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NEW QUESTION 42
Is it possible to use measures in the same view multiple times (e.g. SUM of the measure and AVG of the measure)?
- A. Yes
- B. No
Answer: A
Explanation:
Explanation
Yes, it is very much possible to use measures in the same view multiple times. For example, refer to the image below:
We are using BOTH the Sum of the revenue and the of the revenue in the same view!
NEW QUESTION 43
Which of the following is a compelling reason to export a sheet in Tableau to a PDF?
- A. If we want to use filters in the visualisation.
- B. If we want to interact with the visualisation.
- C. If we want a static view of the visualisation.
- D. If we want to dynamically enter parameters to the visualisation.
Answer: C
Explanation:
Explanation
Exporting the visualisation gives us a static view of the visualisation.
It is NOT possible to interact with it, use filters, or dynamically enter anything in a visualisation exported PDF.
In Tableau Desktop, you can save views as PDF files rather than printing them as hard copies. You do not need to have Adobe Acrobat installed on your computer.
When you print an individual sheet to PDF, filters in the view are not included. To show filters, create a dashboard containing the sheet and export the dashboard to PDF. (IMPORTANT)
NEW QUESTION 44
True or False: We can disaggregate the data, to see all of the marks in the view at the most detailed level of granularity
- A. True
- B. False
Answer: A
Explanation:
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 45
______________ refers to the level of detail for a piece of data, wherever you are looking.
- A. Data Cleanliness
- B. Data granularity
- C. Data connectivity
- D. Data LOD
Answer: B
Explanation:
Data is generated and analyzed at many different levels of granularity. Granularity is the level of detail of the data. For example, when looking at graduation data, granularity would describe whether a row in the data set represents a single person or the graduating class of a university.
NEW QUESTION 46
In which of the following scenarios would having a live connection be more beneficial than using an extract?
- A. Analyzing real time data from production systems
- B. Analyzing a subset of a dataset having 1 billion rows
- C. Analyzing historical housing prices
- D. Analyzing and tracking real time flight updates
- E. Analyzing real time stock prices
Answer: A,D,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 47
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