servers simultaneously can be overwhelming and may lead to significant issues. Option C is incorrect as neglecting the impact on users can result in access issues and dissatisfaction. Option D is in-correct because decommissioning other servers before consolidation can disrupt ongoing operations and access to data.

The time synchronization between Tableau Server and the SAML identity provider Ensuring time synchronization between Tableau Server and the SAML identity provider is a common and crucial aspect to check when troubleshooting SAML authentication issues. SAML assertions often have time constraints, and discrepancies in system times can lead to failed authentications. Option A is incorrect because network bandwidth and latency, while important for overall performance, are less likely to be the cause of SAML-specific issues. Option C is incorrect as storage capacity of the Tableau Server is generally not related to handling SAML authentication re-quests. Option D is incorrect because version compatibility of the web browser, while important for user experience, is not a common cause of SAML authentication problems.

The number of views created by users per month Including the metric of the number of views created by users per month on an administrative dashboard is effective for monitoring user engagement on Tableau Server. This metric provides valuable insights into how actively users are interacting with and utilizing the server, indicating the level of engagement and adoption of the platform. Option A is incorrect because disk space usage, while important for server maintenance, does not directly measure user engagement. Option C is incorrect as server uptime and downtime statistics, while critical for overall server health monitoring, do not directly reflect user engagement. Option D is incorrect because the amount of network traffic, although indicative of server usage, does not specifically measure user engagement in creating and interacting with views.

Frequent, automated backups of Tableau Server data, configuration, and content, stored in an off-site location An effective component of an automated complex disaster recovery plan for a large organization’s Tableau Server is the implementation of frequent, automated backups. These backups should include all critical data, configuration settings, and content, and they should be stored in an off-site location to protect against site-specific disasters. This approach ensures data integrity and enables rapid recovery of services in the event of a disaster. Option B is incorrect because a single annual backup is insufficient for a comprehensive disaster recovery strategy and does not account for frequent data changes. Option C is incorrect as continuous, real-time backups of all user interactions are generally not feasible and may be excessive for disaster recovery needs. Option D is incorrect because relying solely on RAID configurations, while useful for data redundancy, does not constitute a complete disaster recovery solution. RAID does not replace the need for regular off-site backups.

Setting up rate limits to control the number of requests to the Metadata API Setting up rate limits for the Metadata API is essential to manage the load on the Tableau Server and to prevent abuse of the API. Rate limiting helps to maintain the server’s performance and stability by controlling the number and frequency of requests processed by the Metadata API. Option A is incorrect because regularly changing the API key, while a good security practice, is not specifically related to the performance and security of the Metadata API in operation. Option C is incorrect as running the Metadata API on a separate server is not a standard requirement and does not directly contribute to its effective performance. Option D is incorrect because adding an extra encryption layer to Metadata API responses is generally unnecessary and can add undue complexity, as the API should already operate under secure protocols.

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.

The expiration dates of the SSL certificates on both the client and server A common issue in Mutual SSL authentication is the expiration of SSL certificates. Checking the expiration dates of the certificates on both the client and server sides is crucial, as expired certificates will prevent successful authentication. Regular monitoring and timely renewal of certificates are key to maintaining uninterrupted Mutual SSL connections. Option A is incorrect because while browser compatibility is important, it is not a common cause of Mutual SSL issues. Option C is incorrect as network bandwidth, while important for overall connectivity, does not directly impact Mutual SSL authentication. Option D is incorrect because the version of Tableau Server is generally not related to specific SSL protocol versions for Mutual SSL authentication.

Testing with the maximum number of users simultaneously to assess the peak performance capacity When recommending a load testing strategy for Tableau Server, it is crucial to test with the maximum number of users simultaneously. This approach assesses the server’s peak performance capacity and helps identify potential bottlenecks or issues that could arise under maxi-mum load, ensuring that the server can handle high user demand. Option B is incorrect because focusing solely on complex dashboards does not provide a complete picture of the server’s performance under varying conditions. Option C is incorrect as conducting tests only during off-peak hours might not accurately reflect the server’s performance during normal operational loads. Option D is incorrect because limiting the testing to only a few selected reports does not fully stress test the server’s capacity to handle a realistic and diverse set of user demands.

Using Tableau Server’s built-in local identity store for simplicity and ease of management For a small startup with limited resources, using Tableau Server’s built-in local identity store offers a simple and manageable solution, avoiding the complexity and cost of more advanced systems. Option A is incorrect as a complex LDAP system might be too resource-intensive for a small startup. Option C is incorrect because integrating with an external enterprise-level provider might be unnecessary and costly for a small team. Option D is incorrect because requiring separate credentials can lead to inefficient user management and a poor user experience.