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Tableau TCA-C01 Exam
Tableau Certified Architect (Page 13 )

Updated On: 1-Feb-2026
Page 8 of 41
PDF with 200 Questions

After analyzing observability data from Tableau Server, you find that response times for certain dashboards are consistently longer than others.
What should be your initial response to this finding?

  1. Recommending the redesign of all slower dashboards to simplify their complexity
  2. Examining the specific dashboards for inefficient calculations, complex queries, or large da-ta sources
  3. Increasing the memory allocation to Tableau Server to improve dashboard response times
  4. Advising users to avoid using those dashboards during peak hours

Answer(s): B

Explanation:

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.



A large organization plans to consolidate several Tableau Server instances into a single server.
What is the most important consideration to ensure a successful consolidation?

  1. Consolidating all servers simultaneously to minimize the transition period
  2. Thoroughly planning the integration of data sources, user permissions, and content from each server
  3. Focusing solely on the technical aspects and not on the user impact of consolidation
  4. Immediately decommissioning all other servers before starting the consolidation process

Answer(s): B

Explanation:

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.



Based on observability data showing consistent high load on Tableau Server's primary node, which architectural revision should be considered to improve performance?

  1. Switching to a different operating system for the Tableau Server
  2. Adding worker nodes to distribute the load more evenly across the server architecture
  3. Increasing the bandwidth of the network on which Tableau Server is hosted
  4. Consolidating all server processes on the primary node to simplify management

Answer(s): B

Explanation:

Adding worker nodes to distribute the load more evenly across the server architecture When observability data indicates a consistent high load on Tableau Server's primary node, adding worker nodes is a strategic architectural revision to consider. This approach helps distribute the workload more evenly across the server, potentially improving performance and reducing the strain on the primary node. Option A is incorrect because switching the operating system does not directly address the issue of load distribution across the server architecture. Option C is incorrect as increasing network bandwidth, while beneficial for data transfer, does not resolve high load issues on the server's primary node. Option D is incorrect because consolidating all processes on the prima-ry node would likely exacerbate the high load issue rather than alleviate it.



In configuring a strategy to monitor Tableau Server process metrics, what is an essential aspect to include for ensuring proactive maintenance?

  1. Setting up alerts for when server processes reach their maximum capacity thresholds
  2. Analyzing historical data once a month to identify long-term trends in server performance
  3. Only monitoring the most frequently used dashboards and data sources on the server
  4. Conducting a manual review of server logs whenever a new Tableau version is deployed

Answer(s): A

Explanation:

Setting up alerts for when server processes reach their maximum capacity thresholds An essential aspect of a strategy to monitor Tableau Server process metrics is setting up alerts for when key server processes approach or reach their maximum capacity thresholds. This pro-active approach allows administrators to address potential issues before they impact server performance or user experience, ensuring smoother operations. Option B is incorrect as analyzing historical data monthly might miss immediate issues and emerging trends that require quicker responses. Option C is incorrect because focusing only on the most used dashboards and data sources does not provide a complete picture of server performance. Option D is incorrect because while reviewing server logs after new deployments is important, it is not a substitute for continuous monitoring of process metrics.



When implementing extract encryption in Tableau Server, what is a crucial step to secure the data extracts stored on the server?

  1. Configuring a VPN tunnel for all data extract transfers to and from Tableau Server
  2. Enabling at-rest encryption for data extracts within Tableau Server's configuration settings
  3. Implementing a network intrusion detection system to monitor extract file accesses
  4. Increasing the storage capacity of the server to accommodate the additional space required by encrypted extracts

Answer(s): B

Explanation:

Enabling at-rest encryption for data extracts within Tableau Server's configuration settings Enabling at-rest encryption for data extracts within Tableau Server's configuration is essential for securing the data extracts stored on the server. This feature encrypts the extract files stored on the server, protecting sensitive data from unauthorized access, especially if the server's storage is compromised. Option A is incorrect as configuring a VPN tunnel addresses data in transit, not data at rest like extracts stored on the server. Option C is incorrect because a network intrusion detection system, while important for overall security, does not directly encrypt data extracts. Option D is incorrect as increasing storage capacity does not directly contribute to the encryption or security of data extracts.



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