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Topics of Tableau Desktop-Specialist: Tableau Desktop Specialist Exam

Candidates must know the exam topics before they start preparation. Because it will help them to hit the core. Tableau Desktop Specialist exam tests will include the following topics:1 Design for Organizational Complexity

  • Determine a solution design to meet performance objectives
  • Determine which controls to design and implement that will ensure cost optimization
  • Determine security requirements and controls when designing and implementing a solution
  • Determine a strategy to improve an existing solution for operational excellence
  • Select existing workloads and processes for a potential migration to the cloud
  • Troubleshoot solution architectures
  • Identify opportunities to reduce cost in an existing solution5 Continuous Improvement for Existing Solutions
  • Determine how to design networks for complex organizations (for example, an organization with varying compliance requirements, multiple business units, and varying scalability requirements)
  • Determine how to improve the deployment of an existing solution
  • Determine how to design a multi-account Tableau environment for complex organizations (for example, an organization with varying compliance requirements, multiple business units, and varying scalability requirements)2 Design for New Solutions
  • Determine a strategy to improve the performance of an existing solution
  • Determine a deployment strategy to meet business requirements when designing and implementing a solution3 Migration Planning
  • Determine a strategy for migrating existing on-premises workloads to the cloud4 Cost Control
  • Select migration tools and/or services for new and migrated solutions based on detailed Tableau knowledge
  • Select a cost-effective pricing model for a solution
  • Determine a strategy to improve the reliability of an existing solution

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Tableau Desktop-Specialist Exam Syllabus Topics:

Topic Details
Topic 1
  • Create a map using geographic data
  • Explain the differences between using live
  • Create a live connection to a data source

Topic 2
  • Skills MeasuredUnderstanding Tableau Concepts
  • Explain the difference between discrete date

Topic 3
  • Explain what kind of information measures usually contain
  • Connecting to & Preparing Data

Topic 4
  • Create a story using dashboards or views
  • Assign an alias to a data value

Topic 5
  • Add a manual or a computed sort
  • Dimensions and measures
  • Create a scatterplot
  • Create basic charts


Tableau Desktop Specialist Exam Sample Questions (Q69-Q74):

NEW QUESTION # 69
Which of the following charts types always includes bars sorted in descending order?

  • A. Stacked Bar Chart
  • B. Gantt Chart
  • C. Pie Chart
  • D. Pareto Chart

Answer: D Explanation:
Explanation
A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the ascending cumulative total is represented by the line.
On the primary axis, bars are used to show the raw quantities for each dimension member, sorted in descending order.
On the secondary axis, a line graph is used to show the cumulative total in percent format.

NEW QUESTION # 70
Which of the following are valid ways of Grouping Data?

  • A. Using Marks in the view
  • B. From the Analytics Pane
  • C. Using Labels in the View
  • D. From the Dimensions Shelf

Answer: A,C,D Explanation:
Explanation
IMPORTANT QUESTION AND EXPLANATION, PLEASE READ
3 ways to group data -
1) Marks
2) Labels
3) Dimensions shelf.
IMPORTANT
If we Group the data by selecting the marks, then they remain separate marks in the view and then have the same colour. Also, a new group is created in the Dimensions shelf. Example - Using the sample superstore dataset, first plot a bar chart showing sales for each sub-category:

Here, if we Select Phones, Chairs and Storage by selecting the MARKS (Bars), and then group them:

They remain seperate marks (BARS) but are grouped by the same colour.
Now, if we didn't do this, and rather grouped by selecting their Labels (Names):

Then they no longer remain separate Marks (bars) but are rather consolidated into a single Bar:

Finally, we can group directly from the Dimensions shelf as follows:

Now choose Phones, Chairs and Storage and Click Group:

You will now automatically have a new Dimension as follows:

NEW QUESTION # 71
When is an axis created for the visualisation in Tableau?

  • A. When we drag a dimension to the row/column shelf
  • B. When we drag a discrete field to the row/column shelf
  • C. When we drag a measure to the row/column shelf
  • D. When we drag a continuous field to the row/column shelf

Answer: D Explanation:
Explanation
An Individual Axis in Tableau is obtained by adding a continuous into Rows or Columns Shelf.
Example:
In order to show Individual Axis in Tableau First, we drag and drop the Color from Dimension shelf to Column Shelf. Next, we drag and drop the Sales Amount from measures shelf to Rows Shelf. Since it is a continuous value, the Sales Amount will be aggregated to default Sum. Once you drag them, following Chart report will be generated.

Next, we drag and Drop one more measure value, i.e., Total Product Cost from Measures Region to Rows Shelf. Because it is a Measure value, Total Product Cost is aggregated to default Sum. From the below screenshot, you can observe that Tableau has created an individual axis for each measure (continuous field).

NEW QUESTION # 72
_____________ is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields.

  • A. Tableau Workbook (.twb)
  • B. Tableau Packaged Workbook (.twbx)
  • C. Tableau Data Extract (.tde)
  • D. Tableau Data Source (.tds)

Answer: C Explanation:
Explanation
Tableau Data Extract (TDE) is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields. Performance is optimised because it queries its own database engine instead of the local data source.
When you create an extract of your data, you can reduce the total amount of data by using filters and configuring other limits. After you create an extract, you can refresh it with data from the original data. When refreshing the data, you have the option to either do a full refresh, which replaces all of the contents in the extract, or you can do an incremental refresh, which only adds rows that are new since the previous refresh.
Extracts are advantageous for several reasons:
1) Supports large data sets: You can create extracts that contain billions of rows of data.
2) Fast to create: If you're working with large data sets, creating and working with extracts can be faster than working with the original data.
3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.
4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that's not available or supported by the original data, such as the ability to compute Count Distinct.
5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.
NEW QUESTION # 73
Skipped Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?
Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?

  • A. 336,908
  • B. 416,702
  • C. 592,593
  • D. 293,202

Answer: B Explanation:
Explanation
Since you need BOTH State and the YEAR, we need to use an Inner Join.
Follow the steps below:
NEW QUESTION # 74
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