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Salesforce Analytics-Con-301 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • IT Management: This domain measures skills related to managing Tableau environments. It includes planning server upgrades, recommending deployment solutions (on-premise or cloud), and ensuring alignment between technical and business requirements for analytics infrastructure. It also involves troubleshooting and optimizing system performance relevant to Tableau Server and Cloud deployments.
Topic 4
  • 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 5
  • 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.

Salesforce Certified Tableau Consultant Sample Questions (Q79-Q84):

NEW QUESTION # 79
A client calculates the percent of total sales for a particular region compared to all regions.

Which calculation will fix the automatic recalculation on the % of total field?

Answer: C

Explanation:
To correctly calculate the percent of total sales for a particular region compared to all regions, and to ensure that the calculation does not get inadvertently recalculated with each region filter application, the recommended calculation is:
{FIXED [Region]: sum([Sales])}: This part of the formula computes the sum of sales for each region, regardless of any filters applied to the view. It uses a Level of Detail expression to fix the sum of sales to each region, ensuring that filtering by regions won't affect the calculated value.
SUM([Sales]): This part computes the total sum of sales across all regions and is recalculated dynamically based on the filters applied to other parts of the dashboard or worksheet.
Combining the two parts: By dividing the fixed regional sales by the total sales, we get the proportion of sales for each region as compared to the total. This calculation ensures that while the denominator adjusts according to filters, the numerator remains fixed for each region, accurately reflecting the sales percentage without being affected by the region filter directly.
References
This calculation follows Tableau's best practices for using Level of Detail expressions to manage computation granularity in the presence of dashboard filters, as outlined in the Tableau User Guide and official Tableau training materials.


NEW QUESTION # 80
A consultant is working with a Tableau Server customer. The customer asks the consultant if there is a need to upgrade their instance of Tableau Server that was installed over 1 year ago.
Which two situations justify the need for an upgrade? Choose two.

Answer: A,B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau's upgrade guidance identifies two major drivers for upgrading Tableau Server:
* Version Compatibility with Tableau Desktop and Tableau Prep Builder
* Tableau Server must be equal to or newer than the version used by Desktop and Prep Builder for publishing.
* Organizations upgrading Desktop often must upgrade Server to avoid compatibility issues.
* This is a core reason to update a year-old installation.
* Security and Bug Fixes
* Tableau regularly publishes security patches, bug fixes, and stability enhancements.
* Older versions accumulate unresolved security issues that may be identified by security teams.
* Tableau explicitly states that upgrading ensures the instance receives the latest security protections.
Option B is incorrect because upgrading does not reduce hardware requirements; in many cases hardware needs may increase.
Option C is incorrect because Tableau Cloud features do not require upgrading Tableau Server. Tableau Cloud enhancements are independent of Server versions.
Therefore, the two conditions that justify upgrading are maintaining compatibility and addressing security vulnerabilities.
* Tableau's version compatibility matrix requiring alignment between Tableau Server and Desktop/Prep.
* Upgrade planning documents emphasizing security patches and bug fixes as key upgrade drivers.
* Notes describing that performance complaints alone are not solved simply by upgrading.


NEW QUESTION # 81
A consultant migrated a data source to improve performance. The consultant wants to identify which workbooks need to be updated to point to the new data source.
Which Tableau tool should the consultant use?

Answer: B

Explanation:
To identify which workbooks need to be updated to point to a new data source after a migration, a consultant should use Tableau Advanced Management. This component of Tableau provides comprehensive management capabilities including the ability to track workbook dependencies and data source usage across your entire Tableau environment. Using Tableau Advanced Management allows consultants to assess the impact of changes in the data source on connected workbooks and efficiently manage updates.


NEW QUESTION # 82
A client wants to see data for only the most recent day in the dataset that is updated intermittently. The solution should offer the best caching performance.
Which approach should the consultant use to produce the desired results?

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The client wants to always show the most recent day present in the data, not today's date. The dataset is updated intermittently, meaning some days may have no new rows. Tableau documentation states that:
* Using TODAY() recalculates on every query and prevents effective caching because Tableau must compute the current date for each refresh.
* Using Relative Date Filters like "Last 1 day" also prevents caching because Tableau evaluates relative conditions each time the workbook loads.
* Quick Filters also break caching and decrease performance because they require interactive evaluation on each render.
* A FIXED LOD calculation allows Tableau to compute the maximum date inside the extract, which preserves caching because it is data-driven, not time-driven.For example:{ FIXED : MAX([Date]) } Then filtering where [Date] = { FIXED : MAX([Date]) } ensures only the most recent date in the dataset is shown.
Tableau's documentation on performance emphasizes that caching is maximized when calculations depend only on the data itself and not on functions like TODAY() or relative filters.
A FIXED LOD provides the best caching performance and correctly returns the most recent date based on the dataset rather than the current system date.
* Tableau extract caching behavior describing how data-dependent filters cache better than time- dependent filters.
* LOD Expressions guidance recommending FIXED for identifying values like "latest date in the dataset."
* Tableau performance guidelines discouraging TODAY() and relative date filters when caching is important.


NEW QUESTION # 83
A company's Tableau Cloud admin wants to maintain control over what content gets published to its site for viewers, while also supporting self-service for dashboard creators.
Which governance strategy should the admin implement?

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Tableau's recommended content governance model for Server and Cloud emphasizes project-based separation between development ("sandbox") content and certified, production-ready content.
Key points from Tableau governance guidance:
* Organizations should define sandbox projects where creators can freely publish and iterate on workbooks and data sources.
* Once content is reviewed and validated, it is promoted into "production" projects that are designated for trusted content for viewers.
* This model allows self-service authoring while keeping tight control over what is exposed to broad viewer audiences.
Option A exactly reflects this model: sandbox projects for ad hoc content, and production projects for validated content.
Option B uses separate sites and the Content Migration Tool, which is heavier to manage and usually reserved for cross-environment moves (such as dev to prod), not necessary for basic project-level governance in a single Tableau Cloud site.
Option C relies on Personal Space. Tableau recommends Personal Space for private drafts, not as the main promotion path, and it is not the primary governance pattern for viewer-facing content.
Option D restricts data source viewing but does not provide a full governance strategy for managing ad hoc versus production dashboards.
Therefore, the correct strategy is sandbox projects plus production projects, which is option A.
* Tableau governance whitepapers describing sandbox versus production projects as a best-practice pattern.
* Tableau Cloud site administration guidance recommending project structure for self-service and controlled promotion of content.


NEW QUESTION # 84
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