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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Tableau Data Analyst |
| Exam Number: | Analytics-DA-201 |
| Exam Format: | Multiple choice, Scenario-based, Drag-and-drop, Hotspot |
| Real Exam Qty: | 170-175 |
| Passing Score: | 65% |
| Exam Price: | US$200 |
| Exam Duration: | 105 minutes |
| Certificate Validity Period: | 2 years |
| Available Languages: | Simplified Chinese, Korean, Japanese, English |
| Recommended Training: | Trailhead: Tableau Data Analyst Certification Prep |
| Exam Registration: | Salesforce Certification Registration |
| Sample Questions: | Salesforce Analytics-DA-201 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No prerequisites required |
| Official Syllabus URL: | https://help.salesforce.com/s/articleView?id=005298984&type=1 |
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NEW QUESTION # 110
A Data Analyst creates the following story that contains two story points.
The analyst wants to change the story point format to show the current story point number out of the total number of story points.
Which Layout option should the analyst use?
Answer: B
NEW QUESTION # 111
A Data Analyst has the following two tables named Orders and Returns.
The analyst needs to get the Customer ID and Customer Name for only the orders that were returned. Orders will be the leading table.
Which type of join should the analyst perform in Tableau Prep?
Answer: A
NEW QUESTION # 112
You have the following line chart that shows the average sales by month.
Which month had the biggest increase in swage sales compared to me previous month in 2019?
Answer: C
Explanation:
Based on the line chart provided, each point on the line chart represents the average sales for a given month, and the percentage values indicate the change in average sales compared to the previous month. The month of November shows a significant increase from the month of October, indicated by a large upward spike on the chart and a high percentage increase.
NEW QUESTION # 113
You have the following dataset.
When you use the dataset in a worksheet, you want Sales to appear automatically as shown in the following table.
What should you do?
Answer: B
Explanation:
To make Sales appear automatically as shown in the second table, you should change the default number format of the Sales field. The default number format is how Tableau displays a field when you drag it to a worksheet. You can change the default number format by right-clicking on the field and selecting Default Properties > Number Format from the menu. This will open a dialog box where you can choose a category, such as Currency or Percentage, and customize the options, such as decimal places or prefixes.
In this case, you want to change the default number format of Sales to Currency with zero decimal places and a custom prefix of "S". This will make Sales appear as "S" followed by the rounded value in thousands.
The other options are not correct for this scenario. Changing the data type of Sales to String will not affect how it appears on a worksheet. Creating a calculated field that uses a formula will not change the default number format of Sales, but create a new field that you have to drag to a worksheet. Converting Sales to Attribute will return only one value for each partition of data, which will not show any variation over time.
References: https://help.tableau.com/current/pro/desktop/en-us/formatting.htm https://help.tableau.com/current
/pro/desktop/en-us/formatting_change_default.htm
To achieve the formatting as shown in the example, where sales figures are displayed with a "K" to represent thousands and rounded to the nearest thousand (e.g., $20K, $44K, etc.), you would need to adjust the default number format of the Sales field in Tableau. By changing the default number format, every instance where the Sales field is used would automatically reflect this new formatting. This is more efficient than creating a calculated field as it preserves the numeric nature of the field, allowing for further numerical operations and aggregations.
NEW QUESTION # 114
Which function should a Data Analyst use to aggregate total regional sales for a dataset regardless of what is in the view?
Answer: D
Explanation:
FIXED is the Level of Detail scoping keyword designed to compute an aggregation using explicitly specified dimensions without reference to the dimensions currently present in the view. For regional totals, an expression such as {FIXED [Region] : SUM([Sales] )} calculates sales at the Region level even when the visualization includes additional dimensions such as State or Customer. INCLUDE adds a dimension to the view's level of detail, while EXCLUDE removes specified view dimensions; both therefore depend on the view context. SUM by itself is a standard aggregate and operates at the current visualization level of detail.
Because the requirement states that total regional sales must be calculated regardless of what is in the view, FIXED provides the necessary view-independent level of detail.
NEW QUESTION # 115
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