Tableau TCA-C01 Practice Test - Questions Answers, Page 3

Updates should be manually downloaded and vetted before being transferred to the air-gapped environment In an air-gapped environment, the standard method for software updates involves manually downloading and vetting updates on a secure system outside the environment. Once verified, these updates can then be securely transferred into the air-gapped environment using a physical medium. This process ensures that updates are carefully controlled and secure. Option A is incorrect as real-time updates via an internet connection are not possible in an air-gapped environment. Option C is incorrect because automatic updates require an internet connection, which is not available in an air-gapped setup. Option D is incorrect as establishing a satellite connection for updates would compromise the isolation of an air-gapped environment.

Optimizing the calculated fields by simplifying their formulas or pre-calculating values where possible The most effective action to resolve delays caused by complex calculated fields in a Tableau dashboard is to optimize these fields. This can be achieved by simplifying the formulas used in the calculations or pre-calculating values in the data source, if possible. This approach directly addresses the root cause of the delays without the need for extensive changes to the server or dashboard. Option A is incorrect because while increasing hardware specifications might improve performance, it does not address the inherent inefficiency of the complex calculations. Op-tion C is incorrect as limiting user access does not solve the underlying issue with the calculated fields. Option D is incorrect because rebuilding the entire dashboard is an excessive measure and may not be necessary if the calculated fields can be optimized.

Tableau Data Management Add-On for better data preparation and governance The Tableau Data Management Add-On provides tools for effective data preparation and strong data governance, which is crucial for an organization with a large user base to maintain data integrity and compliance. Option A is incorrect as Tableau Bridge focuses on live data connections and not specifically on data management and governance. Option C is incorrect because the Tableau Mobile App Bootcamp is about mobile access, not data governance. Option D is incorrect because while Tableau Prep Conductor is part of the Data Management Add-On, it alone does not cover the full scope of data management and governance needs.

The node should have more processing power and memory compared to other nodes in the deployment For optimal performance, the node dedicated to the backgrounder process should have more processing power and memory. This is because backgrounder tasks such as data extraction, subscription tasks, and complex calculations are resource-intensive and can benefit from additional computational resources. Option A is incorrect as while a fast network connection is beneficial, it is not the primary consideration for a backgrounder node, which relies more on processing power and memory. Option C is incorrect because the geographical location of the backgrounder node is less relevant than its hardware capabilities. Option D is incorrect as running a different operating system does not inherently improve the performance of the backgrounder node and may introduce compatibility issues.

Reviewing and optimizing the database queries used in Tableau workbooks for efficiency The first course of action when dealing with slow query response times from external databases, as indicated by a performance recording, should be to review and optimize the database queries used in Tableau workbooks. Optimizing queries can include simplifying them, reducing the amount of data queried, or improving the structure of the queries. This directly addresses the inefficiencies in the queries, potentially improving response times without the need for major infrastructure changes. Option A is incorrect because upgrading external database servers is a more resource-intensive solution and should be considered only if query optimization is not sufficient. Option C is incorrect as implementing caching mechanisms might alleviate some issues but does not address the root cause of slow query performance. Option D is incorrect because restricting the size of data ex-tracts does not necessarily improve the efficiency of the queries themselves.

The efficiency and speed of the backup restoration process The efficiency and speed of the backup restoration process are key factors in ensuring minimal downtime during a dis-aster recovery scenario. Quick and efficient restoration means that the Tableau Server can be brought back online promptly, reducing the impact on business operations. Option A is incorrect as the total size of data backups, while impacting storage requirements, does not directly determine the downtime during a recovery. Option B is incorrect because while compatibility is important, it does not directly impact the speed of recovery in a disaster situation. Option D is incorrect as the physical distance between servers can affect certain aspects of disaster recovery planning, but it is not the primary factor in ensuring minimal downtime.

Implement Tableau Bridge to establish a live connection to on-premises data-bases Tableau Bridge is specifically designed to allow real-time access to on-premises data from Tableau Cloud, making it the ideal solution for this scenario. Option A is incorrect because Tableau Prep Builder is used for data preparation, not for establishing live connections to on-premises data sources. Option C is incorrect as migrating all data to the cloud may not be feasible or desirable for all companies. Option D is incorrect because Tableau Cloud's native capabilities do not include direct live data connections to on-premises databases without Tableau Bridge.

Analyze server configurations and optimize performance settings before considering hardware upgrades Upon observing increased response times during peak activity in load testing, the appropriate initial action is to analyze and optimize server configurations and performance settings. This approach involves reviewing settings such as cache, parallelism, and other performance-related configurations that could impact response times, offering a potentially more cost-effective solution than immediate hardware upgrades. Option A is incorrect because adding hard-ware resources should be considered only after ensuring that the server configurations are fully optimized. Option C is incorrect as reducing the number of concurrent users may not address the underlying performance issues and could negatively impact user experience. Option D is incorrect be-cause ignoring the results can lead to ongoing performance issues, adversely affecting user satisfaction and server reliability.

Error codes or messages that indicate the specific nature of the installation failure When diagnosing an installation failure in Tableau Server, it is crucial to look for error codes or messages within the installation logs. These codes or messages can provide specific insights into what went wrong during the installation process, enabling targeted troubleshooting and resolution of the issue. Option A is incorrect because user access levels and permissions, while important, are not typically the primary focus when diagnosing an installation failure from the logs. Option B is incorrect as network bandwidth and latency are less likely to be detailed in installation logs and are not usually the primary causes of installation failures. Option D is incorrect because the number of users accessing the server during installation is unlikely to be a factor in installation failures and is not typically recorded in installation logs.