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Certification TDS-C01 Exam Dumps - TDS-C01 Test Pattern

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    The TDS-C01 exam consists of 36 multiple-choice questions and has a time limit of 120 minutes. The exam covers a wide range of skills, including connecting to and preparing data, creating and editing visualizations, using calculations, and publishing and sharing content. The exam is designed to assess an individual's ability to use Tableau Desktop to solve real-world data problems. Upon passing the exam, individuals will receive a digital badge that can be displayed on their LinkedIn profile or resume, indicating their proficiency in Tableau Desktop. The TDS-C01 certification is a recognized credential in the data visualization industry and can help individuals stand out in a competitive job market.

    Tableau TDS-C01 Exam Syllabus Topics:

    TopicDetailsTopic 1
    • Configure a dashboard layout and create device-specific dashboards
    • Add relationships to a data source
    Topic 2
    • Change default properties for a data field
    • Create a live connection to a data source
    Topic 3
    • Explain how continuous fields are displayed
    • Explain the default aggregation for measures
    Topic 4
    • Use color from the marks card
    • Connecting to & Preparing Data
    • Create live connections and extracts
    Topic 5
    • Explain the difference between dimensions and measures
    • Create a data source that uses multiple connections
    Topic 6
    • Explain what kind of information dimensions usually contain
    • Create sets by using marks and the data pane

    >> Certification TDS-C01 Exam Dumps <<

    Free PDF Quiz 2023 TDS-C01: Tableau Desktop Specialist – The Best Certification Exam Dumps

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    The Tableau TDS-C01 exam is an online, proctored exam that can be taken from the comfort of your own home or office. The exam is administered by Pearson VUE, a leading provider of computer-based testing services. Candidates must have a computer with a webcam and a reliable internet connection to take the exam.

    Tableau Desktop Specialist Sample Questions (Q96-Q101):

    NEW QUESTION # 96
    Create a Set containing Customer Names whose Sales are GREATER than 30,000. Which customer had the LEAST sales in this set?

    • A. Penelope Sewall
    • B. Sanjit Engle
    • C. Tom Ashbrook
    • D. Tamara Chand

    Answer: A

    Explanation:
    As the question mentions, we need to create a SET with the following conditions -> Choose only those customers whose Sales > 30,000
    1) Right click on customer name --> Create --> Set

    2) Let's Name the Set - Customer>30k ( you can name it anything you want :) ) Select USE ALL, and then move to the CONDITION TAB:

    3) In the Condition Tab, Choose BY FIELD -> Select Sales -> Sum -> Greater than 30000 , and click OK

    4) You should now have a new Set in the Data Pane as follows:

    5) Drag this set to the rows shelf, and click on SHOW MEMBERS IN SET. Now drag Sales to the Column Shelf.

    6) Click on the Show Mark Labels, and Sort ascending icons as shown:

    7) Voila! We have our answer:


    NEW QUESTION # 97
    True or False: LEFT JOIN returns all rows from the left table, with the matching rows in the right table

    • A. False
    • B. True

    Answer: B

    Explanation:
    Explanation
    This is true, indeed!
    The LEFT JOIN keyword returns all records from the left table (table1), and the matched records from the right table (table2). The result is NULL from the right side, if there is no match.


    NEW QUESTION # 98
    If you decide you want to see all of the marks in the view at the most detailed level of granularity, you can __________________ the view.

    • A. aggregate the measures
    • B. split the measures
    • C. sort the measures
    • D. break-down the measures
    • E. disaggregate the measures

    Answer: E

    Explanation:

    The different aggregations available for a measure determine how the individual values are collected: they can be added (SUM), averaged (AVG), or set to the maximum (MAX) or minimum (MIN) value from the individual row values.
    For a complete list of the available aggregations, check out - List of Predefined Aggregations in Tableau.
    The level of detail is determined by the dimensions in your view-for information about the concept of level of detail, see How dimensions affect the level of detail in the view.
    Disaggregating your data can be useful for analyzing measures that you may want to use both independently and dependently in the view. For example, you may be analyzing the results from a product satisfaction survey with the Age of participants along one axis. You can aggregate the Age field to determine the average age of participants or disaggregate the data to determine at what age participants were most satisfied with the product.
    Disaggregating data can be useful when you are viewing data as a scatter plot. See Example: Scatter Plots, Aggregation, and Granularity.


    NEW QUESTION # 99
    How can you add color to marks in the view in Tableau?

    • A. In the column/row shelf, right click the field and click on edit in shelf to select the color.
    • B. From the Data pane, drag a field to Color on the Marks card.
    • C. Click on Data in the main menu above, and click on choose color.
    • D. From the Analytics pane, drag a model to Color on the Marks card.

    Answer: B

    Explanation:
    To assign a color to marks in the view, do the following:
    From the Data pane, drag a field to Color on the Marks card.
    Tableau applies different colors to marks based on the field's values and members. For example, if you drop a discrete field (a blue field), such as Category, on Color, the marks in the view are broken out by category, and each category is assigned a color.

    If you drop a continuous field, such as SUM(sales), on Color, each mark in the view is colored based on its sales value.


    NEW QUESTION # 100
    Which of the following can you use to create a Histogram?

    • A. 2 dimensions
    • B. 1 dimension
    • C. 2 measures
    • D. 1 measure

    Answer: D

    Explanation:
    A histogram is a chart that displays the shape of a distribution. A histogram looks like a bar chart but groups values for a continuous measure into ranges, or bins.
    The basic building blocks for a histogram are as follows:


    Demo :


    NEW QUESTION # 101
    ......

    TDS-C01 Test Pattern: https://www.testbraindump.com/TDS-C01-exam-prep.html