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NEW QUESTION # 94
A client wants to provide sales users with the ability to perform the following tasks:
* Access published visualizations and published data sources outside the company network.
* Edit existing visualizations.
* Create new visualizations based on published data sources.
. Minimize licensing costs.
Which site role should the client assign to the sales users?
Answer: B
Explanation:
The Explorer (can publish) site role in Tableau is designed for users who need to access, edit, and create visualizations based on published data sources, even when they are outside the company network. This role allows users to perform web editing and save their work, making it suitable for sales users who need these capabilities. It is also a cost-effective option as it does not require the full capabilities and associated costs of the Creator license.
References: The information about the Explorer (can publish) role and its capabilities can be found in the official Tableau documentation on site roles and permissions12. This role is appropriate for users who need to interact with published content and create new visualizations without the need for full site administration or advanced content creation tools that come with the Creator role3.
NEW QUESTION # 95
A consultant updates an IF-THEN calculation to use a newly created calculated field "Last Name" (parsed from "Full Name"). After the change, performance becomes noticeably worse.
Which two options should the consultant use to improve dashboard performance without altering functionality? Choose two.
Answer: A,D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The performance degradation originates from string parsing inside Tableau ("last word of Full Name") and then feeding that calculated field into another row-level IF-THEN calculation.
This creates:
* Nested calculations
* High per-row evaluation load
* Slow extract query performance or slow live query generation
Tableau documentation recommends two best-practice approaches:
Solution 1: Precompute the "Last Name" field upstream (Option C)
When the parsing is performed in:
* The database
* ETL/ELT pipelines
* Tableau Prep
then Tableau Desktop receives a clean field with no runtime computation needed.
This significantly reduces row-level calculation burden.
Solution 2: Replace Quick Filters with Action Filters (Option A)
Quick filters are expensive because Tableau:
* Runs additional queries to populate filter controls
* Re-queries every time the filter changes
Action Filters run directly from the visualization and are far more performant.
This improves the overall dashboard performance without changing logic.
Why the other options are incorrect:
B). Calculate "Last Name" inside the IF THEN calculation
This makes the expression even more complex - worse performance.
D). Change to a CASE statement
CASE does not improve performance when the heavy part of the logic is the string parsing, not the IF-THEN structure.
Thus, A and C are the correct performance-improving choices.
* Performance guidance recommending upstream computation of string fields
* Filter optimization best practices encouraging Action Filters over Quick Filters
* Extract runtime cost reduction strategies
NEW QUESTION # 96
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 # 97
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?
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 # 98
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: C
Explanation:
OD. Restrict users from accessing the workbook to reduce server load.
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 # 99
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