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Salesforce Analytics-DA-201 Exam Syllabus Topics:

Topic	Details
Topic 1	Connect To and Transform Data: This domain focuses on connecting to various data sources such as files, databases, and published sources, while deciding between live and extract connections. It also covers preparing, cleaning, transforming, and organizing data using Tableau features and Tableau Prep to ensure it is ready for accurate analysis.
Topic 2	Explore and Analyze Data: This section covers creating calculations, applying filters, parameters, and structuring data to explore insights effectively. It also includes advanced analysis techniques such as table calculations, LOD expressions, forecasting, and geographic mapping to derive meaningful patterns and trends.
Topic 3	Create Content: This domain involves building visualizations like charts, dashboards, and stories to present data insights clearly. It also focuses on adding interactivity, formatting, and designing responsive dashboards to enhance user experience and data communication.
Topic 4	Publish and Manage Content on Tableau Server and Tableau Cloud: This section covers publishing workbooks, data sources, and flows to Tableau Server or Cloud for sharing and collaboration. It also includes managing content through scheduling refreshes, setting permissions, and creating alerts, subscriptions, and custom views.

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Salesforce Certified Tableau Data Analyst Sample Questions (Q74-Q79):

NEW QUESTION # 74
A Data Analyst is creating a map that includes multiple data layers at country, state, and city levels. Users want to customize their map by turning layers on and off as needed.
How should the analyst provide this functionality?

A. Add a parameter to toggle layer visibility.
B. Use dual-axis maps to overlay different layers.
C. Use the Filter shelf to allow users to filter layers.
D. Enable the Layer Control in the Map Options.

Answer: D

Explanation:
Tableau ' s Layer Control is specifically designed for maps containing multiple geographic mark layers.
When enabled, it gives users an interactive panel from which individual map layers can be shown or hidden and interactions with particular layers can also be enabled or disabled. Tableau Desktop authors enable this feature through Map > Map Options > Layer Control before publishing the workbook. A parameter could theoretically drive custom calculations, but it is unnecessary because Tableau already supplies native layer- visibility controls. The Filter shelf filters underlying data values rather than directly controlling geographic mark-layer visibility. A dual-axis map is also unnecessary and is more limited than Tableau ' s current multi- layer mapping architecture. Therefore, C is the direct, officially supported method for allowing users to toggle map layers independently.

NEW QUESTION # 75
A Data Analyst has a data source that has two tables named Table1 and Table2. Table1 is the primary table and Table2 is the secondary table.
The analyst wants to combine the tables by using Tableau Prep. The combined table must include only values from Table1 that do not match any values in Table2. The field values from Table2 must appear as null values.
Which type of join should the analyst use?

A. Union
B. Left only
C. Full outer
D. Inner
E. Left

Answer: B

NEW QUESTION # 76
A Data Analyst has the following dataset in Microsoft Excel.

The analyst is using Data Interpreter to cleanse the dataset. Data Interpreter provides the following results.

How many rows of data will be ingested into Tableau as values?

A. 0
B. 1
C. 2
D. 3

Answer: A

NEW QUESTION # 77
A Data Analyst has a data source with row data for service calls and their activity log.

Which calculation allows the analyst to count the calls that have never had a technician assigned to them?

A. SUM({ FIXED [Call ID] : IF MAX([Activity Name] = " Assign Technician " ) THEN 0 ELSE 1 END
})
B. COUNT({ FIXED [Call ID] : IF [Activity Name] < > " Assign Technician " THEN 1 ELSE 0 END })
C. COUNTD(IF { INCLUDE [Activity Name] : NOT " Assign Technician " } THEN [Call ID] END)
D. SUM({ INCLUDE [Activity Name] : COUNT(IF [Activity Name] < > " Assign Technician " THEN 1 END) })

Answer: A

Explanation:
The required logic must first evaluate the activity history independently for each Call ID, which is why a FIXED LOD expression is appropriate. {FIXED [Call ID] : ...} establishes Call ID as the calculation grain regardless of the visualization's dimensions. Within each call, [Activity Name] = " Assign Technician " produces a Boolean condition. Applying MAX to that condition determines whether an assignment activity exists for that call. If one exists, the calculation returns 0; otherwise it returns 1. The outer SUM then totals the calls that never received an assignment. INCLUDE does not provide the required fixed call-level evaluation, while the other expressions either count activity records rather than calls or do not form valid LOD logic for the requirement. Therefore, A is correct.

NEW QUESTION # 78
A Data Analyst loads a dataset from Microsoft Excel. The following is a sample of the data.

FullName contains student names. Some names contain a first name and a last name. Some names contain a first name, a middle name, and a last name.
The analyst needs to divide FullName into three separate fields: one for the first name, one for the middle name, and one for the last name. The solution must minimize effort for the analyst.
What should the analyst do?

A. Use the Custom Split option and specify a space as the delimiter.
B. Use the Split option.
C. Use the Custom Split option for the first name and the last name and create a calculated field for the middle name.
D. Use Data Interpreter.

Answer: C

Explanation:
B is the verified answer; the selection shown in the candidate PDF is not reliable here. The difficulty is that FullName contains a variable number of space delimiters. A simple "split all" operation would produce First | Last for a two-part name but First | Middle | Last for a three-part name, so the second result column does not consistently represent the middle name. Tableau's Custom Split functionality allows splitting from the first or last occurrences of a delimiter. The analyst can therefore reliably extract the first and last names regardless of whether a middle name exists, and derive the middle component when present. Tableau's documentation notes that Custom Split provides control over first N, last N, or all occurrences and is useful when separator counts vary between records.

NEW QUESTION # 79
......

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