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NEW QUESTION 52
Download the Dataset from: https://drive.google.com/file/d/12AYHfiPWkwBmvH0zbumOURgUX6Az00Rw/view?usp=sharing Using the Time Series Table, create a line chart to show Sales over time. Which Month and Year witnessed the lowest Sales?
Answer: A
Explanation:
Follow the steps to get the correct answer : January 2018
We are talking about dates, so use the Time series sheet as follows:
Next, the following should be your view and clearly, January 2018 is the lowest point:
Read more about dates: https://interworks.com/blog/rcurtis/2017/01/30/tableau-deep-dive-dates-introduction-dates/
NEW QUESTION 53
_____________ is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields.
Answer: B
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 54
How does Tableau know at which level to aggregate values?
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 55
________________ is hosted by Tableau to share our visualisations publically with the world.
Answer: B
Explanation:
Tableau Public is a free service that lets anyone publish interactive data visualizations to the web. Visualizations that have been published to Tableau Public ("vizzes") can be embedded into web pages and blogs, they can be shared via social media or email, and they can be made available for download to other users.
Check it out : https://public.tableau.com/en-us/s/
NEW QUESTION 56
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