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Tableau TDS-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Understanding Tableau Concepts20%- Data organization concepts
  • 1. Aggregations and granularity
    • 2. Hierarchies and data types
      - Core Tableau architecture
      • 1. Discrete vs continuous fields
        • 2. Dimensions and measures
          Topic 2: Working with Data30%- Calculations
          • 1. Basic calculated fields
            • 2. Quick table calculations
              - Data manipulation
              • 1. Filtering and sorting
                • 2. Grouping and sets
                  Topic 3: Connecting to and Preparing Data25%- Data preparation basics
                  • 1. Data cleaning and shaping
                    • 2. Data extracts and live connections
                      - Connect to data sources
                      • 1. File-based and server-based data connections
                        • 2. Data source types and connectivity options
                          Topic 4: Using Tableau Desktop25%- Visualization building
                          • 1. Shelves and cards usage
                            • 2. Chart types and use cases
                              - Dashboard creation
                              • 1. Publishing and sharing workbooks
                                • 2. Dashboard layout and interactivity

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                                  Tableau Desktop Specialist Sample Questions (Q62-Q67):

                                  NEW QUESTION # 62
                                  ______________ refers to the level of detail for a piece of data, wherever you are looking.

                                  Answer: C

                                  Explanation:
                                  Explanation
                                  Data is generated and analyzed at many different levels of granularity. Granularity is the level of detail of the data. For example, when looking at graduation data, granularity would describe whether a row in the data set represents a single person or the graduating class of a university.


                                  NEW QUESTION # 63
                                  You have a data set that builds a union between two tables. You need to extract the data set. What should you use to extract the data set?

                                  Answer: A

                                  Explanation:
                                  When dealing with a union of two tables in Tableau, using logical tables with a single table extract is the most appropriate approach. Logical tables allow for the integration of data from multiple tables in a way that is seamless and efficient for analysis. By using a single table extract, Tableau consolidates the data from the union into one extract, optimizing performance and enabling faster data processing. This approach is particularly beneficial when working with large datasets or complex unions.


                                  NEW QUESTION # 64
                                  What does it imply if a field has a blue background?

                                  Answer: C

                                  Explanation:
                                  When you connect to a new data source, Tableau assigns each field in the data source as dimension or measure in the Data pane, depending on the type of data the field contains. You use these fields to build views of your data.


                                  NEW QUESTION # 65
                                  Which of the following is the best reason to use an extract instead of a live connection?

                                  Answer: C


                                  NEW QUESTION # 66
                                  Broadly speaking, when users connect to Tableau, the data fields in their data set are automatically assigned a
                                  ____________ and a ____________.

                                  Answer: A

                                  Explanation:
                                  Explanation
                                  When users connect to Tableau, the data fields in their data set are automatically assigned a role and a type.
                                  Role can be of the following two types:
                                  1) Dimension
                                  2) Measure
                                  Type can be of the following :
                                  1) String
                                  2) Number
                                  3) Geographic
                                  4) Boolean
                                  5) Date
                                  6) Date and Time


                                  NEW QUESTION # 67
                                  ......

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