Tableau TCA-C01 Exam Questions

Isolating critical services like Data Server and Repository on separate nodes, while collocating less critical services Isolating critical services enhances security and performance, especially for a financial institution, while collocating less critical services can optimize resource us-age and management. Option A is incorrect because isolating all services may lead to underutilization of resources and increased complexity. Option B is incorrect as collocating all services on a single node can create a single point of failure and performance bottlenecks. Option D is incorrect be-cause a strategic approach is necessary for efficient and secure service-to-node relationships.

Checking for and resolving any software conflicts, such as incompatible versions of dependencies or conflicting applications When facing an error related to software conflicts during the installation of Tableau Server on Windows, the initial step should be to check for and resolve these conflicts. This may involve updating dependencies to compatible versions or addressing conflicts with other applications on the system. Option A is incorrect as upgrading the operating system, while potentially helpful, is not the first step to take before identifying specific software conflicts. Option C is incorrect because disconnecting from the network does not address software compatibility issues on the system. Option D is incorrect as changing regional and language settings is unlikely to resolve software conflicts affecting the installation of Tableau Server.

The 'data_connections' table to gain insights into connections and performance of published data sources The 'data_connections' table in the Tableau repository schema is critical for tracking the performance of published data sources. It provides detailed information on each connection made to the data sources, offering insights into how these data sources are being accessed and utilized, which is crucial for understanding and optimizing their performance. Option A is incorrect because the 'users' table, while identifying users, does not provide specific information on data source performance. Option C is incorrect as the 'background_tasks' table focuses on scheduled tasks and does not offer detailed insights into real-time data source performance. Option D is incorrect because the 'server_usage' table provides a broad overview of server activity but does not offer the granular details required for monitoring specific data source performance.

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.

Using cron jobs to schedule and execute backup scripts at regular intervals On a Linux system, cron jobs are the recommended method for deploying automated backup scripts for Tableau Server. Cron allows for the precise scheduling of scripts to run at regular intervals, ensuring consistent and automated backups without the need for manual initiation. Option A is incorrect be-cause the Tableau Server web interface does not provide a mechanism for automating server-level scripts like backups. Option C is incorrect as relying solely on a third-party cloud service for back-ups does not address the need for local script automation and management. Option D is incorrect because manual initiation is not efficient for regular maintenance tasks like backups.