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Tableau TDS-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Exploring and Analyzing Data37%- Analyze Data
  • 1. Use groups and hierarchies
  • 2. Use trend lines and forecasting
  • 3. Create calculated fields
  • 4. Apply filters
- Build Visualizations
  • 1. Create charts and views
  • 2. Use dimensions and measures
  • 3. Work with discrete and continuous fields
Topic 2: Sharing Insights25%- Share Content
  • 1. Export views and workbooks
  • 2. Use Tableau Reader and PDF exports
  • 3. Publish and share visualizations
- Dashboards and Stories
  • 1. Add dashboard actions
  • 2. Format and organize dashboard layouts
  • 3. Create dashboards
Topic 3: Understanding Tableau Concepts15%- Visualization Principles
  • 1. Interpret visual analytics
  • 2. Choose appropriate chart types
  • 3. Understand Tableau terminology
- Core Tableau Concepts
  • 1. Dimensions and measures
  • 2. Aggregations
  • 3. Data types
  • 4. Marks card functionality
Topic 4: Connecting to and Preparing Data23%- Connect to Data Sources
  • 1. Identify connection types
  • 2. Connect to files and databases
  • 3. Use extracts and live connections
- Prepare Data
  • 1. Sort and organize data
  • 2. Data properties and metadata
  • 3. Data Interpreter

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Tableau Desktop Specialist Sample Questions (Q105-Q110):

NEW QUESTION # 105
True or False: We can disaggregate the data, to see all of the marks in the view at the most detailed level of granularity

Answer: A

Explanation:
Whenever you add a measure to your view, an aggregation is applied to that measure by default. This default is controlled by the Aggregate Measures setting in the Analysis menu.
If you decide you want to see all of the marks in the view at the most detailed level of granularity, you can disaggregate the view. Disaggregating your data means that Tableau will display a separate mark for every data value in every row of your data source.
To disaggregate all measures in the view:
Clear the Analysis >Aggregate Measures option. If it is already selected, click Aggregate Measures once to deselect it.


NEW QUESTION # 106
How does Tableau know at which level to aggregate values?

Answer: B

Explanation:
In Tableau, you can aggregate measures or dimensions, though it is more common to aggregate measures. Whenever you add a measure to your view, an aggregation is applied to that measure by default. The type of aggregation applied varies depending on the context of the view.
When you add a measure to the view, Tableau automatically aggregates its values. Sum, average, and median are common aggregations; for a complete list, see List of Predefined Aggregations in Tableau.
The current aggregation appears as part of the measure's name in the view. For example, Sales becomes SUM(Sales). Every measure has a default aggregation which is set by Tableau when you connect to a data source. You can view or change the default aggregation for a measure-see Set the Default Aggregation for a Measure.
You can change the aggregation for a measure in the view from its context menu:


NEW QUESTION # 107
You have the following visualization.

Which set type is created when you select the Create Set option?

Answer: B

Explanation:
When you use the 'Create Set' option in Tableau, it creates a dynamic set if the conditions for inclusion in the set are based on a calculation or an aggregation that may change as the data is updated or as filters are applied.
Fixed sets are static and do not change with data refreshes, while dynamic sets can update to reflect the current state of the data.


NEW QUESTION # 108
In which of the following scenarios would having a live connection be more beneficial than using an extract?

Answer: A,B,E

Explanation:
Extracts would be more beneficial for analyzing historical prices where we won't be making use of any real time data being streamed. Same is the case for enormous datasets having billions of rows (extracts will be more efficient in analyzing subsets of such large data).
As for live stock prices, flight updates, real time updates from production or mission critical systems - having a live connection is the most logical choice, since we need access to the most fresh and recent data possible at all times!


NEW QUESTION # 109
What does it imply if a field has a blue background?

Answer: A

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 # 110
......

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