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Tableau TDS-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Connecting to & Preparing Data25%- Prepare and transform data
  • 1. Customize fields: type, alias, discrete/continuous
    • 2. Shape data: filter, group, aggregate
      • 3. Combine data with joins, unions, blends
        - Connect to data sources
        • 1. Use Data Interpreter, pivot, split
          • 2. Live connections and extracts
            • 3. Save and use .TDS files
              Topic 2: Exploring & Analyzing Data35%- Use filters, sets, groups
              • 1. Filter by dimension, measure, date, context
                • 2. Create and use sets and groups
                  - 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
                          Topic 3: Understanding Tableau Concepts15%- Dimensions vs Measures, Discrete vs Continuous
                          - Data types and roles
                          - Tableau file types and structure
                          Topic 4: Sharing Insights & Building Dashboards25%- Publish and share content
                          • 1. Publish to Tableau Server / Online / Public
                            • 2. Export: image, PDF, PowerPoint
                              - Build interactive dashboards
                              • 1. Add sheets, filters, actions, parameters
                                • 2. Design for different devices
                                  - Create stories
                                  • 1. Combine visualizations into stories

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                                    Tableau Desktop Specialist Sample Questions (Q62-Q67):

                                    NEW QUESTION # 62
                                    Which of the following are valid use-cases for the 'Manage Metadata' functionality?

                                    Answer: A,B,C

                                    Explanation:
                                    Top of Form
                                    To clean and automatically fix the data issues in our data source - This is the definition of Data Interpreter.
                                    To rename the field in the original data source - We never modify the original data source when managing metadata. All changes are local to Tableau for our convenience only.
                                    All other options can be modified using the Manage Metadata property.
                                    Graphical user interface, text, application, email Description automatically generated

                                    Bottom of Form


                                    NEW QUESTION # 63
                                    You can use the __________________ in Tableau to clean / organise your data.

                                    Answer: D

                                    Explanation:
                                    When you track data in Excel spreadsheets, you create them with the human interface in mind. To make your spreadsheets easy to read, you might include things like titles, stacked headers, notes, maybe empty rows and columns to add white space, and you probably have multiple tabs of data too.
                                    When you want to analyze this data in Tableau, these aesthetically pleasing attributes make it very difficult for Tableau to interpret your data. That's where Data Interpreter can help.


                                    NEW QUESTION # 64
                                    Larger image

                                    What is this view referred to as in Tableau?

                                    Answer: B

                                    Explanation:
                                    Explanation
                                    Tableau displays data source connections and data fields for the workbook in the Data pane on the left side of the workspace.
                                    The Data pane includes:
                                    Dimension fields - Fields that contain qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data. Dimensions affect the level of detail in the view. Examples of dimensions include dates, customer names, and customer segments.
                                    Measure fields - Fields that contain numeric, quantitative values can be measured. You can apply calculations to them and aggregate them. When you drag a measure into the view, Tableau applies an aggregation to that measure (by default). Examples of measures: sales, profit, number of employees, temperature, frequency.
                                    For more information on what dimensions and measures are, see Dimensions and Measures, Blue and Green.
                                    Calculated fields - If your underlying data doesn't include all of the fields you need to answer your questions, you can create new fields in Tableau using calculations and then save them as part of your data source. These fields are called calculated fields.
                                    For more information on calculated fields, see Create Custom Fields with Calculations.
                                    Sets - Subsets of data that you define. Sets are custom fields based on existing dimensions and criteria that you specify. For more information, see Create Sets.
                                    Named sets from an MS Analysis Services server or from a Teradata OLAP connector also appear in Tableau in this area of the Data pane. You can interact with these named sets in the same way you interact with other custom sets in Tableau.
                                    Parameters - Values that can be used as placeholders in formulas, or replace constant values in calculated fields and filters. For more information, see Create Parameters.


                                    NEW QUESTION # 65
                                    DOWNLOAD THE DATASET FROM:
                                    https://drive.google.com/drive/folders/1WXzqsrNmXVdmQ-574wld4InEplyKT8RP?usp=sharing (if you haven't already) Using the cwurData table, plot a Map to see which country had the Second highest number of patents in the Year 2013?

                                    Answer: D

                                    Explanation:
                                    Explanation
                                    Follow along to get the correct answer:
                                    * Drag Country to the view, and then Patents to the Size Mark on the Marks shelf as follows :
                                    2) But, this isn't all right? We need to focus on the year 2013. This can be done by using the year column as it is (continuous) in the filter shelf, or by converting it to discrete first and then using it:
                                    2.1 As it is (continuous)

                                    2.2 Converting to discrete first & then using it

                                    and then :

                                    3) We can now see that France, with 485 has the 2nd most number of patents for the year 2013


                                    NEW QUESTION # 66
                                    Which type of date filter can you use to choose a range of dates based on TODAY ()?

                                    Answer: C

                                    Explanation:
                                    The relative date filter can be used to select a range of dates relative to the current date, such as the past month, the current quarter, etc. This filter type dynamically adjusts the range based on the current system date, making it suitable for use with the TODAY() function.


                                    NEW QUESTION # 67
                                    ......

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