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TDA-C01 practice exam enables applicants to practice time management, answer strategies, and all other elements of the final Tableau Certified Data Analyst (TDA-C01) certification exam and can check their scores. The exhaustive report enrollment database allows students to evaluate their performance and prepare for the Tableau Certified Data Analyst (TDA-C01) certification exam without further difficulty.

Tableau TDA-C01 certification exam is a computer-based test that consists of multiple-choice questions. TDA-C01 exam is divided into two sections: Desktop Specialist and Desktop Certified Associate. The Desktop Specialist section tests basic knowledge of Tableau Desktop, including data connectivity, creating visualizations, and sharing insights. The Desktop Certified Associate section delves deeper into advanced concepts such as data blending, calculations, and advanced analytics. TDA-C01 Exam is designed to assess the candidate's ability to use Tableau to perform complex data analysis and present findings in a clear and concise manner.

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The TDA-C01 Certification Exam is an online, proctored exam that consists of 36 multiple-choice questions. TDA-C01 exam is timed and lasts for 2 hours. Candidates who pass the exam are awarded the Tableau Certified Data Analyst certification. Tableau Certified Data Analyst certification is valid for two years and can be renewed by passing a recertification exam.

Tableau Certified Data Analyst Sample Questions (Q144-Q149):

NEW QUESTION # 144
You have a dataset that contains daily sales by business segment from 2017 to the present You want to use monthly historical trends to predict sales by segment in the future Which three actions should you perform m order?
(Place the three correct options in order Use the arrows to move Options lo Answer Area I In Answer Area arrows to re order the options.)

Answer:

Explanation:

Explanation:
The correct order of the three actions is:
Add the date to the Columns shelf. Add the segment and the sales to the Rows shelf.
Aggregate the date to month and year.
From the Analytics pane, drag Forecast to the worksheet.
The first action is to add the date to the Columns shelf and the segment and the sales to the Rows shelf. This will create a line chart that shows the daily sales by segment over time. You can use the Show Me menu to choose a line chart if it is not selected by default.
The second action is to aggregate the date to month and year. This will group the daily sales into monthly sales and show the yearly trend. You can right-click on the date field on the Columns shelf and select Month (January 2017) from the menu. You can also drag Year from the Dimensions pane to the Columns shelf before or after Month.
The third action is to drag Forecast from the Analytics pane to the worksheet. This will add a forecast that predicts future sales by segment based on historical trends. You can customize the forecast by clicking on it and using the options on the Marks card.
The other options are not relevant for this scenario. Adding a trend line would show a linear or nonlinear relationship between two measures, but not a prediction of future values. Creating a calculated field that uses the model quantile function would return a value from a statistical model based on a given quantile, but not a forecast.
References: https://help.tableau.com/current/pro/desktop/en-us/analytics.htm
https://help.tableau.com/current/pro/desktop/en-us/buildmanual_shelves.htm
https://help.tableau.com/current/pro/desktop/en-us/dates.htm
https://help.tableau.com/current/pro/desktop/en-us/analytics_forecast.htm
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_statistical.htm#MODEL_QUANTILE

NEW QUESTION # 145
You have two data sources that use the same schema One data source contains order data from 2019 and the other data source contains order data from 2020.
You have a worksheet that shows the orders from 2019.
You need to configure the worksheet to show the orders from 2020 without reloading the data.
Which option should you select?

Answer:

Explanation:

Explanation:
Replace Data Source
Replace Data Source is a feature that allows you to replace one data source with another one that has the same or similar fields and structure. It updates all the worksheets that use the original data source with the new one, without reloading the data. In this case, you want to replace the data source that contains order data from 2019 with the one that contains order data from 2020.
To replace the data source, you need to do the following steps:
Go to the Data Source tab at the bottom of the workbook to see the data source page. You will see a table that shows the fields and values from the original data source.
Click on the drop-down arrow next to the data source name at the top of the page and select Replace Data Source from the menu. This will open a dialog box that allows you to replace your data source with another one.
Select the data source that contains order data from 2020 from the list of available data sources and click OK. This will replace your original data source with the new one and update your worksheet accordingly. You may need to fix any broken fields or calculations that result from the replacement.
References: https://help.tableau.com/current/pro/desktop/en-us/datasource_replace.htm
https://help.tableau.com/current/pro/desktop/en-us/datasource_replace_workbook.htm

NEW QUESTION # 146
A Data Analyst wants to create the following table in a view:

Which function should the analyst use to create the Position column?

A. LAST
B. RANK
C. FIRST
D. INDEX

Answer: C

NEW QUESTION # 147
A Data Analyst is given the following table and asked to create a flow that adds a date field to the data. This field should automatically update as new dates (months) are added to the original table.

Which technique should the analyst use as the first step to achieve this in Tableau Prep?

A. A Rows to Columns Pivot step
B. A wildcard search to pivot in the Pivot step
C. An Aggregate step to reshape the data
D. A wildcard search for multiple tables in the Input step

Answer: B

NEW QUESTION # 148
A Data Analyst has a data source that contains the following columns:

he analyst has the following FIXED Level of Detail (LOD) expression called Region Sales:
{ FIXED [Region] : SUM([Sales]) }
The analyst has a view that has a dimension filter on the State column to exclude five states.
What should the analyst do to ensure the five states are also excluded from the LOD expression?

A. Change the LOD expression to { FIXED [Region], [State] : SUM([Sales]) }.
B. Drag the LOD expression to the Filters shelf.
C. Right-click the State dimension filter, and then click Attribute.
D. Right-click the State dimension filter, and then click Add to Context.

Answer: D

NEW QUESTION # 149
......

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