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Title: Analytics-Con-301 - Salesforce Certified Tableau Consultant¨CHigh-quality Valid T [Print This Page]
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Title: Analytics-Con-301 - Salesforce Certified Tableau Consultant¨CHigh-quality Valid T
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Salesforce Analytics-Con-301 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.

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Salesforce Certified Tableau Consultant Sample Questions (Q39-Q44):NEW QUESTION # 39
A client is searching for ways to curate and document data in order to obtain data lineage. The client has a data source connected to a data lake.
Which tool should the consultant recommend to meet the client's requirements?
Answer: C
Explanation:
To effectively curate and document data for obtaining data lineage, particularly from a data source connected to a data lake, the recommended tool is:
Tableau Catalog with Tableau Data Management Add-on: This add-on enhances the capabilities of Tableau Catalog, providing extensive features for data management, including detailed data lineage, impact analysis, and metadata management.
Functionality: The Tableau Catalog with the Data Management Add-on allows users to see the full history and lineage of the data, trace its usage across all Tableau content, and understand dependencies. It also facilitates better governance and transparency in data handling.
Why Choose this Tool: For a client needing comprehensive data lineage and documentation capabilities, this add-on ensures that data stewards and users can maintain and utilize a well-managed data environment. It supports robust data governance practices necessary for large and complex data ecosystems like those typically associated with data lakes.
References
The recommendation is based on the functionalities offered by the Tableau Data Management Add-on, as described in Tableau's official documentation on managing and documenting data sources for enhanced governance and operational efficiency.

NEW QUESTION # 40
A Tableau Cloud client has requested a custom dashboard to help track which data sources are used most frequently in dashboards across their site.
Which two actions should the client use to access the necessary metadata? Choose two.
Answer: C,D
Explanation:
To track which data sources are used most frequently across a site in Tableau Cloud, the client should use the GraphiQL engine and the Metadata API. The GraphiQL engine allows for interactive exploration of the metadata, making it easier to construct and test queries1. The Metadata API provides access to metadata and lineage of external assets used by the content published to Tableau Cloud, which is essential for tracking data source usage2.
References: The actions are based on the capabilities of the GraphiQL engine and the Metadata API as described in Tableau's official documentation and learning resources321.

NEW QUESTION # 41
A stakeholder has multiple files saved (CSV/Tables) in a single location. A few files from the location are required for analysis. Data transformation (calculations) is required for the files before designing the visuals. The files have the following attributes:
. All files have the same schema.
. Multiple files have something in common among their file names.
. Each file has a unique key column.
Which data transformation strategy should the consultant use to deliver the best optimized result?
Answer: A
Explanation:
Moving calculations to the data layer and materializing them in the extract can significantly improve the performance of reports in Tableau. The calculation ZN([Sales])*(1 - ZN([Discount])) is a basic calculation that can be easily computed in advance and stored in the extract, speeding up future queries. This type of calculation is less complex than table calculations or LOD expressions, which are better suited for dynamic analysis and may not benefit as much from materialization12.
References: The answer is based on the best practices for creating efficient calculations in Tableau, as described in Tableau's official documentation, which suggests using basic and aggregate calculations to improve performance1. Additionally, the process of materializing calculations in extracts is detailed in Tableau's resources2.
Given that all files share the same schema and have a common element in their file names, the wildcard union is an optimal approach to combine these files before performing any transformations. This strategy offers the following advantages:
Efficient Data Combination: Wildcard union allows multiple files with a common naming scheme to be combined into a single dataset in Tableau, streamlining the data preparation process.
Uniform Schema Handling: Since all files share the same schema, wildcard union ensures that the combined dataset maintains consistency in data structure, making further data manipulation more straightforward.
Pre-Transformation Combination: Combining the files before applying transformations is generally more efficient as it reduces redundancy in transformation logic across multiple files. This means transformations are written and processed once on the unified dataset, rather than repeatedly for each individual file.
References:
Wildcard Union in Tableau: This feature simplifies the process of combining multiple similar files into a single Tableau data source, ensuring a seamless and efficient approach to data integration and preparation.

NEW QUESTION # 42
A client is considering migrating from Tableau Server to Tableau Cloud.
Which two elements are determining factors of whether the client should use Tableau Server or Tableau Cloud? Choose two.
Answer: B,C
Explanation:
When considering a migration from Tableau Server to Tableau Cloud, two critical factors to consider are the client's need for single sign-on (SSO) and the volume of concurrent extract refreshes.
Single Sign-On (SSO): Tableau Cloud supports SSO, which can streamline user authentication and enhance security. If the client plans to leverage SSO, Tableau Cloud may be a suitable choice1.
Concurrent Extract Refreshes: The number of concurrent extract refreshes is a significant factor because it impacts performance and resource allocation. Tableau Server might be more appropriate if the client has a high volume of concurrent extract refreshes, as it allows for more control over the infrastructure to manage these workloads2.
References: The decision between Tableau Server and Tableau Cloud should be based on specific organizational needs, including security, compliance, performance, and scalability. The official Tableau resources provide guidance on these factors12. Additionally, discussions in the Tableau Community highlight the importance of considering these elements when choosing between Tableau Server and Tableau Cloud1.

NEW QUESTION # 43
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,D
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 # 44
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