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Free TCA-C01 Exam Braindumps (page: 22)

Page 21 of 51
PDF with 200 Questions

During the troubleshooting of OpenID Connect integration issues in Tableau Server, what common factor should be examined?

  1. The load balancing configuration of the Tableau Server
  2. The redirection URI specified in the OpenID Connect provider and Tableau Server configuration
  3. The encryption strength of the SSL certificate on the Tableau Server
  4. The storage capacity on the Tableau Server for caching user tokens

Answer(s): B

Explanation:

The redirection URI specified in the OpenID Connect provider and Tableau Server configuration A common issue in OpenID Connect integration involves the redirection URI. Ensuring that the redirection URI specified in the Tableau Server configuration matches exactly with what is registered on the OpenID Connect provider is crucial. Mismatches or incorrect configu-rations can lead to failed authentication and redirection errors. Option A is incorrect as load balancing configurations are generally not directly related to OpenID Connect integration issues. Option C is incorrect because while SSL certificate strength is important for overall security, it is not typically the cause of OpenID Connect specific integration issues. Option D is incorrect as the storage capacity for caching user tokens is unlikely to be a significant factor in the troubleshooting of OpenID Connect integration.



In the context of implementing database encryption for Tableau Server, what factor is important to ensure ongoing data security?

  1. Increasing the processing power of the database server to handle the additional load from encryption and decryption processes
  2. Ensuring that backup copies of the database are also encrypted
  3. Implementing a network monitoring system to track all access to the database server
  4. Setting up a redundant database server to take over in case the primary server fails

Answer(s): B

Explanation:

Ensuring that backup copies of the database are also encrypted When encrypting a database for Tableau Server, it is crucial to ensure that backup copies of the database are also encrypted. This prevents scenarios where encrypted data at rest could be compromised through un-encrypted backups, maintaining a consistent level of security for all stored data, whether it is in active use or backed up. Option A is incorrect because while processing power is important for overall performance, it is not the primary concern for ongoing data security in the context of database encryption. Option C is incorrect as network monitoring, while important for security, does not ensure the encryption of data at rest or in backups. Option D is incorrect because setting up a redundant database server focuses on availability and does not directly address the encryption of data or back-ups.



For a large-scale Tableau Server deployment, what is the most effective strategy for collecting and analyzing server process metrics to maintain optimal performance?

  1. Focusing solely on the analysis of CPU and memory usage metrics during peak hours
  2. Implementing a comprehensive monitoring tool that tracks a range of metrics, including C. CPU, memory, disk I/O, and network activity, across different times
  3. Manually checking server performance metrics at the end of each day
  4. Relying on user feedback to determine when to check specific server process metrics

Answer(s): B

Explanation:

Implementing a comprehensive monitoring tool that tracks a range of metrics, including CPU, memory, disk I/O, and network activity, across different times For effective maintenance of a large-

scale Tableau Server deployment, the best strategy is to use a comprehensive monitoring tool that tracks a variety of process metrics, such as CPU usage, memory, disk I/O, and network activity. This approach allows for a holistic understanding of server performance and helps identify bottlenecks in different areas, ensuring more effective tuning and optimization. Option A is incorrect because focusing solely on CPU and memory usage during peak hours may overlook other important metrics and non-peak performance issues. Option C is incorrect as manually checking metrics daily is inefficient and may not provide real-time insights into performance issues. Option D is incorrect because relying solely on user feedback for monitoring server processes is reactive and may lead to delayed identification of underlying issues.



When facing database connectivity issues in a multi-node Tableau Server deployment, which approach is most effective in identifying the root cause?

  1. Immediately replacing the network switches and routers to ensure more reliable connectivity
  2. Analyzing the server logs on both Tableau Server and the database server to identify any error patterns or connection failures
  3. Restricting access to the database server to only a few select nodes to reduce load and potential connectivity issues
  4. Migrating all data to a new database server to eliminate the possibility of server-specific connectivity problems

Answer(s): B

Explanation:

Analyzing the server logs on both Tableau Server and the database server to identify any error patterns or connection failures To effectively identify the root cause of database connectivity issues in a multi-node Tableau Server deployment, analyzing server logs on both the Tableau Server nodes and the database server is crucial. This approach allows for the identification of specific error messages, patterns, or connection failures that can lead to a better understanding of the issue and guide targeted solutions. Option A is incorrect because replacing network hardware immediately is a premature action without first identifying the exact cause of the connectivity is-sues. Option C is incorrect as restricting access to the database server does not address the underlying cause of the connectivity problems and may limit functionality. Option D is incorrect because migrating to a new database server is a significant undertaking and should be a last resort after other troubleshooting steps have been exhausted.






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