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TCA-C01 Exam Questions - Tableau Certified Architect Test Questions & TCA-C01 Test Guide
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Tableau TCA-C01 Exam Syllabus Topics:
Topic
Details
Topic 1
- Design a Tableau Infrastructure: This section of the exam measures the skills of Tableau Architects and covers the requirements for implementing a complex Tableau deployment. Candidates will gather requirements for user roles and evaluate constraints, including future growth. They will identify licensing strategies, assess needs for high availability and disaster recovery, and map Tableau Server Add-Ons to requirements. A key skill measured is the ability to recommend a suitable licensing strategy based on user needs.
Topic 2
- Deploy Tableau Server: This domain assesses the competencies of Deployment Engineers in implementing production-ready Tableau Server deployments. Candidates will deploy, configure, and troubleshoot various Tableau Server processes, including external file stores and repositories. They will also install Tableau in air-gapped environments and validate disaster recovery strategies.
Topic 3
- Monitor and Maintain a Tableau Deployment: This section targets Tableau Administrators and focuses on monitoring and maintaining a Tableau deployment. Candidates will create custom administrative views by interpreting repository schemas and building admin dashboards. They will perform load testing using tools like TabJolt, identify performance bottlenecks, and maintain the server environment using observability data.
Tableau Certified Architect Sample Questions (Q63-Q68):
NEW QUESTION # 63
What is an essential step in implementing extract encryption in Tableau Server to enhance data security?
- A. Encrypting only those extracts that contain sensitive information, while leaving others un-encrypted for performance reasons
- B. Enabling extract encryption at the server level to ensure all extracts are encrypted, regard-less of their content
- C. Relying on database-level encryption alone to secure all data used in Tableau extracts
- D. Manually encrypting each extract using third-party software before uploading it to Tableau Server
Answer: B
Explanation:
Enabling extract encryption at the server level to ensure all extracts are encrypted, regardless of their content Implementing extract encryption in Tableau Server should involve enabling encryption at the server level. This ensures that all extracts stored on the server are encrypted, providing a consistent layer of security across all data, regardless of its sensitivity. This approach helps protect against unauthorized access to extract data stored on the server. Option A is incorrect because selectively encrypting extracts can lead to inconsistencies in security and potential vulnerabilities. Option C is incorrect as database-level encryption does not protect extracts once they are exported from the database. Option D is incorrect because manual encryption of each extract is in-efficient and not scalable, and Tableau Server provides its own encryption mechanism for extracts.
NEW QUESTION # 64
A company with a large number of concurrent Tableau users and complex data sets plans to deploy Tableau Server. What is the most appropriate node count configuration for this scenario?
- A. Using a four-node configuration regardless of the specific demands and usage patterns
- B. Configuring a single node to centralize all processes and simplify management
- C. Setting up a two-node configuration, one for background tasks and one for user interactions
- D. Implementing a multi-node configuration with dedicated nodes for VizQL, Backgrounder, and Data Server processes
Answer: D
Explanation:
Implementing a multi-node configuration with dedicated nodes for VizQL, Backgrounder, and Data Server processes A multi-node configuration allows for efficient distribution of different processes across nodes, enhancing performance and scalability for a large number of users and complex data sets. Option A is incorrect because a single node may not handle the load of a large number of concurrent users effectively.
Option B is incorrect as it oversimplifies the needs of a large deployment, potentially leading to performance bottlenecks. Option D is incorrect because node count should be based on specific demands, not an arbitrary number.
NEW QUESTION # 65
For a large-scale Tableau Server deployment, what is the most effective strategy for collecting and analyzing server process metrics to maintain optimal performance?
- A. Manually checking server performance metrics at the end of each day
- B. Relying on user feedback to determine when to check specific server process metrics
- C. Implementing a comprehensive monitoring tool that tracks a range of metrics, including C. CPU, memory, disk I/O, and network activity, across different times
- D. Focusing solely on the analysis of CPU and memory usage metrics during peak hours
Answer: C
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.
NEW QUESTION # 66
A large multinational corporation plans to deploy Tableau across various departments with diverse data access needs. The IT team needs to determine the optimal role distribution for users. Which of the following approaches best meets these requirements?
- A. Tailor user roles based on specific department needs and data access levels
- B. Implement a uniform "Explorer" role for all users to simplify management
- C. Assign all users the "Viewer" role to maintain data security and control
- D. Provide "Creator" roles to department heads and "Explorer" roles to their team members
Answer: A
Explanation:
Tailor user roles based on specific department needs and data access levels This approach ensures that each department gets the access they need while maintaining security and efficiency. It recognizes the varying requirements across departments and aligns role assignments accordingly. Option A is incorrect because assigning everyone the "Viewer" role is overly restrictive and may hinder the effective use of Tableau for data analysis and decision-making. Option B is in-correct as it oversimplifies the distribution of roles without considering the specific needs and data access requirements of individual team members. Option C is incorrect because a uniform role for all users does not account for the diverse needs and access levels required in a large multinational corporation.
NEW QUESTION # 67
For a medium-sized business with periodic high usage periods, how should the Tableau Server node count be determined?
- A. Establishing a scalable node configuration that can accommodate periodic high usage
- B. Ignoring node count considerations and focusing only on process distribution
- C. Deploying a large number of nodes to prepare for peak usage, regardless of cost
- D. Configuring a minimal number of nodes to save on costs, despite potential performance is-sues
Answer: A
Explanation:
Establishing a scalable node configuration that can accommodate periodic high usage A scalable configuration allows the business to efficiently handle periodic high usage periods while avoiding unnecessary costs during lower usage times. Option A is incorrect because deploying a large number of nodes for a medium-sized business can be cost-inefficient. Option B is incorrect as a minimal number of nodes may lead to performance issues during high usage periods. Option D is incorrect because considering node count is crucial for balancing performance and cost.
NEW QUESTION # 68
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