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Exam Code TCA-C01
Exam Name Tableau Certified Architect
Vendor Tableau
Total Questions 200
Last Updated 26-Oct, 2026
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Free TCA-C01 Practice Questions

Explore 5 free practice questions for the Tableau TCA-C01 exam and review the answers and explanations to support your preparation.

  1. Question 1

    Single answer

    In a scenario where Tableau Server’s dashboards are frequently updated with real-time data, what
    caching strategy should be employed to optimize performance?

    • Option A:
      Configuring the server to use a very long cache duration to maximize the use of cached data
      Correct
    • Option B:
      Setting the cache to refresh only during off-peak hours to reduce the load during high-usage
      periods
      Correct
    • Option C:
      Adjusting the cache to balance between frequent refreshes and maintaining some level of cached
      data
      Correct
    • Option D:
      Utilizing disk-based caching exclusively to handle the high frequency of data updates
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

    Explanation

    Adjusting the cache to balance between frequent refreshes and maintaining some level of cached
    data For dashboards that are frequently updated with real-time data, the caching strategy should aim
    to balance between frequent cache refreshes and maintaining a level of cached data. This approach
    allows for relatively up-to-date information to be displayed while still taking advantage of caching for
    improved performance. Option A is incorrect because a very long cache duration may lead to stale
    data being displayed in scenarios with frequent updates. Option B is incorrect as refreshing the cache
    only during off-peak hours might not be suitable for dashboards requiring real-time data. Option D is
    incorrect because relying solely on disk-based caching does not address the need for balancing cache
    freshness with performance in a real-time data scenario.
  2. Question 2

    Single answer

    If load testing results for Tableau Server show consistently low utilization of CPU and memory resources
    even under peak load, what should be the next step?

    • Option A:
      Further increase the load in subsequent tests to find the server's actual performance limits
      Correct
    • Option B:
      Immediately scale down the server's hardware to reduce operational costs
      Correct
    • Option C:
      Focus on testing network bandwidth and latency as the primary factors for performance
      optimization
      Correct
    • Option D:
      Stop further load testing as low resource utilization indicates optimal server performance
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: A

    Explanation

    Further increase the load in subsequent tests to find the server’s actual performance limits If load
    testing shows low utilization of CPU and memory resources under peak load, the next step is to
    increase the load in subsequent tests. This helps in determining the actual limits of the server’s
    performance and ensures that the server is tested adequately against potential real-world high-load
    scenarios. Option B is incorrect because scaling down hardware prematurely might not
    accommodate unexpected spikes in usage or future growth. Option C is incorrect as focusing solely
    on network factors without fully understanding the server’s capacity limits may overlook other
    performance improvement areas. Option D is incorrect because stopping further testing based on
    initial low resource utilization may lead to an incomplete understanding of the server’s true
    performance capabilities.
  3. Question 3

    Single answer

    During the validation of a disaster recovery/high availability strategy for Tableau Server, what is a key
    element to test to ensure data integrity?

    • Option A:
      Frequency of complete system backups
      Correct
    • Option B:
      Speed of the failover to a secondary server
      Correct
    • Option C:
      Accuracy of data and dashboard recovery post-failover
      Correct
    • Option D:
      Network bandwidth availability during the failover process
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

    Explanation

    Accuracy of data and dashboard recovery post-failover The accuracy of data and dashboard recovery
    post-failover is crucial in validating a disaster recovery/high availability strategy. This ensures that
    after a failover, all data, visualizations, and dashboards are correctly re-stored and fully functional,
    maintaining the integrity and continuity of business operations. Option A is incorrect because while
    the frequency of backups is important, it does not directly validate the effectiveness of data recovery
    in a disaster scenario. Option B is incorrect as the speed of failover, although important for
    minimizing downtime, does not alone ensure data integrity post-recovery. Option D is incorrect
    because network bandwidth, while impacting the performance of the failover process, does not
    directly relate to the accuracy and integrity of the recovered data and dashboards.
  4. Question 4

    Single answer

    When installing and configuring the Resource Monitoring Tool (RMT) server for Tableau Server, which
    aspect is crucial to ensure effective monitoring?

    • Option A:
      Configuring RMT to monitor all network traffic to and from the Tableau Server
      Correct
    • Option B:
      Ensuring RMT server has a dedicated database for storing monitoring data
      Correct
    • Option C:
      Setting up RMT to automatically restart Tableau Server services when performance thresholds are
      exceeded
      Correct
    • Option D:
      Installing RMT agents on each node of the Tableau Server cluster
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

    Explanation

    Installing RMT agents on each node of the Tableau Server cluster For the Re-source Monitoring Tool
    to effectively monitor a Tableau Server deployment, it is essential to install RMT agents on each node
    of the Tableau Server cluster. This ensures comprehensive monitoring of system performance,
    resource usage, and potential issues across all components of the cluster. Option A is incorrect
    because monitoring all network traffic is not the primary function of RMT; it is focused more on
    system performance and resource utilization. Option B is incorrect as having a dedicated database for
    RMT is beneficial but not crucial for the basic monitoring functionality. Option C is incorrect because
    automatic restart of services is not a standard or recommended feature of RMT and could lead to
    unintended disruptions.
  5. Question 5

    Single answer

    You identify that a particular Tableau data source is causing slow query performance. What should be
    your initial approach to resolving this issue?

    • Option A:
      Restructuring the underlying database to improve its performance
      Correct
    • Option B:
      Optimizing the data source by reviewing and refining complex calculations and data relationships
      Correct
    • Option C:
      Replacing the data source with a pre-aggregated summary data source
      Correct
    • Option D:
      Increasing the frequency of extract refreshes to ensure more up-to-date data
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

    Explanation

    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.