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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. Basic calculated fields
        • 2. Quick table calculations
          Using Tableau Desktop25%- Dashboard creation
          • 1. Publishing and sharing workbooks
            • 2. Dashboard layout and interactivity
              - Visualization building
              • 1. Shelves and cards usage
                • 2. Chart types and use cases
                  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
                          Understanding Tableau Concepts20%- Core Tableau architecture
                          • 1. Dimensions and measures
                            • 2. Discrete vs continuous fields
                              - Data organization concepts
                              • 1. Hierarchies and data types
                                • 2. Aggregations and granularity

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                                  Tableau Desktop Specialist Sample Questions (Q19-Q24):

                                  NEW QUESTION # 19
                                  When should you use a relationship instead of a join for two data sets?

                                  Answer: C

                                  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 # 20
                                  Which of the following returns the Absolute Value of a given number?

                                  Answer: C

                                  Explanation:
                                  From the official Tableau website:




                                  NEW QUESTION # 21
                                  Larger image

                                  What is this entire view referred to as in Tableau?

                                  Answer: A

                                  Explanation:
                                  Explanation
                                  Distribution Pane
                                  Explanation
                                  This is the Analytics pane! Read more from the official documentation below:


                                  NEW QUESTION # 22
                                  How can you MANUALLY assign geographic roles to a dimension from the data pane?

                                  Answer: C

                                  Explanation:
                                  Explanation
                                  From the data pane, simply right click on the dimension, choose geographic role, and then select the appropriate role as follows:


                                  NEW QUESTION # 23
                                  Suppose you create a bar chart by dragging a dimension to the Column shelf and a measure to the Rows shelf. Which of the following would create a stacked bar chart?

                                  Answer: C

                                  Explanation:
                                  Very important question for the exam and appears quite a lot too.
                                  The correct answer is - By dragging another dimension to Color on the Marks card.

                                  This is what the question says we have already created. Now to convert this into a Stacked bar chart, we will drop another dimension on Color in the Marks card.

                                  The rest won't create stacked bar charts, and hence are incorrect choices. The best way to answer such questions on the real exam is to quickly do what the options say and see if they satisfy the requirements in the question.


                                  NEW QUESTION # 24
                                  ......

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