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Tableau TDS-C01 Exam Syllabus Topics:

SectionWeightObjectives
Connecting to & Preparing Data25%- Prepare and transform data
  • 1. Combine data with joins, unions, blends
    • 2. Customize fields: type, alias, discrete/continuous
      • 3. Shape data: filter, group, aggregate
        - Connect to data sources
        • 1. Use Data Interpreter, pivot, split
          • 2. Save and use .TDS files
            • 3. Live connections and extracts
              Sharing Insights & Building Dashboards25%- Create stories
              • 1. Combine visualizations into stories
                - Build interactive dashboards
                • 1. Add sheets, filters, actions, parameters
                  • 2. Design for different devices
                    - Publish and share content
                    • 1. Export: image, PDF, PowerPoint
                      • 2. Publish to Tableau Server / Online / Public
                        Exploring & Analyzing Data35%- Create calculations
                        • 1. Level of Detail (LOD) expressions
                          • 2. Basic calculations: string, date, math, logic
                            - Create basic visualizations
                            • 1. Tables: crosstab, highlight table
                              • 2. Charts: bar, line, scatter, map, dual-axis
                                - Use filters, sets, groups
                                • 1. Filter by dimension, measure, date, context
                                  • 2. Create and use sets and groups
                                    Understanding Tableau Concepts15%- Data types and roles
                                    - Tableau file types and structure
                                    - Dimensions vs Measures, Discrete vs Continuous

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                                    TDS-C01 Latest Exam & TDS-C01 Exam Question

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                                    Tableau Desktop Specialist Sample Questions (Q82-Q87):

                                    NEW QUESTION # 82
                                    Which of the following would you use to connect to multiple tables in a single data source at once?

                                    Answer: A

                                    Explanation:
                                    Explanation
                                    The data that you analyze in Tableau is often made up of a collection of tables that are related by specific fields (that is, columns). Joining is a method for combining data on based on those common fields. The result of combining data using a join is a virtual table that is typically extended horizontally by adding columns of data.
                                    For example, consider the following two tables originating from a single data source:

                                    We can combine these 2 tables, simply by joining the tables on ID to answer questions like, "How much was paid in royalties for authors from a given publisher?". By combining tables using a join, you can view and use related data from different tables in your analysis.


                                    NEW QUESTION # 83
                                    True or False: All rows from both tables are returned in an INNER JOIN

                                    Answer: B

                                    Explanation:
                                    The INNER JOIN keyword selects all rows from both tables as long as there is a match between the columns. Consider 2 tables "Orders" and "Customers".
                                    If there are records in the "Orders" table that do not have matches in "Customers", these orders will not be shown!


                                    NEW QUESTION # 84
                                    Dimensions containing ____________ and ____________ values cannot be continuous.

                                    Answer: B,C

                                    Explanation:
                                    According to Tableau's official documentation -


                                    NEW QUESTION # 85
                                    Using the dataset, create a bar chart showing the average Quantity broken down by Region, and filtered by Country to only show Japan. What was the average Quantity in the State of Tokyo?

                                    Answer: D

                                    Explanation:
                                    Since we need to focus on 1 country -> Japan, let's filter on it first as follows:
                                    1) Drag Country to the filter shelf, and choose only Japan. Click OK.

                                    2) Read the Question Carefully, we need to break down the visualisation by Region, then by Country, and then by State. So let's do that:
                                    Drag Region to the column shelf, followed by Country. Drill down into Country to include states as well.
                                    Then drag Quantity to the Row Shelf, and change the Aggregation to AVERAGE.
                                    The following is our visualisation:

                                    Now that you think of it, EVEN IF YOU REMOVE THE REGION, THE ANSWER REMAINS THE SAME. Such elements will be present in the actual exam too, just to make the question sound a little difficult, but actually it is pretty straightforward :)


                                    NEW QUESTION # 86
                                    How can you MANUALLY assign geographic roles to a dimension from the data pane?

                                    Answer: B

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


                                    NEW QUESTION # 87
                                    ......

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