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| Section | Weight | Objectives |
|---|
| Understanding Tableau Concepts | 15% | - Data types and roles - Tableau file types and structure - Dimensions vs Measures, Discrete vs Continuous
|
| Sharing Insights & Building Dashboards | 25% | - Publish and share content
- 1. Publish to Tableau Server / Online / Public
- 2. Export: image, PDF, PowerPoint
- Create stories
- 1. Combine visualizations into stories
- Build interactive dashboards
- 1. Design for different devices
- 2. Add sheets, filters, actions, parameters
|
| Exploring & Analyzing Data | 35% | - Use filters, sets, groups
- 1. Filter by dimension, measure, date, context
- 2. Create and use sets and groups
- Create calculations
- 1. Level of Detail (LOD) expressions
- 2. Basic calculations: string, date, math, logic
- Create basic visualizations
- 1. Charts: bar, line, scatter, map, dual-axis
- 2. Tables: crosstab, highlight table
|
| Connecting to & Preparing Data | 25% | - Prepare and transform data
- 1. Combine data with joins, unions, blends
- 2. Customize fields: type, alias, discrete/continuous
- 3. Shape data: filter, group, aggregate
- Connect to data sources
- 1. Use Data Interpreter, pivot, split
- 2. Save and use .TDS files
- 3. Live connections and extracts
|
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Tableau Desktop Specialist Sample Questions (Q134-Q139):
NEW QUESTION # 134
Which of the following calculations DO NOT need a quick table calculation?
- A. Rank
- B. Variance
- C. Standard Deviation
- D. Moving Average
Answer: B
Explanation:
For Standard Deviation and Variance, we don't need to use quick table calculations, since they are available by default. See below:

However, as seen in the types of quick table calculations available in Tableau, Rank and Moving Average belong to only this category.

NEW QUESTION # 135
True or False: You get different filtering options for categorical and quantitative data
Answer: A
Explanation:
Yes! We get different options for filtering depending on whether we use a categorical data (think dimension) or quantitative data (think measure).

Important Note: Each tab adds additional definitions to your filter. For example, you can select to exclude values under the General tab, and also add limits under the Top tab. Selections and configurations from both tabs are applied to your filter.At any time, you can see the definitions of your filter under Summary on the General tab.

Note: If you have a large data source, filtering measures can lead to a significant degradation in performance.
It is sometimes much more efficient to filter by creating a set containing the measure and then apply a filter to the set. For more information about creating sets, see Create Sets
NEW QUESTION # 136
When creating an extract, what are three options for specifying how much data to extract? Choose three.
- A. Apply a filter.
- B. Append Data from Files
- C. Compute Calculations Now.
- D. Aggregate data for visible dimensions
- E. Hide all unused fields.
Answer: A,D,E
Explanation:
When creating an extract in Tableau, there are several options to control how much data is included in the extract. These options include hiding all unused fields to reduce the size of the extract, aggregating the data for visible dimensions to summarize it, and applying filters to extract only the data that meets certain criteria.
NEW QUESTION # 137
When field names in the Union do not match, then:
- A. Both field names are present in the Union, but contain several null
- B. An error is raised and both fields are dropped from the resulting Union
- C. Only one field name is present in the Union with correct values since Tableau automatically corrects field name mismatch
- D. Only one field name is present in the Union with null values
Answer: A
Explanation:
values
Explanation:
By default, both field names are present in the Union, but contain several null values!
When field names in the union do not match, fields in the union contain null values. You can merge the non-matching fields into a single field using the merge option to remove the null values. When you use the merge option, the original fields are replaced by a new field that displays the first non-null value for each row in the non-matching fields.
You can also create your own calculation or, if possible, modify the underlying data to combine the non-matching fields.
For example, suppose you have the following customer purchase information stored in three tables, separated by month. The table names are "May2016," "June2016," and "July2016."

A union of these tables creates the following single table that contains all rows from all tables.

Now suppose a fourth table, "August2016", is added to the underlying data. Instead of the standard "Customer" field name, it contains an abbreviated version called "Cust."


NEW QUESTION # 138
Dimensions containing ____________ and ____________ values cannot be continuous.
- A. Boolean
- B. Date and Time
- C. String
- D. Date
Answer: A,C
Explanation:
According to Tableau's official documentation -

NEW QUESTION # 139
......
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