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Tableau TDS-C01 Exam Questions
- Topic 1: Connecting to and Preparing Data: This section of the exam measures the skills of Tableau Developers and covers the fundamentals of data connection and preparation in Tableau. It includes creating live connections and extracts, understanding their differences, and saving metadata properties. Candidates should be able to create data sources with multiple connections and manage the data model by adding relationships, joins, and unions. The exam also tests knowledge of data property management, including renaming fields, assigning aliases and geographic roles, changing data types, and modifying default properties. A key skill measured is the ability to create an extract from a data source, which optimizes performance for large datasets.
- Topic 2: Exploring and Analyzing Data: Data Analysts are evaluated on their ability to create and manipulate various chart types in Tableau. This domain covers the creation of basic charts such as bar charts, line charts, scatterplots, and maps. It also includes more advanced visualizations like combined axis charts, dual axis charts, and density maps.
- Topic 3: Sharing Insights: This section measures the skills of Tableau Developers in presenting and sharing data insights effectively. It covers formatting views for presentation, including the use of colors, fonts, shapes, and animations. Candidates should be able to create and modify dashboards by adding worksheets, interactive elements, and dashboard actions. The exam also tests knowledge of creating device-specific dashboards and stories.
- Topic 4: Understanding Tableau Concepts: Data Analysts are evaluated on their understanding of fundamental Tableau concepts in this domain. It covers the distinctions between dimensions and measures, discrete and continuous fields, and their implications in visualizations. Candidates should comprehend how discrete and continuous fields are displayed differently and the impact of using discrete date parts versus continuous date values. The exam also tests knowledge of aggregations, including the default aggregation for measures and how aggregated measures change when dimensions are added to a view.
Free Tableau TDS-C01 Exam Actual Questions
Note: Premium Questions for TDS-C01 were last updated On Apr. 27, 2025 (see below)
Broadly speaking, after an importing a dataset in Tableau Desktop, all fields in it are broken down into _______________________
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.
Further,
What is created by a calculated field that has a formula of SUM(Sales)/SUM(Profit)?
a calculated field that has a formula of SUM(Sales)/SUM(Profit) is a measure, because it returns a numeric value that can be aggregated and used for analysis. A parameter is a user-defined variable that can be used in calculations or filters. A dimension is a categorical field that can be used to group or slice data. A set is a subset of data based on some condition.
What allows you to drill up or down in the level of detail (LOD)?
Hierarchies in Tableau allow users to drill up and down to explore data at different levels of detail. By setting up a hierarchy, users can navigate through levels of the hierarchy to analyze data at each level, from the highest summary down to the finest detail.
Which of the following are true about Dashboards in Tableau?
From the official Tableaudocumentation:
As we can see below, Bar charts can be used as a floating object.
Which three statements accurately describe continuous fields? Choose three.
Continuous fields in Tableau have specific characteristics:
A . Continuous fields appear as green pills:
Continuous fields in Tableau are represented as green pills in the view. This indicates that they are treated as a continuous range of values rather than discrete categories.
B . Continuous fields are numeric:
Continuous fields typically consist of numeric data that can take any value within a range. They are used to measure and compare data values.
C . The values in continuous fields are treated as an infinite range:
Continuous fields are treated as an infinite range, allowing for detailed and granular analysis of data. Unlike discrete fields, which are considered distinct and separate, continuous fields are seen as a seamless continuum.
Incorrect options:
D . Continuous fields are categorical: This is incorrect because categorical fields are discrete, not continuous.
E . Only measures can appear as continuous: This is incorrect because dimensions can also be treated as continuous in certain contexts.
Tableau's official documentation on continuous and discrete fields: Continuous and Discrete
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