Analytics-Con-301 Latest Exam & Analytics-Con-301 Official Practice Test

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Salesforce Analytics-Con-301 Exam Syllabus Topics:

Topic	Details
Topic 1	Business Consulting: For Tableau Consultants, this section involves designing and troubleshooting calculations and workbooks to meet advanced analytical use cases. It covers selecting appropriate chart types, applying Tableau’s order of operations in calculations, building interactivity into dashboards, and optimizing workbook performance by resolving resource-intensive queries and other design-related issues.
Topic 2	Data Management: This part focuses on establishing governance and support for published content. Tableau Consultants are expected to manage data security, publish and maintain data sources and workbooks, and oversee content access. It includes applying governance best practices, using metadata APIs, and supporting administration functions to maintain data integrity and accessibility.
Topic 3	Data Visualization: This section evaluates the Tableau Consultant’s ability to design effective visual analytics solutions. It involves creating dashboards and visual reports that enhance user understanding, employing techniques like dynamic actions and advanced chart types, and ensuring performance optimization for an interactive user experience.
Topic 4	Data Analysis: This domain targets Tableau Consultants to plan and prepare data connections effectively. It includes recommending data transformation strategies, designing row-level security (RLS) data structures, and implementing advanced data connections such as Web Data Connectors and Tableau Bridge. Skills in specifying granularity and aggregation strategies for data sources across Tableau products are emphasized.
Topic 5	Business Analysis: This section of the exam measures skills of Tableau Consultants focusing on evaluating the current state of analytics within an organization. It covers mapping business needs to Tableau capabilities, translating analytical requirements to best practices in Tableau, and recommending appropriate deployment options like Tableau Server or Tableau Cloud. It also includes evaluating existing data structures for supporting business needs and identifying performance risks and opportunities.

Salesforce Certified Tableau Consultant Sample Questions (Q83-Q88):

NEW QUESTION # 83
A customer plans to do an in-place upgrade of their single node Tableau Server from 2023.1 to the most recent version.
What is the correct sequence to prepare for an in-place upgrade?

A. * In the production environment:
* Disable scheduled tasks.
* Run the upgrade script for the most recent version of Tableau Server.
* Confirm everything works as expected and test new features.
B. * In the production environment:
* Disable scheduled tasks.
* Uninstall Tableau Server 2023.1.
* Run the upgrade script for the most recent version of Tableau Server.
* Confirm everything works as expected and test new features.
C. * In a non-production environment:
* Install the most recent version of Tableau Server.
* Back up the existing production environment.
* Restore settings and backup into the non-production environment.
* Confirm everything works as expected and test new features.
* Redirect user traffic from the production environment to the non-production environment.
D. * In a non-production environment:
* Clone a copy of existing production environment to create a VM snapshot.
* Restore the VM snapshot into the non-production environment.
* Run the upgrade script for the most recent version of Tableau Server.
* Confirm everything works as expected and test new features.
* Redirect user traffic from the production environment to the non-production environment.

Answer: A

Explanation:
Tableau's official in-place upgrade steps for single-node Tableau Server require:
* Disable scheduled tasks (to prevent extract failures during upgrade).
* Run the upgrade script for the new version.
* Validate and test the server after upgrade.
The critical detail:
An in-place upgrade means upgrading the existing production environment directly, not installing in a separate environment or cloning VMs.
Option B matches exactly the documented operational steps for an in-place upgrade.
Why the other options are incorrect:
* A: Uninstalling Tableau Server is not part of an in-place upgrade workflow.
* C: This describes a migration or test upgrade in a separate environment, not an in-place upgrade.
* D: VM cloning and restoring is not required for in-place upgrades and is not part of Tableau's official procedure.
Only B represents the correct in-place upgrade sequence.
* Tableau Server in-place upgrade instructions: disable tasks # run upgrade script # test.
* Single-node upgrade guidelines noting that uninstalling is not required.
* Tableau Server administration materials clarifying the difference between in-place upgrade and sandbox testing.

NEW QUESTION # 84
Which technique should a Tableau consultant use to optimize workbook performance with a live data source?

A. Use Custom SQL for Tableau query optimization.
B. Use Compute Calculations Now for live data sources to materialize calculations.
C. Use larger sets of more granular records in Table Calculations instead of smaller sets of aggregated records.
D. Use numbers and Booleans instead of strings and dates.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
When optimizing performance with live connections, Tableau documentation emphasizes minimizing the workload passed to the database. Key principles include:
* Databases resolve numeric and Boolean fields significantly faster than strings and dates.
* Using simpler data types reduces query parsing time and improves join and filter performance.
* This is a standard Tableau recommendation for live query optimization.
Why the other answers are incorrect:
* B: Table calculations add workload on Tableau, but live performance depends on database efficiency; granular table calc processing worsens performance.
* C: Custom SQL often hurts performance because it disables query optimization, increases load times, and prevents Tableau from generating efficient queries.
* D: Compute Calculations Now applies only to extracts, and has no effect on live connections.
Thus, the documented performance best practice for live sources is to use numbers and Booleans instead of strings and dates.
* Live connection optimization guidance: prefer numeric and Boolean fields over strings/dates.
* Best practices cautioning against Custom SQL for performance.
* Documentation stating Compute Calculations Now applies only to extracts.

NEW QUESTION # 85
A client wants to see data for only the last day in a dataset and the last day is always yesterday. The date is represented with the field Ship Date.
The client is not concerned about the daily refresh results. The volume of data is so large that performance is their priority. In the future, the client will be able to move the calculation to the underlying database, but not at this time.
The solution should offer the best performance.
Which approach should the consultant use to produce the desired results?

A. Filter on calculation [Ship Date]={MAX([Ship Date])}.
B. Filter MONTH/DAY/YEAR on [Ship Date] field and use an option to filter to the latest date value when the workbook opens.
C. Filter on calculation [Ship Date]=TODAY()-1.
D. Filter on Ship Date field using the Yesterday option.

Answer: C

Explanation:
The best approach to ensure performance while providing data for only the last day (yesterday) in the dataset is to use a calculated field that filters the data to include only yesterday's date:
Filter on calculation [Ship Date]=TODAY()-1: This calculated field dynamically computes yesterday's date by subtracting one day from today's date. This approach ensures that each day, only the data for the previous day is loaded, which keeps the volume of data minimal and improves performance.
Dynamic Date Calculation: The use of TODAY()-1 ensures the filter remains up-to-date with the changing dates, without the need for manual updates, providing accuracy and timeliness in the dashboard.
This approach is efficient because it avoids the overhead of processing the entire dataset and focuses only on the relevant day's data. It also aligns with Tableau's capabilities for creating dynamic filters using date functions, as highlighted in the Tableau help documentation on date calculations and filters.
References
This solution utilizes Tableau's built-in date functions and dynamic calculations to optimize performance, as recommended in Tableau's performance optimization resources and date calculation guidelines.

NEW QUESTION # 86
A client is using Tableau to visualize data by leveraging security token-based credentials. Suddenly, sales representatives in the field are reporting that they cannot access the necessary workbooks. The client cannot recreate the error from their offices, but they have seen screenshots from the field agents. The client wants to restore functionality for the field agents with minimal disruption.
Which step should the consultant recommend to accomplish the client's goal?

A. Ask the workbook owners to republish the workbooks to refresh the security token.
B. Ensure that "Allow Refresh Access" was checked when the data source was published.
C. Change the data source permissions for the connection to "Prompt User."
D. Renew the security token via the Data Connection on Tableau Server.

Answer: D

Explanation:
When field agents are unable to access workbooks due to issues with security token-based credentials, the most immediate and least disruptive solution is to renew the security token. This can be done through the Data Connection settings on Tableau Server. Renewing the token will restore access for the field agents without requiring them to take any action or affecting other users.
References: The use of personal access tokens (PATs) in Tableau and the procedure for renewing them are documented in Tableau's official resources. It is noted that PATs are long-lived authentication tokens that can be revoked and renewed to manage access securely1. Additionally, there have been discussions in the Tableau Community regarding issues with concurrent PAT access, which further supports the need to manage tokens effectively2.

NEW QUESTION # 87
A consultant is tasked with improving the performance of a large workbook that contains multiple dashboards, each of which leverages a separate data source. What is one way to improve performance?

A. Restrict the users who can access the workbook.
B. Split the workbook into multiple workbooks.
C. Convert Data Source filters to Quick Filters.
D. Convert any extracted data sources to live data sources.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau's performance best-practice documentation explains that large workbooks containing many dashboards, multiple data sources, and complex interactions have heavier memory and CPU requirements. When a workbook grows too large, Tableau must:
* Load every data source
* Cache metadata for all sheets
* Maintain connections across all dashboards
* Render more worksheets simultaneously
This increases workbook load time and slows dashboard performance.
A documented method for improving performance is to split a large workbook into multiple smaller workbooks, each containing only the dashboards relevant to a particular audience or subject area. Smaller workbooks:
* Reduce the amount of metadata Tableau must load
* Reduce extract sizes per workbook
* Improve caching efficiency
* Improve dashboard loading and rendering time
Options A, B, and C do not improve workbook performance:
* A. Converting Data Source Filters to Quick Filters reduces performance because Quick Filters (interactive filters) are more expensive than Data Source filters and slow down rendering.
* B. Converting extracts to live connections typically worsens performance because live sources depend on database query speed, network latency, and server load.
* C. Restricting users does not change workbook performance, only access.
Splitting the workbook is a recognized Tableau strategy for improving performance of large, multi-dashboard workbooks.
* Tableau Performance Optimization guidelines encouraging splitting large workbooks into smaller ones.
* Workbook design best practices emphasizing reduced complexity and smaller metadata footprints.
* Documentation on performance costs associated with Quick Filters and multiple data sources.

NEW QUESTION # 88
......

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Analytics-Con-301 Latest Exam & Analytics-Con-301 Official Practice Test

100% Pass Quiz 2025 Analytics-Con-301: Salesforce Certified Tableau Consultant Useful Latest Exam

Salesforce Analytics-Con-301 Exam Syllabus Topics:

Salesforce Certified Tableau Consultant Sample Questions (Q83-Q88):

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