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Tableau TDS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Exploring & Analyzing Data	35%	- Create basic visualizations 1. Tables: crosstab, highlight table 2. Charts: bar, line, scatter, map, dual-axis - Create calculations 1. Level of Detail (LOD) expressions 2. Basic calculations: string, date, math, logic - Use filters, sets, groups 1. Filter by dimension, measure, date, context 2. Create and use sets and groups
Connecting to & Preparing Data	25%	- Prepare and transform data 1. Customize fields: type, alias, discrete/continuous 2. Combine data with joins, unions, blends 3. Shape data: filter, group, aggregate - Connect to data sources 1. Save and use .TDS files 2. Use Data Interpreter, pivot, split 3. Live connections and extracts
Understanding Tableau Concepts	15%	- Tableau file types and structure - Dimensions vs Measures, Discrete vs Continuous - Data types and roles
Sharing Insights & Building Dashboards	25%	- Publish and share content 1. Export: image, PDF, PowerPoint 2. Publish to Tableau Server / Online / Public - Create stories 1. Combine visualizations into stories - Build interactive dashboards 1. Add sheets, filters, actions, parameters 2. Design for different devices

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Tableau Desktop Specialist Sample Questions (Q85-Q90):

NEW QUESTION # 85
Which of the following is a good reason for using a bullet graph?

A. Forecasting future sales
B. Comparing the actual sales against the target sales
C. Displaying the year-on-year growth in sales
D. Analysing the trend over a given time period

Answer: B

Explanation:
A bullet graph is a variation of a bar graph developed to replace dashboard gauges and meters. A bullet graph is useful for comparing the performance of a primary measure to one or more other measures. Below is a single bullet graph showing how actual sales compared to estimated sales.

NEW QUESTION # 86
Which of the following is a benefit of using a Tableau Data Source (.tds)?

A. To create a single zip file that contains a workbook along with any supporting local file data and background images. This is great for sharing your work with others who don't have access to the original data.
B. To not contain the actual data but rather the information necessary to connect to the actual data as well as any modifications you've made on top of the actual data such as changing default properties, creating calculated fields etc
C. To create a local copy of a subset or entire data set that you can use to share data with others, when you need to work offline, and improve performance.
D. To hold one or more worksheets, plus zero or more dashboards and stories.

Answer: B

Explanation:
Explanation
The following are the official definitions from the Tableau documentation for the various file types:
1) .tds (Tableau Data Source) - To not contain the actual data but rather the information necessary to connect to the actual data as well as any modifications you've made on top of the actual data such as changing default properties, creating calculated fields etc. (CORRECT ANSWER)
2) .twbx ( Tableau packaged workbook) - To create a single zip file that contains a workbook along with any supporting local file data and background images. This is great for sharing your work with others who don't have access to the original data.
3) Extract (.hyper or .tde) - To create a local copy of a subset or entire data set that you can use to share data with others, when you need to work offline, and improve performance.
3) (.twb) Workbooks - To hold one or more worksheets, plus zero or more dashboards and stories.

NEW QUESTION # 87
How does Tableau know at which level to aggregate values?

A. Values are always aggregated at the level of granularity of the worksheet.
B. Values are always aggregated at the level of the Date Part
C. Tableau doesn't aggregate values, we do!
D. Aggregation is always done by using Tableau special formulas

Answer: A

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 # 88
You may create a context filter to:

A. To replace a data source filter
B. Improve performance
C. To create a dependent filter
D. Create a dependent numerical or top N filter

Answer: B,D

Explanation:
Important question! You cannot use a context filter to replace a data source filter since each filter type has its own use case. Also, a content filter is an Independent filter and all other filters are called dependent since they only process the data that passes through a context filter.
According to the official documentation :

NEW QUESTION # 89
Which of the following are valid Layout Container types when using Dashboards in Tableau?

A. Split Container
B. Vertical Container
C. Diagonal Container
D. Horizontal Container

Answer: B,D

Explanation:

NEW QUESTION # 90
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