Examining the specific dashboards for inefficient calculations, complex queries, or large data sources When certain dashboards consistently show longer response times, the initial response should be to examine these specific dashboards for potential issues like inefficient calculations, overly complex queries, or the use of large data sources. Addressing these aspects can lead to significant improvements in dashboard performance. Option A is incorrect because a full redesign should only be considered after a detailed analysis of the dashboards to identify specific inefficiencies. Option C is incorrect as increasing memory allocation is a broader approach that may not ad-dress specific issues related to dashboard design and configuration. Option D is incorrect because advising users to avoid using certain dashboards does not solve the underlying performance issues.

Single sign-on (SSO) using an external identity provider compatible with their systems Implementing SSO with an external identity provider allows users to seamlessly and securely access both cloud and on-premises systems, providing a unified authentication experience. Option A is incorrect because local authentication in Tableau Cloud does not provide seamless integration with on-premises systems. Option C is incorrect as separate authentication for each system creates a disjointed user experience and increases the risk of security lapses. Option D is incorrect because manual authentication for each session is inefficient and does not provide the security and ease of access that SSO offers.

Optimizing the data source by reviewing and refining complex calculations and data relationships The initial approach to resolving slow query performance due to a data source should be to optimize the data source itself. This includes reviewing complex calculations, data relationships, and query structures within the data source to identify and address inefficiencies. This optimization can significantly improve query performance without needing more drastic measures. Option A is incorrect as restructuring the underlying database is a more extensive and complex solution that should be considered only if data source optimization does not suffice. Option C is incorrect because replacing the data source with a pre-aggregated summary might not be feasible or appropriate for all analysis needs. Option D is incorrect as increasing extract refresh frequency does not directly address the root cause of slow query performance in the data source itself.

Ensuring that the server has sufficient processing power and memory to handle the additional load from encrypting and decrypting extracts When implementing extract encryption in Tableau Server, it's important to ensure that the server is equipped with adequate processing power and memory. Encrypting and decrypting extracts can impose additional load on the server, so it's crucial to balance this security feature with the server's capability to maintain optimal performance. Option A is incorrect because it creates a mixed environment where some extracts are encrypted and others are not, leading to inconsistent security practices. Option C is incorrect as disabling extract encryption during peak times undermines the purpose of having consistent security measures. Option D is incorrect because the decision to encrypt extracts should not be based on the number of users accessing them, but rather on a uniform security policy.

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.