Analytics-DA-201 Exam Dumps - Salesforce Tableau Data Analyst Questions and Answers

The correct order of the three actions is:

From the connections pane, connect to both data sources

Join both datasets and select the join type

Specify Employee Name as the join key

The first action is to connect to both data sources from the connections pane in Tableau Prep. The connections pane is where you can access and add data sources to your flow. You can connect to various types of data sources, such as Excel, SQL Server, or Tableau Server. In this case, you want to connect to an Excel worksheet and a SQL Server table.

The second action is to join both datasets and select the join type. A join is a way of combining data from two or more tables based on a common field. You can join datasets by dragging one table to the canvas and dropping it on top of another table. This will create a join step in your flow. You can select the join type from the drop-down list on the join step. The join type determines which rows are returned from the tables.

The third action is to specify Employee Name as the join key. A join key is a field that is used to match rows from different tables. You can specify the join key by clicking on the field name in each table and dragging it to the center of the join step. This will create a join clause that shows the field name and the operator. In this case, you want to use Employee Name as the join key, because it is a common field between the two datasets.

The other options are not relevant for this scenario. Specifying Department and Team Size as a join condition will not work, because they are not common fields between the two datasets. Opening both data sources in Tableau Desktop will not help you join them in Tableau Prep. Adding a step to aggregate the data in the SQL Server table will not affect the join, but it may change the level of detail of your data. References: https://help.tableau.com/current/prep/en-us/prep_connect.htm https://help.tableau. com/current/prep/en-us/prep_join.htm https://help.tableau.com/current/prep/en-us/prep_join_types.htm

To customize a layout for mobile users, you should select the Device Preview option first. This option will allow you to see how your dashboard will look on different types of devices, such as phones, tablets, or desktops. You can also choose different models and orientations to preview different screen sizes and resolutions. From the Device Preview mode, you can add, edit, or delete device layouts for each device type. You can also adjust the size, position, and formatting of the dashboard elements for each device layout. References:

Create Dashboard Layouts for Different Device Types - Tableau

Tableau Certified Data Analyst Study Guide

To analyze the average revenue per product in different regions over time, you need to use two fields that contain numeric, quantitative values that you can measure and aggregate. Quantity and Revenue are both measures that fit this criterion. You can multiply Quantity and Revenue to get the total sales for each product, and then divide by the number of products to get the average revenue. You can also use these measures to create charts and tables that show the trends and comparisons over time and across regions. References:

Dimensions and Measures, Blue and Green - Tableau

Tableau Certified Data Analyst Study Guide

RANK is a table calculation, and Tableau evaluates ordinary dimension filters before table calculations. Filtering out Phones , which is the highest-sales Technology sub-category, removes that mark before Tableau recalculates Rank for the remaining Technology members. Machines therefore moves from Rank 2 to Rank 1, Accessories from Rank 3 to Rank 2, and Copiers from Rank 4 to Rank 3. The Furniture members—Chairs, Tables, Bookcases, and Furnishings—remain in their existing partition and therefore retain their current ranks. Phones itself disappears rather than receiving a new displayed rank. Tableau documents RANK as ranking values within a partition and confirms through its order of operations that dimension filtering takes place before table calculations are evaluated. Therefore, Machines, Copiers, and Accessories are the three affected sub-categories.

An INCLUDE LOD expression is specifically useful when a calculation must incorporate a finer-grained dimension that is not already present in the visualization. INCLUDE adds the specified dimension to the level of detail established by the dimensions currently in the view, calculates the expression at that finer grain, and then allows Tableau to reaggregate the result at the view’s level. For example, { INCLUDE [Customer Name] : SUM([Sales] ) } can calculate sales per customer even when Customer Name itself is absent from the displayed view. If the dimension is already present in the view, INCLUDE generally adds no additional granularity for that field. The dimension does not specifically need to reside on the Marks card, Rows/Columns shelves, or Filters shelf. Therefore, Not in the View is the correct answer.

To connect to a tab-delimited data file named sales.tsv, you should select the option To a File > Text file in Tableau Desktop. This option will allow you to browse and select the file from your local or network drive and connect to it as a data source. You can then specify the text file properties, such as the delimiter, the text qualifier, and whether the first row contains column names. You can also join, union, or blend the data with other data sources if needed. References:

Text File - Tableau

Tableau Certified Data Analyst Study Guide

The When Workbook Opens setting creates a dynamic parameter domain based on values obtained from a data source field. When the workbook opens—or when the relevant data source is refreshed—Tableau can update the parameter’s allowable list or range from the current data rather than retaining a static list created earlier. Consequently, users can select values that currently exist in the refreshed field domain. Option A describes a static list whose values remain limited to what existed when the parameter was initially created. Option B describes an unrestricted parameter rather than a dynamic list, while option C describes a manually configured fixed range. Tableau’s parameter documentation states that selecting When the workbook opens refreshes a List or Range parameter’s domain from its data source.

Using relationships: You can use relationships to link the secondary data source with the primary data source based on a common field. This will allow you to use fields from both data sources in your visualization without creating new fields or duplicating data. You can then replace references to update the dimension values. For example, you can use relationships to link the updated dorm codes with the primary data source and then replace Dorm_Code with Dorm_Code_New in your visualization.

https://community.tableau.com/s/question/0D54T00000C5ldZSAR/update-data-view-based-on-dimension

To update existing visualizations with new codes without changing the field name, using relationships to bring in the secondary data source is appropriate. Then using Replace References allows you to update the references from the old dorm codes to the new ones while maintaining the existing field name.