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| Certification Vendor: | Tableau |
|---|---|
| Exam Name: | Tableau Desktop Specialist |
| Exam Number: | TDS-C01 |
| Related Certifications: | Tableau Certified Data Analyst |
| Certificate Validity Period: | Does not expire |
| Passing Score: | 750/1000 |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 45 |
| Exam Price: | $100 USD |
| Available Languages: | English |
| Exam Format: | True/False, Multiple Response, Multiple Choice |
| Sample Questions: | Tableau TDS-C01 Sample Questions |
| Exam Way: | Online proctored exam through Pearson VUE. |
| Pre Condition: | No prerequisites. Tableau recommends at least 3 months of hands-on experience with Tableau Desktop. |
| Official Syllabus URL: | https://www.tableau.com/learn/certification |
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Tableau Desktop Specialist Certification Exam is a comprehensive exam that covers a wide range of topics related to Tableau Desktop. TDS-C01 exam tests a user's ability to navigate the tool, create visualizations, analyze data, and share insights. TDS-C01 Exam is designed to be challenging and requires a significant amount of preparation before taking it.
NEW QUESTION # 70
You have a workbook that contains one data source and you need to combine data from another database.
What should you do first?
Answer: C
NEW QUESTION # 71
Larger image
What is this view referred to as in Tableau?
Answer: A
Explanation:
Explanation
Tableau displays data source connections and data fields for the workbook in the Data pane on the left side of the workspace.
The Data pane includes:
Dimension fields - Fields that contain qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data. Dimensions affect the level of detail in the view. Examples of dimensions include dates, customer names, and customer segments.
Measure fields - Fields that contain numeric, quantitative values can be measured. You can apply calculations to them and aggregate them. When you drag a measure into the view, Tableau applies an aggregation to that measure (by default). Examples of measures: sales, profit, number of employees, temperature, frequency.
For more information on what dimensions and measures are, see Dimensions and Measures, Blue and Green.
Calculated fields - If your underlying data doesn't include all of the fields you need to answer your questions, you can create new fields in Tableau using calculations and then save them as part of your data source. These fields are called calculated fields.
For more information on calculated fields, see Create Custom Fields with Calculations.
Sets - Subsets of data that you define. Sets are custom fields based on existing dimensions and criteria that you specify. For more information, see Create Sets.
Named sets from an MS Analysis Services server or from a Teradata OLAP connector also appear in Tableau in this area of the Data pane. You can interact with these named sets in the same way you interact with other custom sets in Tableau.
Parameters - Values that can be used as placeholders in formulas, or replace constant values in calculated fields and filters. For more information, see Create Parameters.
NEW QUESTION # 72
For a ____________ sort, no matter how the data changes, the values will always stay in the sort order we kept stuff in.
Answer: B
Explanation:
For a manual sort, no matter how the data changes, the values will always stay in the sort order you kept stuff in.
From the official website:
NEW QUESTION # 73
Using the Geo Data table, create a Bar chart showing the In-Stock percentage for each Color. What is the Average In-Stock percentage for the Color Red? Present your answer correctly upto 2 decimal places.
Answer: B
Explanation:
Not too tough. Follow along the steps:
Drag Color to Filter and choose Red:
3) Now to display the percentage correctly, lets format it. Click on the In Stock % pill in the Row shelf, and select format:
And your final view will look like :
NEW QUESTION # 74
You may create a context filter to:
Answer: A,B
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 # 75
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