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Tableau TDS-C01 Exam Syllabus Topics:

SectionWeightObjectives
Connecting to and Preparing Data25%- Data preparation basics
  • 1. Data extracts and live connections
    • 2. Data cleaning and shaping
      - Connect to data sources
      • 1. File-based and server-based data connections
        • 2. Data source types and connectivity options
          Using Tableau Desktop25%- Visualization building
          • 1. Shelves and cards usage
            • 2. Chart types and use cases
              - Dashboard creation
              • 1. Publishing and sharing workbooks
                • 2. Dashboard layout and interactivity
                  Understanding Tableau Concepts20%- Data organization concepts
                  • 1. Hierarchies and data types
                    • 2. Aggregations and granularity
                      - Core Tableau architecture
                      • 1. Discrete vs continuous fields
                        • 2. Dimensions and measures
                          Working with Data30%- Calculations
                          • 1. Basic calculated fields
                            • 2. Quick table calculations
                              - Data manipulation
                              • 1. Filtering and sorting
                                • 2. Grouping and sets

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                                  Tableau Desktop Specialist Sample Questions (Q84-Q89):

                                  NEW QUESTION # 84
                                  In Tree maps, the size begins with the largest rectangle on the ________________ and the smallest rectangle on the ________________.

                                  Answer: A

                                  Explanation:
                                  Explanation
                                  Tree maps size begins from maximum in top left to smallest in bottom right.

                                  See below to learn how to create a TreeMap and add colours to it:


                                  NEW QUESTION # 85
                                  ________________ can only create header. _______________ will create header and axis both.

                                  Answer: C

                                  Explanation:
                                  Using the Sample superstore as a reference:
                                  1) Let's plot a bar chart showing SUM(Quantity) for each Segment:
                                  2) Right click on the x-axis (Segment):
                                  Notice we don't have an option to edit the axis, only header. This is because only continous values form the AXIS.
                                  3) Similarly, right click on the y-axis (Quantity):

                                  Now we have the option to edit BOTH the axis and the header.
                                  Reference:
                                  2) Right click on the x-axis (Segment):
                                  Notice we don't have an option to edit the axis, only header. This is because only continous values form the AXIS.
                                  3) Similarly, right click on the y-axis (Quantity):

                                  Now we have the option to edit BOTH the axis and the header.


                                  NEW QUESTION # 86
                                  Which of the following are valid ways of Grouping Data?

                                  Answer: B,C,D

                                  Explanation:
                                  **IMPORTANT QUESTION AND , PLEASE READ**
                                  3 ways to group data -
                                  1) Marks
                                  2) Labels
                                  3) Dimensions shelf.
                                  *IMPORTANT*
                                  If we Group the data by selecting the marks, then they remain separate marks in the view and then have the same colour. Also, a new group is created in the Dimensions shelf. Example - Using the sample superstore dataset, first plot a bar chart showing sales for each sub-category:

                                  Here, if we Select Phones, Chairs and Storage by selecting the MARKS (Bars), and then group them:

                                  They remain seperate marks (BARS) but are grouped by the same colour.
                                  Now, if we didn't do this, and rather grouped by selecting their Labels (Names):

                                  Then they no longer remain separate Marks (bars) but are rather consolidated into a single Bar:

                                  Finally, we can group directly from the Dimensions shelf as follows:

                                  Now choose Phones, Chairs and Storage and Click Group:

                                  You will now automatically have a new Dimension as follows:


                                  NEW QUESTION # 87
                                  How can you format an axis as Bold in Tableau?

                                  Answer: C

                                  Explanation:
                                  To make an axis bold, simply right click it, select format, and then click on Font to choose Bold:

                                  None of the other options are valid ways to make the axis bold.

                                  Read more about editing axis: https://help.tableau.com/current/pro/desktop/en-us/formatting_editaxes.htm


                                  NEW QUESTION # 88
                                  When field names in the Union do not match, then:

                                  Answer: C

                                  Explanation:
                                  By default, both field names are present in the Union, but contain several null values!
                                  When field names in the union do not match, fields in the union contain null values. You can merge the non-matching fields into a single field using the merge option to remove the null values. When you use the merge option, the original fields are replaced by a new field that displays the first non-null value for each row in the non-matching fields.
                                  You can also create your own calculation or, if possible, modify the underlying data to combine the non-matching fields.
                                  For example, suppose you have the following customer purchase information stored in three tables, separated by month. The table names are "May2016," "June2016," and "July2016." Table Description automatically generated

                                  A union of these tables creates the following single table that contains all rows from all tables.
                                  Table Description automatically generated

                                  Now suppose a fourth table, "August2016", is added to the underlying data. Instead of the standard
                                  "Customer" field name, it contains an abbreviated version called "Cust." Table Description automatically generated

                                  Table Description automatically generated


                                  NEW QUESTION # 89
                                  ......

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