Die Salesforce Analytics-101 Zertifizierungsprüfung ist eine der wertvollsten zeitgenössischen Zertifizierungsprüfung. In den letzten Jahrzehnten ist die Computer-Ausbildung schon ein Fokus geworden. Sie ist ein notwendiger Bestandteil der Informations-Technologie im IT-Bereich. So legen viele IT-fachleute diese Prüfung ab, um ihr Wissen zu erweitern und einen Durchbruch in allen Bereichen zu verschaffen. Und unsere Fragen und Antworten zur Salesforce Analytics-101 Zertifizierungsprüfung sind genau das, was sie brauchen. Dennoch ist es schwer, diesen Test zu bestehen. Wählen Sie die entsprechende Abkürzung, um Erfolg zu garantieren. Wählen Sie PrüfungFrage, kommt der Erfolg auf Sie zu. Die Fragen und Antworten zur Salesforce Analytics-101 Zerzifizierung von PrüfungFrage werden von den IT-Eliten nach ihren Erfahrungen und Praxien bearbeitet und haben die Zertifizierungserfahrung von mehr als zehn Jahren.
| Section | Weight | Objectives |
|---|---|---|
| Connecting to and Preparing Data | 23% | - Join and union data - Manage data fields and hierarchies - Data cleaning and transformation - Connect to various data sources |
| Understanding Tableau Concepts | 15% | - Workbook, worksheet, and dashboard structure - Dimensions vs measures - Visualization best practices - Data types and roles |
| Exploring and Analyzing Data | 37% | - Apply calculations and aggregations - Sort, group, and summarize data - Create interactive dashboards and stories - Create and customize visualizations - Use filters, parameters, and sets |
| Sharing Insights | 25% | - Ensure accessibility and clarity - Export and publish visualizations - Publish and share workbooks - Set permissions and access |
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14. Frage
From which three locations can a Tableau associate sort a visualization?
Choose three options.
Antwort: C,E,F
Begründung:
Tableau provides direct single-click sorting controls from a header, an axis, and a field label, making A, C, and D correct. Tableau's official Sort Data in a Visualization documentation explicitly identifies these three locations. When the user hovers over an appropriate header, numerical axis, or field label, Tableau can display a sort icon. One click typically applies descending sorting, a second click changes it to ascending, and another interaction can clear the sort depending on context. A header is commonly generated by a discrete field and can expose sorting for its members. A numerical axis allows the associated categorical members to be sorted according to measure values. A field label can similarly provide direct sorting when applicable to the view's structure. The Tooltip area of the Marks card controls information displayed when the pointer hovers over a mark; it is not a sorting interface. The Worksheet and Analysis menus contain numerous authoring commands but are not the three direct locations identified by Tableau's single-click sorting workflow in this question.
Official Tableau documentation specifically states: "Quickly sort from an axis, header, or field label," precisely matching A, C, and D.
15. Frage
A Tableau associate has a bar chart that has a dimension on the Columns shelf and a measure on the Rows shelf.
How can the associate make a stacked bar chart?
Antwort: B
Begründung:
To convert the existing bar chart into a stacked bar chart, the associate should drag another dimension to Color on the Marks card. The initial bar chart already contains a dimension on Columns and a measure on Rows. Adding another categorical dimension to Color partitions each bar according to the members of that second dimension. Tableau assigns a separate color to each resulting group and, because automatic stacking is enabled for bar marks by default, those groups are displayed cumulatively within each bar. For example, if Category is on Columns and SUM(Sales) is on Rows, adding Segment to Color divides each Category bar into Consumer, Corporate, and Home Office segments while preserving the bar's total Sales magnitude.
Dragging another dimension to Size changes the visual size encoding rather than creating standard stacked segments. Adding another measure to Rows typically introduces an additional axis or measure structure. A measure placed on Color generally creates a quantitative gradient rather than categorical stacked segments.
Tableau's official Stack Marks documentation describes this exact construction: a dimension on Columns, a measure on Rows, and another dimension used to color-encode the marks.
16. Frage
Which chart type uses automatically generated sizes that cannot be resized by using the Marks card?
Antwort: D
Begründung:
The correct answer is Treemaps. A treemap represents data as a set of rectangles. Tableau uses one or more dimensions to define the rectangular structure, while a measure placed on Size determines each rectangle's relative area. Tableau automatically lays out the rectangles to use the available visualization space efficiently.
The analyst therefore controls relative size through the measure encoded on Size rather than manually resizing the generated rectangles with the ordinary Marks card size slider. For example, if Sub-Category defines the rectangles and Sales is placed on Size, categories with larger aggregated Sales values receive proportionally larger rectangles. Changing the Sales values or replacing the field on Size changes the relative areas, while Tableau recalculates the layout automatically. Pie charts have mark-size controls and can be resized through the Marks card. Area charts derive their visual area from their axes and underlying measures. Histograms use bars representing bins and frequencies and have different bar-sizing behavior. Tableau's official Treemap documentation identifies Size and Color as the crucial encodings and explains that a measure on Size determines the areas of the rectangles. The resulting treemap geometry is automatically laid out according to those values rather than manually sized mark by mark.
17. Frage
Which type of chart can a Tableau associate create without using a dimension?
Antwort: A
Begründung:
A basic bar chart can be created from a measure without requiring a dimension, making A correct. Tableau can construct an initial visualization automatically when a field is double-clicked in the Data pane. Official Tableau documentation demonstrates that double-clicking a quantitative measure such as Profit automatically adds it to the view and creates a bar chart. At this stage, no dimension is required; Tableau displays the aggregated value of the measure as a single bar. The remaining visualization types fundamentally depend on categorical partitioning. A highlight table uses dimensions to establish the table's row and column structure and measures to encode values through color or text. A treemap normally requires one or more dimensions to define individual rectangles, with measures controlling properties such as size and color. A stacked bar requires a categorical field to partition a bar into multiple stacked segments. A dimension can certainly be added later to a basic bar chart-for example, Category on Columns and Sales on Rows-to produce multiple bars. However, the question asks which visualization can be created without a dimension. Tableau's official field-dragging documentation specifically demonstrates that double-clicking a measure alone produces an automatic bar chart.
18. Frage
What are two outcomes when a Tableau associate drags a continuous date value to the Rows shelf?
Antwort: B,C
Begründung:
A continuous date field produces a green pill and generates an axis, making B and C correct. Tableau uses color as an immediate visual cue for discrete versus continuous fields. Green pills represent continuous fields, whereas blue pills represent discrete fields. A date can function in either form. When the analyst chooses a continuous date value such as continuous Month or continuous Year, Tableau represents the field as an unbroken temporal range rather than a finite collection of date-part headers. When this continuous date is placed on the Rows shelf, Tableau generates a continuous axis corresponding to the selected temporal granularity. The axis behaves similarly to other continuous quantitative axes in the sense that values occupy positions along an uninterrupted scale. Option A instead characterizes a discrete date part, such as discrete Month, where Tableau creates categorical headers or labels like January, February, and March. Option D is likewise associated with discrete fields because discrete pills are blue. Tableau's official Continuous Dates documentation states that continuous dates create an axis and that converting a date field to continuous causes the field to turn green. Tableau's general field-role documentation separately confirms that continuous fields create axes while discrete fields create headers.
19. Frage
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