100% Pass Updated TDS-C01 - Tableau Desktop Specialist Review Guide

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Tableau TDS-C01 Exam Syllabus Topics:

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

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                                    Tableau Desktop Specialist Sample Questions (Q65-Q70):

                                    NEW QUESTION # 65
                                    If you see the following Filter, then you're working with _______________________ Larger image

                                    Answer: D

                                    Explanation:
                                    Dates in Tableau will behave differently depending on whether they are a Datepart (blue) or a Datevalue (green). This affects how the axes display/behave and also how visualisations such as line charts will display. The difference essentially boils down to Dateparts behaving like a dimension as opposed to a measure which is how Datevalues behave. This means that Dateparts behave like discrete categories on the view whereas Datevalues are more like continuous numeric values.
                                    Dateparts are discrete and they behave the same as dimension filters. If all dates are used on the filter then each individual date will be a datepart that can be selected/excluded. This is the same for each level of date, if datepart months is placed on filters January to December will be tick-able options in the filter. This also means that conditions and top/bottom filters can be applied to datepart filters like any other dimension filter.
                                    Datevalues placed on filters behave like measure filters. A min and a max date can be set and there is a relative dates option which allows you to choose things like only show the previous 3 months or years etc.


                                    NEW QUESTION # 66
                                    When you want to first apply a filter and THEN show the Top N or Bottom N elements, which of the following filters would you use?

                                    Answer: B


                                    NEW QUESTION # 67
                                    You have a dashboard that shows car rental statistics by city, including a field named Car Dropoff City in the view. A URL action in the dashboard uses https://en.wikipedia.org/wiki/<Car Dropoff City> as the URL target.
                                    When you click Salt Lake City in the view, to where will the URL action direct you?

                                    Answer: C

                                    Explanation:
                                    In this URL action, <Car Dropoff City> is a placeholder that will be replaced with the actual value in the Car Dropoff City field when the action is triggered. If you click on Salt Lake City in the view, Tableau will replace <Car Dropoff City> with Salt_Lake_City, following Wikipedia's standard URL format for spaces (using underscores), directing you to the page
                                    https://en.wikipedia.org/wiki/Salt_Lake_City.


                                    NEW QUESTION # 68
                                    A union of two tables usually results in an

                                    Answer: A

                                    Explanation:
                                    From the official Tableau documentation:
                                    You can union your data to combine two or more tables by appending values (ROWS) from one table to another. To union your data in Tableau data source, the tables must come from the same connection.


                                    NEW QUESTION # 69
                                    Dates in Tableau are typically treated as ______________

                                    Answer: A

                                    Explanation:
                                    For relational data sources, dates and times are automatically placed in the Dimensions area of the Data pane and are identified by the date or date-time icon. For example, the Order Date and Ship Date dimensions from an Excel data source are shown below:

                                    When you place a relational date on a shelf, the field name is automatically modified to reflect the default date level. Tableau defines the default date level to be the level at which there are multiple instances. For example, if the date field includes multiple years, the default level is year. However, if the date field contains data for just one year but includes multiple months, then the default level is month.


                                    NEW QUESTION # 70
                                    ......

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