You identify that a particular Tableau data source is causing slow query performance. What should be
your initial approach to resolving this issue?
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.
When installing and configuring the Resource Monitoring Tool (RMT) server for Tableau Server, which
aspect is crucial to ensure effective monitoring?
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.
During the validation of a disaster recovery/high availability strategy for Tableau Server, what is a key
element to test to ensure data integrity?
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.
If load testing results for Tableau Server show consistently low utilization of CPU and memory re-
sources even under peak load, what should be the next step?
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.
In a scenario where Tableau Server’s dashboards are frequently updated with real-time data, what
caching strategy should be employed to optimize performance?
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.
When troubleshooting an issue in Tableau Server, you need to locate and interpret installation logs.
Where are these logs typically found, and what information do they primarily provide?
C
Explanation:
In the Tableau Server logs directory, containing details on installation processes and errors The
installation logs for Tableau Server are typically located in the Tableau Server logs directory. These
logs provide detailed information on the installation process, including any errors or issues that may
have occurred. This is essential for troubleshooting installation-related problems. Option A is
incorrect because the database server logs focus on database queries and do not provide detailed
information about the Tableau Server installation process. Option B is incorrect as the data directory
primarily contains data related to user interactions, not installation logs. Option D is incorrect
because the operating system’s event viewer captures system-level events, which may not pro-vide
the detailed information specific to Tableau Server’s installation processes.
When configuring Tableau Server for use with a load balancer, what is an essential consideration to
ensure effective load distribution and user session consistency?
B
Explanation:
Enabling sticky sessions on the load balancer to maintain user session consistent-cy Enabling sticky
sessions on the load balancer is crucial when integrating with Tableau Server. It ensures that a user’s
session is consistently directed to the same server node during their interaction. This is important for
maintaining session state and user experience, particularly when interacting with complex
dashboards or during data input. Option A is incorrect because while round-robin dis-attribution is a
common method, it does not address session consistency on its own. Option C is incorrect as
redirecting all write operations to a single node can create a bottleneck and is not a standard practice
for load balancing in Tableau Server environments. Option D is incorrect because allocating a
separate subnet for the load balancer, while potentially beneficial for network organization, is not
directly related to load balancing effectiveness for Tableau Server.
A multinational company is implementing Tableau Cloud and requires a secure method to manage
user access across different regions, adhering to various data privacy regulations. What is the most
appropriate authentication strategy?
C
Explanation:
Integration with a centralized identity management system that complies with regional data privacy
laws This strategy ensures secure and compliant user access management across different regions by
leveraging a centralized system that is designed to meet various data privacy regulations. Option A is
incorrect because a single shared login lacks security and does not comply with regional data privacy
laws. Option B is incorrect as region-specific local authentication can lead to fragmented and
inconsistent access control. Option D is incorrect because randomized password generation for each
session, while secure, is impractical and user-unfriendly.
In configuring the Resource Monitoring Tool (RMT) for Tableau Server, what is important to ensure
accurate and useful monitoring data is collected?
A
Explanation:
Setting appropriate thresholds and alerts for system performance metrics in RMT When configuring
RMT for Tableau Server, it is vital to set appropriate thresholds and alerts for system performance
metrics. This ensures that administrators are notified of potential issues or resource bottlenecks,
allowing for timely intervention and maintenance to maintain optimal server performance. Option A
is incorrect as monitoring user login and logout activities is not the primary function of RMT; its focus
is on server performance and resource usage. Option C is incorrect be-cause while integrating with
external network monitoring tools can provide additional insights, it is not essential for the basic
functionality of RMT. Option D is incorrect as integrating RMT with the user database for user
analytics is beyond the scope of its intended use, which is focused on system performance
monitoring.
After implementing Tableau Cloud, a retail company notices that certain dashboards are not
updating with the latest sales dat
a. What is the most effective troubleshooting step?
B
Explanation:
Checking the data source connections and refresh schedules for the affected dashboards This step
directly addresses the potential issue by ensuring that the dashboards are properly connected to the
data sources and that the refresh schedules are correctly configured. Option A is incorrect because
rebuilding dashboards is time-consuming and may not address the underlying issue with data
refresh. Option C is incorrect as transitioning back to an on-premises server is a drastic step that
doesn’t directly solve the issue with data updates. Option D is incorrect because limiting user access
does not address the issue of data not updating in the dashboards.
A healthcare organization is planning to deploy Tableau for data analysis across multiple
departments with varying usage patterns. Which licensing strategy would be most effective for this
organization?
C
Explanation:
Adopt a mixed licensing strategy, combining core-based and user-based licenses according to
departmental usage patterns This approach allows for flexibility and cost-effectiveness by tailoring
the licensing model to the specific needs of different departments, considering their us-age
frequency and data access requirements. Option A is incorrect because it may not be cost-effective
and does not consider the varying needs of different departments. Option B is incorrect as it does not
account for the diverse usage patterns and could lead to unnecessary expenses for infrequent users.
Option D is incorrect because core-based licensing alone may not be the most efficient choice for all
user types, particularly those with low usage.
A large organization with a dynamic workforce is integrating Tableau Cloud into their operations.
They require an efficient method to manage user accounts as employees join, leave, or change roles
within the company. What is the best approach to automate user provisioning in this scenario?
B
Explanation:
Implementing SCIM for automated user provisioning and deprovisioning SCIM allows for automated
and efficient management of user accounts in a dynamic workforce, handling changes in
employment status and roles without manual intervention. Option A is incorrect because manual
account management is inefficient and prone to errors in a large, dynamic organization. Option C is
incorrect as using a shared account compromises security and does not provide individual user
accountability. Option D is incorrect because it disperses the responsibility and can lead to in-
consistent account management practices.
During a blue-green deployment of Tableau Server, what is a critical step to ensure data consistency
between the blue and green environments?
B
Explanation:
Synchronizing data and configurations between the two environments before the switch
Synchronizing data and configurations between the blue and green environments is a critical step in a
blue-green deployment. This ensures that when the switch is made from the blue to the green
environment, the green environment is up-to-date with the latest data and settings, maintaining data
consistency and preventing any loss of information or functionality. Option A is incorrect because
while performance testing is important, it does not directly ensure data consistency be-tween the
two environments. Option C is incorrect as load balancing between the two environments is not
typically part of a blue-green deployment strategy, which focuses on one environment being active
at a time. Option D is incorrect because simply increasing storage capacity in the green environment
does not directly contribute to data consistency for the deployment.
An international financial institution is planning to implement Tableau across multiple global offices.
What should be the primary consideration to future-proof the deployment?
B
Explanation:
Ensuring the infrastructure can handle different data regulations and compliance requirements
across regions This choice addresses the critical need for compliance with varying data regulations in
different countries, which is a key factor for an international deployment to re-main viable and legal
in the long term. Option A is incorrect as implementing an overly complex architecture initially can
lead to unnecessary costs and complexity. Option C is incorrect because choosing the cheapest
option may not meet future scalability and compliance needs. Option D is incorrect as it does not
consider the dynamic nature of the business and potential future changes.
An organization with a mix of cloud and on-premises systems is deploying Tableau Cloud. They want
to ensure seamless and secure access for users across all systems. Which authentication method
should they implement?
B
Explanation:
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.