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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Connecting to and Preparing Data | 23% | - Connect to Data Sources
|
| Topic 2: Exploring and Analyzing Data | 37% | - Analyze Data
|
| Topic 3: Sharing Insights | 25% | - Share Content
|
| Topic 4: Understanding Tableau Concepts | 15% | - Visualization Principles
|
>> TDS-C01 Exam Objectives Pdf <<
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NEW QUESTION # 117
You have the following visualization.
Where should you place a field named Region to show multiple distinct lines on the same axis?
Answer: B
Explanation:
To display multiple distinct lines on the same axis based on a field, you should place the field on the Color shelf in the Marks card. This will encode each distinct value in the Region field with a different color, resulting in separate lines for each region on the same axis.
NEW QUESTION # 118
What does it imply if a field has a blue background?
Answer: C
Explanation:
When you connect to a new data source, Tableau assigns each field in the data source as dimension or measure in the Data pane, depending on the type of data the field contains. You use these fields to build views of your data.
NEW QUESTION # 119
______________ is a method for appending values (rows) to tables. You can use this method if both tables have the same columns. The result is a virtual table that has the same columns but extends vertically by adding rows of data.
Answer: C
Explanation:
Unioning is the correct answer!
From the official documentation:
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."
NEW QUESTION # 120
You create a crosstab that shows a list of 100 hotel chains alongside their average nightly cost.
You also create two groups showing, respectively, the top 10 and bottom 10 hotel chains by cost, with subtotals.
What should you do to improve the crosstab and compare the two groups to all the remaining hotel chains?
Answer: A
NEW QUESTION # 121
True or False: Physical tables remain distinct (normalized), not merged in the data source whereas logical tables are merged into a single, flat table.
Answer: B
Explanation:
In fact, the opposite of this is true.
Trick : Whenever you think of joins -> Think that after the join is created, we get 1 single flat combined (joined) table. This flat combined table is created prior to us creating our visualizations. This happens at the physical layer.
If you ever think about relationships, know that all tables will remain distinct and separate, and relationships sit at the logical layer. At run time, when you bring in the dimensions and measures to create your viz, Tableau very smartly creates the necessary joins, relates the tables and sends queries to these tables to get the resultant data back in the most meaningful way possible. This allows you to focus on using your data and revealing insights from it and focus less on the data preparation aspect!
Refer to logical layer vs physical layer from the official
documentation: https://help.tableau.com/current/server/en-us/datasource_datamodel.htm
NEW QUESTION # 122
......
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