Free Preparation Discussions
MENU
Tableau TDS-C01 Exam
- Topic 1: Change default properties for a data field/ Create a live connection to a data source
- Topic 2: Explain the difference between dimensions and measures/ Create a data source that uses multiple connections
- Topic 3: Describe how an aggregated measure changes when dimensions are added to a view/ Explain when to use a join versus a relationship
- Topic 4: Configure a dashboard layout and create device-specific dashboards/ Add relationships to a data source
- Topic 5: Create groups by using marks, headers, and the data pane/ Create a chart to show specific values
- Topic 6: Explain what kind of information measures usually contain/ Assign a geographic role to a data field
- Topic 7: Add interactive elements for consumers/ Explain the differences between using live connections versus extracts
- Topic 8: Change data type for a data field/ Create a map using geographic data
- Topic 9: Explain what kind of information dimensions usually contain/ Create sets by using marks and the data pane
- Topic 10: Explain the difference between discrete date parts and continuous date values/ Explain when to use a parameter
- Topic 11: Use color from the marks card/ Connecting to & Preparing Data/ Create live connections and extracts
- Topic 12: Explain how continuous fields are displayed/ Explain the default aggregation for measures
Free Tableau TDS-C01 Exam Actual Questions
The questions for TDS-C01 were last updated On Apr. 07, 2024
Which two elements can have their values changed by using a dashboard action? Choose two.
In Tableau, the two elements that can have their values changed by using a dashboard action are Sets and Parameters. Dashboard actions can be configured to modify the values within a set or a parameter, allowing for interactive and dynamic changes in the visualization based on user interactions. For example, selecting a specific data point in a dashboard can trigger an action that updates a set or changes the value of a parameter, which in turn can alter the displayed data or the appearance of visualizations within the dashboard.
You create a visualization by first adding a measure to rows. Next, you add a dimension wilh 11 members to columns.
Assuming that all the dimensions have a non-zero value, how many marks are in the view before and after the dimension is added?
In Tableau, when you initially add a measure to the rows shelf, you create one mark in the view that represents the aggregate value of that measure. When you then add a dimension with 11 members to the columns shelf, the view is subdivided into 11 separate marks, each representing the measure for one of the dimension members. This results in a total of 11 marks in the view after the dimension is added, one for each member of the dimension.
You need to invert the color intensity of a quantitative range. Which option should you use?
To invert the color intensity of a quantitative range in Tableau, you should use the 'Reversed' option. This option inverts the color scheme so that the colors representing the higher values are swapped with those representing the lower values. For example, if a color scale initially shows dark colors for high values and light colors for low values, using 'Reversed' will switch this so that dark colors represent low values and light colors represent high values. This option is particularly useful for better visual distinction and interpretation in certain data scenarios.
You create a visualization by first adding a measure to rows. Next, you add a dimension wilh 11 members to columns.
Assuming that all the dimensions have a non-zero value, how many marks are in the view before and after the dimension is added?
In Tableau, when you initially add a measure to the rows shelf, you create one mark in the view that represents the aggregate value of that measure. When you then add a dimension with 11 members to the columns shelf, the view is subdivided into 11 separate marks, each representing the measure for one of the dimension members. This results in a total of 11 marks in the view after the dimension is added, one for each member of the dimension.
Which of the following is a discrete date part?
February is a discrete date part, because it is a specific value that can be used to group or filter data by month. 07Mar2017, 20Sep2016:9:8:8:6546, and 01/23/2021 are continuous date values, because they represent points along a continuous timeline that can be used for analysis.
- Select Question Types you want
- Set your Desired Pass Percentage
- Allocate Time (Hours : Minutes)
- Create Multiple Practice tests with Limited Questions
- Customer Support
Submit Cancel
Currently there are no comments in this discussion, be the first to comment!