Die Schulungsunterlagen zur Salesforce Analytics-101 Zertifizierungsprüfung bestehen aus Testfragen sowie Antworten, die von den erfahrenen IT-Experten aus Pass4Test durch ihre Praxis und Erforschungen entworfen werden. Die Schulungsunterlagen zur Salesforce Analytics-101 Zertifizierungsprüfung sind zur Zeit die genaueste auf dem Markt. Sie können die Demo auf der Webseite Pass4Test.de herunterladen. Sie werden Ihr Helfer sein, während Sie sich auf die Salesforce Analytics-101 Zertifizierungsprüfung vorbereiten.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring and Analyzing Data | 37% | - Sort, group, and summarize data - Create and customize visualizations - Use filters, parameters, and sets - Apply calculations and aggregations - Create interactive dashboards and stories |
| Topic 2: Understanding Tableau Concepts | 15% | - Dimensions vs measures - Visualization best practices - Workbook, worksheet, and dashboard structure - Data types and roles |
| Topic 3: Sharing Insights | 25% | - Publish and share workbooks - Ensure accessibility and clarity - Export and publish visualizations - Set permissions and access |
| Topic 4: Connecting to and Preparing Data | 23% | - Connect to various data sources - Data cleaning and transformation - Manage data fields and hierarchies - Join and union data |
Die Zertifizierung der Salesforce Analytics-101 zu erwerben bedeutet mehr Möglichkeiten in der IT-Branche. Wir Pass4Test haben schon reichliche Erfahrungen von der Entwicklung der Salesforce Analytics-101 Prüfungssoftware. Unsere Technik-Gruppe verbessert beständig die Prüfungsunterlagen, um die Benutzer der Salesforce Analytics-101 Prüfungssoftware immer leichter die Prüfung bestehen zu lassen.
25. Frage
Which two types of fields appear blue?
Antwort: B,D
Begründung:
In Tableau, blue identifies discrete fields, regardless of whether the field is classified as a dimension or a measure. Therefore, both Discrete dimensions and Discrete measures appear blue, making B and C correct.
Tableau separates two different field characteristics. The first is the semantic role: dimension or measure. The second is the behavioral classification: discrete or continuous. These concepts are related but not equivalent.
A discrete field contains distinct values and normally creates headers when added to Rows or Columns.
Tableau represents the pill in blue. Most dimensions are discrete by default, so blue dimensions are common.
Measures are generally continuous, but a measure can be converted to discrete; once it is discrete, its pill also becomes blue. Continuous fields appear green. Continuous dimensions-most commonly continuous date dimensions-and continuous measures therefore use green pills and typically create axes rather than headers.
Tableau's official Dimensions and Measures documentation explicitly presents four valid combinations:
discrete dimensions, continuous dimensions, discrete measures, and continuous measures. It shows discrete dimensions and discrete measures as blue, while both continuous forms are green. This distinction is foundational to predicting how Tableau will structure a visualization.
26. Frage
Which aggregation is available without requiring a table calculation or calculated field?
Antwort: B
Begründung:
Standard deviation is available as a native aggregation for a measure and does not require the author to create either a table calculation or a calculated field. Therefore, C is correct. When a measure is used in a Tableau view, its aggregation can be changed through the field menu. In addition to commonly used functions such as SUM, AVG, MIN, MAX, and COUNT, Tableau provides Standard Deviation and Standard Deviation (Population) as built-in aggregation choices. The calculation is performed directly over the records contributing to the current mark. Running Total and Percent of Total are different because they are table calculations. They operate on already aggregated values after Tableau has constructed the visualization and depend on the addressing and partitioning of the view. Sample covariance is supported through calculation functionality such as covariance functions but is not presented as the equivalent direct aggregation option in the basic measure aggregation menu represented by this question. Implementing covariance typically involves specifying the two expressions whose covariance is required. Tableau's official Data Aggregation documentation explicitly lists standard deviation among the aggregations available for measures, including sample and population forms. Consequently, it can be selected directly without constructing an additional calculated field or applying a quick table calculation.
27. Frage
A Tableau associate wants to assign the Latitude geographic role to a field.
What should be the data type and the data role of the field?
Choose two options.
Antwort: A,B
Begründung:
For a standard custom latitude field, Tableau recommends a Number (decimal) data type and a Measure data role. Therefore, A and B are correct. Latitude represents a numeric coordinate, including fractional values such as 40.7128, so Number (decimal) is the appropriate data type. Treating latitude as a measure enables Tableau to position coordinate values continuously on an axis rather than interpreting each coordinate as an independent categorical member. Tableau's official mapping guidance states that, in most cases, latitude and longitude fields should have a data type of Number (decimal), a data role of Measure, and the corresponding Latitude or Longitude geographic role. When used in a map, Longitude is normally placed on Columns and Latitude on Rows as continuous measures. This differs from geographic fields such as Country, State, or City, which are usually string dimensions. Although specialized mapping scenarios can convert latitude or longitude to dimensions, that is not the standard configuration addressed by this question. The official Tableau mapping documentation explicitly specifies the Number (decimal) + Measure configuration for latitude and longitude fields when preparing geographic data for mapping.
28. Frage
Which string function returns a Boolean value as a result?
Antwort: C
Begründung:
STARTSWITH is the function that returns a Boolean result, so D is correct. The function evaluates whether one string begins with a specified substring. Its conceptual syntax is STARTSWITH(string, substring). If the original string begins with that substring, Tableau evaluates the expression as TRUE; otherwise, it evaluates as FALSE. For example, STARTSWITH([Customer Name], "A") returns TRUE for values beginning with A and FALSE for other values. Because the output is Boolean, STARTSWITH is particularly useful in calculated fields, conditional expressions, filters, classifications, and data-quality logic. The other listed functions return different data types. CHAR converts a numeric character code to its corresponding character and therefore returns a string. FIND searches for the position of a substring and returns a numeric position.
UPPER converts the supplied text to uppercase and returns another string. Consequently, only STARTSWITH directly produces the TRUE/FALSE result required by the question. This distinction is fundamental when selecting functions for Boolean calculations because Tableau evaluates Boolean fields differently from numeric and string-returning expressions.
29. Frage
A Tableau associate is creating a combined axis chart.
Where should the associate drag the second measure after dragging the first measure to the Rows shelf?
Antwort: C
Begründung:
Because the first measure is on the Rows shelf, Tableau creates a vertical quantitative axis in the visualization. To construct a combined axis, the associate should drag the second measure directly onto that existing vertical axis, making B correct. A combined axis allows multiple measures to share the same axis instead of displaying them in separate panes or on independent dual axes. When the second measure is dragged onto the existing axis and Tableau displays the appropriate drop indicator, Tableau creates a shared Measure Values-based view containing both measures. The orientation matters. Fields on Rows normally produce a vertical y-axis, whereas fields on Columns normally generate a horizontal x-axis. Consequently, because the first measure was specifically placed on Rows, the target is the vertical axis rather than the horizontal axis. Dropping the second measure on the Marks card would encode that field through a mark property rather than create a combined quantitative axis. Dropping it on Filters would restrict records or values and would not combine the measures. This mechanism should also be distinguished from a dual-axis chart, where two independent axes are layered. A combined axis instead places multiple measures on a shared axis and commonly uses Measure Names and Measure Values for differentiation.
30. Frage
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Die Fragenkataloge von Pass4Test enthalten die Lernmaterialien und Simulationsfragen zur Salesforce Analytics-101 Zertifizierungsprüfung. Noch wichtiger bieten wir die originalen Analytics-101 Fragen Und Antworten.
Analytics-101 Schulungsunterlagen: https://www.pass4test.de/Analytics-101.html