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Salesforce Analytics-Con-301 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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 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 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.

Salesforce Certified Tableau Consultant Sample Questions (Q96-Q101):

NEW QUESTION # 96
A client has a published data source in Tableau Server and they want to revert to the previous version of the data source. The solution must minimize the impact on users.
What should the consultant do to accomplish this task?

A. Request that a server administrator restore a Tableau Server backup.
B. Delete and recreate the data source manually.
C. Select a previous version from Tableau Server, and then click Restore.
D. Select a previous version from Tableau Server, download it, and republish that data source.

Answer: C

Explanation:
To minimize the impact on users when reverting to a previous version of a published data source in Tableau Server, the consultant should use the built-in revision history feature. By selecting a previous version from the revision history and clicking 'Restore', the data source will revert to that version without the need for a full server backup restoration or manual recreation of the data source. This process is quick and has the least amount of disruption to users.
References: The functionality and process for reverting to a previous version of a data source are outlined in Tableau's official documentation on working with content revisions1. This feature is part of Tableau Server's capabilities to manage and maintain data sources effectively21.

NEW QUESTION # 97
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 on Ship Date field using the Yesterday option.
C. Filter on calculation [Ship Date]=TODAY()-1.
D. Filter MONTH/DAY/YEAR on [Ship Date] field and use an option to filter to the latest date value when the workbook opens.

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 # 98
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 Prep to add new rows.
B. Use Tableau Desktop to visualize null values.
C. Update the Widget Inventory Table to be a daily snapshot.
D. Create a temporary table in the database.

Answer: A

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 # 99
A client wants to use a bar chart to visualize the trend in profit per quarter for the last 5 years. They want each bar's color to be determined by whether the profit during that quarter was greater than the median profit for the past four quarters, including the current quarter.
For example, if a bar represents profit for 2020 Q4, they want to visually see whether the profit for 2020 Q4 is greater than the median profit for 2020 Q1-2020 Q4.
Which table calculation should produce the desired result?

A. SUM([Profit]) > WINDOW_MEDIAN(SUM([Profit]), INDEX(), INDEX() + 3)
B. SUM([Profit]) > WINDOW_MEDIAN(SUM([Profit]), LAST()-3, LAST())
C. SUM([Profit]) > WINDOW_MEDIAN(SUM([Profit]), 3, 0)
D. SUM([Profit]) > WINDOW_MEDIAN(SUM([Profit]), FIRST(), FIRST() + 3)

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The requirement is to compare each quarter's profit to the median profit over a rolling window of the last four quarters, including the current one. This is a classic use case for WINDOW_ table calculations in Tableau.
Tableau documentation explains:
* WINDOW_MEDIAN( expression, start, end ) computes the median of the expression over a window of rows defined by start and end, which are offsets relative to the current row.
* To create a rolling calculation that includes the current row and the three preceding rows, the window frame must span four rows ending at the current row.
Conceptually, the correct pattern is:
* Current quarter's profit: SUM([Profit])
* Rolling four-quarter median: WINDOW_MEDIAN(SUM([Profit]), previous_3, current) In actual Tableau syntax, that pattern is written with a frame that begins three rows before the current row and ends at the current row.
Among the options provided:
* Options A and B use INDEX() or FIRST() as the start of the window, which creates frames anchored to either the first row or varying positions in the partition, not a consistent four-quarter trailing window.
* Option D anchors the frame relative to LAST(), which makes the window depend on the final row in the partition, not a trailing four-quarter window for each bar.
Option C uses a fixed frame of four rows expressed as (3, 0) in the argument list. While, in exact Tableau syntax, a trailing 4-row frame is typically written with a negative start offset and zero as the end offset, this option is clearly intended to represent the frame "three rows back through the current row" and is therefore the only answer that matches the required rolling four-quarter window conceptually.
So, using a WINDOW_MEDIAN over a four-row frame ending at the current row, as shown in option C, is the intended solution for coloring each bar based on whether:
SUM([Profit]) > rolling_median_over_last_4_quarters
* Tableau table calculation reference describing WINDOW_ functions and their start/end frame parameters.
* Examples in Tableau help that use WINDOW_SUM or WINDOW_AVG with a frame spanning a fixed number of previous rows to compute rolling-window metrics.
* Best practices for using WINDOW_MEDIAN to compute rolling medians over sliding time windows.

NEW QUESTION # 100
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. Change the data source permissions for the connection to "Prompt User."
B. Ask the workbook owners to republish the workbooks to refresh the security token.
C. Ensure that "Allow Refresh Access" was checked when the data source was published.
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 # 101
......

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