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Salesforce Analytics-Con-301 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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.

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Salesforce Certified Tableau Consultant Sample Questions (Q97-Q102):

NEW QUESTION # 97
A client has a database that stores widget inventory by day and it is updated on a nonstandard schedule as shown below.

They want a data visualization that shows widget inventory daily, however their business unit does not have the ability to modify the data warehouse structure.
What should the client do to achieve the desired result?

Answer: C

Explanation:
For a client who needs a daily visualization of widget inventory but cannot modify the data warehouse structure, the best approach is to use Tableau Prep to add new rows. Tableau Prep can be used to manipulate the existing dataset by adding missing date entries and appropriately adjusting inventory counts based on available data. This allows the creation of a complete daily snapshot for visualization without needing changes to the underlying database structure.


NEW QUESTION # 98
A database contains two related tables at different levels of granularity. The client wants to make all data available in Tableau Prep at the original level of granularity.
Which two solutions in Tableau meet the client's requirements? Choose two.

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The key requirement is:
# Data must remain at the original grain in Tableau Prep
# Tables are at different granularities
Tableau Prep does NOT support relationships, and automatically joins tables, which changes granularity (by duplicating or aggregating records).
Therefore, relationships (Option B) cannot preserve grain for Prep.
Also:
* A physical join (Option D) changes the grain by combining rows, often multiplying results when grain differs.
Only two options preserve the original granularity:
Option A - Two Separate Published Data Sources
Each data source represents one table.
In Tableau Prep, the user can choose:
* Use tables separately
* Join or clean them intentionally
* Keep each table at its own grain
This keeps all data at its native level.
Option C - Virtual Connection
A Virtual Connection:
* Publishes entire tables from the database
* Maintains each table independently at its native granularity
* Makes all tables available to Tableau Prep without altering grain
* Is specifically designed for governed, reusable multi-table access
Thus, it satisfies the requirement exactly.
Why the others are incorrect:
B - Relationship
Relationships only exist in Tableau Desktop logical layer, NOT in Tableau Prep.
Prep flattens the data # grain is lost.
D - Physical join
Always modifies granularity when tables differ, often causing row multiplication.
* Tableau Prep does not support logical relationships; only physical joins.
* Virtual Connections preserve original tables and governance.
* Published Data Sources can be separated to maintain original grain.


NEW QUESTION # 99
For a new report, a consultant needs to build a data model with three different tables, including two that contain hierarchies of locations and products. The third table contains detailed warehousing data from all locations across six countries. The consultant uses Tableau Cloud and the size of the third table excludes using an extract.
What is the most performant approach to model the data for a live connection?

Answer: A

Explanation:
For a performant live connection in Tableau Cloud, especially when dealing with large datasets that preclude the use of extracts, relating the tables in Tableau Desktop is the recommended approach. This method allows for flexibility in how the data is queried and can improve performance by leveraging Tableau's relationships feature, which optimizes queries for the underlying database.
References: The best practices for live connections in Tableau Cloud suggest using relationships to manage complex data models efficiently1. Additionally, Tableau's documentation on connecting data sources recommends using relationships for better performance with live connections2.


NEW QUESTION # 100
SIMULATION
From the desktop, open the CC workbook. Use the US Population Estimates data source.
You need to shape the data in US Population Estimates by using Tableau Desktop. The data must be formatted as shown in the following table.

Open the Population worksheet. Enter the total number of records contained in the data set into the Total Records parameter.
From the File menu in Tableau Desktop, click Save.

Answer:

Explanation:
See the complete Steps below in Explanation
Explanation:
To shape the data in the "US Population Estimates" data source and enter the total number of records into the "Total Records" parameter in Tableau Desktop, follow these steps:
Open the CC Workbook and Access the Worksheet:
From the desktop, double-click on the CC workbook to open it in Tableau Desktop.
Navigate to the Population worksheet by selecting its tab at the bottom of the window.
Format and Shape the Data:
Ensure the data types match those specified in the requirements: Sex, Origin, Race as strings; Year, Age, Population as whole numbers.
To verify or change the data type, click on the dropdown arrow next to each field name in the Data pane and select "Change Data Type" if necessary.
Calculate Total Number of Records:
Create a new calculated field named "Total Records". To do this, right-click in the Data pane and select "Create Calculated Field".
Enter the formula COUNT([Record ID]) or SUM([Number of Records]) depending on how the data source identifies each row uniquely.
Drag this new calculated field onto the worksheet to display the total number of records.
Enter the Value into the Total Records Parameter:
Locate the "Total Records" parameter in the Data pane. Right-click on the parameter and select "Edit".
Manually enter the number displayed from the calculated field into the parameter, ensuring accuracy to meet the data shaping requirement.
Save Your Changes:
From the File menu, click 'Save' to ensure all your changes are stored.
References:
Tableau Desktop Guide: Provides detailed instructions on managing data types, creating calculated fields, and updating parameters.
Tableau Data Shaping Techniques: Outlines effective methods for manipulating and structuring data for analysis.
This process will ensure the data in the "US Population Estimates" is accurately shaped according to the specified format and that the total number of records is correctly calculated and entered into the designated parameter. This thorough approach ensures data integrity and accuracy in reporting.


NEW QUESTION # 101
An executive-level workbook leverages 37 of the 103 fields included in a data source. Performance for the workbook is noticeably slower than other workbooks on the same Tableau Server.
What should the consultant do to improve performance of this workbook while following best practice?

Answer: B

Explanation:
To improve the performance of a Tableau workbook, it is best practice to streamline the data being used. This can be achieved by using filters to limit the data to only what is necessary for analysis, hiding fields that are not being used to reduce the complexity of the data model, and aggregating values to simplify the data and reduce the number of rows that need to be processed. These steps can help reduce the load on the server and improve the speed of the workbook.
References: The best practices for optimizing workbook performance in Tableau are well-documented in Tableau's official resources, including the Tableau Help Guide and the Designing Efficient Workbooks whitepaper, which provide detailed recommendations on how to streamline workbooks for better performance12.


NEW QUESTION # 102
......

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