Pass Guaranteed Tableau - TDS-C01 - Tableau Desktop Specialist Perfect Questions Answers

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Tableau TDS-C01 Exam Syllabus Topics:

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

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                                  Tableau Desktop Specialist Sample Questions (Q130-Q135):

                                  NEW QUESTION # 130
                                  For creating variable sized bins we use __________________

                                  Answer: D

                                  Explanation:
                                  One way to view a measure in Tableau Desktop is to split it into bins. You can think of bins as buckets based on a range of values. For example, say you have a measure that represents age. Instead of aggregating the measure to calculate the average age, you can bin the measure to define age groups: 0-5, 6-10, 11-15, and so on. Then you can count the number of people in each age group.
                                  Create a calculated field for variable bin size
                                  Step 1
                                  Select Analysis > Create Calculated Field.
                                  Step 2
                                  In the Calculated Field dialog box, complete the following steps:


                                  NEW QUESTION # 131
                                  What is the one most important thing you should do after creating a Dual-axis chart?

                                  Answer: D

                                  Explanation:
                                  After creating a dual axis chart, make sure to synchronise their axis since they both might not be having the same y-axis.

                                  To align the two axes in a dual axes chart to use the same scale, right-click (control-click on Mac) the secondary axis, and select Synchronize Axis. This aligns the scale of the secondary axis to the scale of the primary axis.
                                  In this example, the Sales axis is the secondary axis and the Profit axis is the primary axis.
                                  If you would like to change which axis is the primary, and which axis is the secondary, select the field on the Columns or Rows shelf that is the secondary, and drag it in front of the primary field on the shelf until you see an orange triangle appear.
                                  In this example, you can select the SUM(Sales) field on the Rows shelf, and drag it in front of the SUM(Profit) field. The Sales axis is now the primary and the Profit axis is the secondary.


                                  NEW QUESTION # 132
                                  When should you use a relationship instead of a join for two data sets?

                                  Answer: A

                                  Explanation:
                                  You should use a relationship instead of a join for two data sets when the data sets include similar data aggregated at different levels of detail. A relationship is a way of combining data from different tables based on common fields without creating a single table with all fields. A relationship allows you to query data from multiple tables as needed and preserve the level of detail of each table. A relationship is useful when you have data sets that are aggregated at different levels of detail, such as sales by region and sales by product. A relationship can matchdata from different levels of detail without creating null values or duplicate rows. The other options are not valid situations for using a relationship instead of a join for two data sets. The data sets include similar data aggregated up to the highest level is not correct, because a relationship is not needed when both data sets have the same level of detail. You can use either a relationship or a join in this case, depending on your preference and performance. The data sets are in two separate tables within a single spreadsheet is not correct, because a relationship is not limited by the location or format of the data sets. You can use a relationship to combine data from different sources or connections, such as databases, files, or web services.
                                  To use both data sets across multiple sheets in a visualization is not correct, because a relationship does not affect how you use data in your visualization. You can use either a relationship or a join to create multiple sheets and dashboards with your data sets.


                                  NEW QUESTION # 133
                                  ________________ can only create header. _______________ will create header and axis both.

                                  Answer: A

                                  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 # 134
                                  True or False: Context Filters are executed after Data Source filters

                                  Answer: B

                                  Explanation:
                                  THIS IS A VERY IMPORTANT QUESTION
                                  To answer this question, you need to understand Tableau's Order of Operations. See below and remember this always:


                                  NEW QUESTION # 135
                                  ......

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