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Analytics-Con-301 Sure-Pass Learning Materials: Salesforce Certified Tableau Consultant - Analytics-Con-301 Pass-Sure Torrent & Analytics-Con-301 Exam Braindumps

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Salesforce Analytics-Con-301 Exam Syllabus Topics:

Topic
Details

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

• 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 4

• 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 5

• 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.

 

Salesforce Certified Tableau Consultant Sample Questions (Q47-Q52):

NEW QUESTION # 47
A consultant is designing a dashboard that will be consumed on desktops, tablets, and phones. The consultant needs to implement a dashboard design that provides the best user experience across all the platforms.
Which approach should the consultant take to achieve these results?

• A. Build one dashboard for each type of device and fix the size of the layouts.
• B. Build one dashboard that has desktop, tablet, and phone layouts, and fix the size of the layouts.
• C. Build one dashboard and set the size to Automatic.
• D. Build one dashboard and fix the size of the dashboard.

Answer: B

Explanation:
For a consultant designing a dashboard to be consumed across multiple device types, the best approach is:
Multi-device Layout: Tableau provides the capability to design device-specific layouts within a single dashboard. This feature allows the dashboard to adapt its layout to best fit the screen size and orientation of desktops, tablets, and phones.
Fixed Size Layouts: By fixing the size of each layout, the consultant can ensure that the dashboard appears consistent and maintains the intended design elements and user experience across devices. Fixed sizes prevent components from resizing in ways that could disrupt the dashboard's readability or functionality.
Implementation: In Tableau, you can create these layouts by selecting 'Device Preview' and adding custom layouts for each device type. Here, you define the dimensions and the positioning of sheets and controls tailored to each device's typical viewing mode.
References
This approach leverages Tableau's device designer capabilities, which are specifically designed to optimize dashboards for multiple viewing environments, ensuring a seamless user experience regardless of the device used. This functionality is well documented in Tableau's official guides on creating and managing device-specific dashboards.

 

NEW QUESTION # 48
An online sales company has a table data source that contains Order Date. Products ship on the first day of each month for all orders from the previous month.
The consultant needs to know the average number of days that a customer must wait before a product is shipped.
Which calculation should the consultant use?

• A. Calc1: DATETRUNC ('day', DATEADD ('day', 31, [Order Date]))
  Calc2: AVG ([Order Date] - [Calc1])
• B. Calc1: DATETRUNC ('month', DATEADD('month', 1, [Order Date]))
  Calc2: AVG(DATEDIFF ('week', [Order Date], [Calc1]))
• C. Calc1: DATETRUNC ('month', DATEADD ('month', 1, [Order Date]))
  Calc2: AVG(DATEDIFF ('day', [Order Date], [Calc1]))
• D. Calc1: DATETRUNC ('day', DATEADD('week', 4, [Order Date]))
  Calc2: AVG([Order Date] - [Calc1])

Answer: C

Explanation:
The correct calculation to determine the average number of days a customer must wait before a product is shipped is to first find the shipping date, which is the first day of the following month after the order date. This is done using DATETRUNC('month', DATEADD('month', 1, [Order Date])). Then, the average difference in days between the order date and the shipping date is calculated using AVG(DATEDIFF('day', [Order Date], [Calc1])). This approach ensures that the average wait time is calculated in days, which is the most precise measure for this scenario.
References: The solution is based on Tableau's date functions and their use in calculating differences between dates, which are well-documented in Tableau's official learning resources and consultant documents12.
To calculate the average waiting days from order placement to shipping, where shipping occurs on the first day of the following month:
Calculate Shipping Date (Calc1): Use the DATEADD function to add one month to the order date, then apply DATETRUNC to truncate this date to the first day of that month. This represents the shipping date for each order.
Calculate Average Wait Time (Calc2): Use DATEDIFF to calculate the difference in days between the original order date and the calculated shipping date (Calc1). Then, use AVG to average these differences across all orders, giving the average number of days customers wait before their products are shipped.
References:
Date Functions in Tableau: Functions like DATEADD, DATETRUNC, and DATEDIFF are used to manipulate and calculate differences between dates, crucial for creating metrics that depend on time intervals, such as customer wait times in this scenario.

 

NEW QUESTION # 49
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?

• A. Use Tableau Desktop to visualize null values.
• B. Use Tableau Prep to add new rows.
• C. Create a temporary table in the database.
• D. Update the Widget Inventory Table to be a daily snapshot.

Answer: B

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 # 50
A company has a sales team that is segmented by territory. The team's manager wants to make sure each sales representative can see only data relevant to that representative's territory in the team Sales Dashboard.
The team is large and has high turnover, and the manager wants the mechanism for restricting data access to be as automated as possible. However, the team does not have a Tableau Data Management license.
What should the consultant recommend to meet the company's requirements?

• A. Create a user filter in the Sales Dashboard workbook and map each sales representative to the territories they are responsible for. Publish this dashboard to the Sales Dashboard project and ensure all users have permissions to view the dashboard.
• B. Create separate workbooks for each territory. Publish each dashboard to the same Sales Dashboard project, and set permissions so each sales representative can see only the dashboards for their territories.
• C. Create a data source by joining the sales data table to an entitlements data table. Add a data source filter to restrict access and publish the data source. Connect the Sales Dashboard to this published data source.
• D. Create one group for each territory and assign sales representatives to the appropriate groups. Map each group to a territory in the Sales Dashboard. Publish this dashboard to the Sales Dashboard project and ensure all users have permissions to view the dashboard.

Answer: C

Explanation:
To ensure that each sales representative sees only data relevant to their territory, the best approach in the absence of a Tableau Data Management license involves using a joined data source with entitlements:
Data Source Configuration: Create a data source that joins the sales data table with an entitlements table. The entitlements table contains mappings of sales representatives to their respective territories.
Data Source Filter: Implement a data source filter that restricts data based on the current user's access rights. This filter references the joined entitlements to dynamically control data visibility based on the logged-in user.
Publishing the Data Source: Publish this filtered data source to Tableau Server. All workbooks or dashboards connecting to this data source inherently respect the row-level security established by the data source filter.
References
This approach aligns with Tableau's capabilities for implementing row-level security directly within the data source, as detailed in the Tableau security management and data modeling best practices.

 

NEW QUESTION # 51
A client has a published dashboard. They change the dashboard and then republish it. Now, users report that their web browser bookmarks to the dashboard are broken.
What are two possible causes for this issue? Choose two.

• A. Tableau Server was upgraded.
• B. The dashboard was published to a different project.
• C. New credentials were embedded into the data source.
• D. The dashboard was published with a new name.

Answer: B,D

Explanation:
When a client republishes a dashboard after making changes and users report broken bookmarks, the likely causes include:
The dashboard was published to a different project: Changing the project location alters the URL path, causing bookmarks to point to a now non-existent dashboard location.
The dashboard was published with a new name: Altering the dashboard's name changes its URL, resulting in broken bookmarks as the previous URL no longer leads to the intended dashboard.

 

NEW QUESTION # 52
......

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