Wir alle wissen, dass einige IT-Zertifikate zu bekommen ist in der heutigen konkurrenzfähigen Gesellschaft ganz notwendig ist. Das IT-Zertifikat ist der beste Beweis für Ihre Fachkenntnisse. Die Salesforce Analytics-101 Zertifizierungsprüfung ist eine wichtige Zertifizierungsprüfung. Aber es ist schwer, die Prüfung zu bestehen. Es ist doch wert, Geld für ein Ausbildungsinstitut auszugeben, um im Beruf befördert zu werden. Fast2test hat die zielgerichteten Schulungsunterlagen zur Salesforce Analytics-101 Zertifizierungsprüfung, deren Ähnlichkeit mit den echten Prüfungen 95% beträgt. Wenn Sie an der Ausbildung von Fast2test teilnehmen, können Sie dann 100% die Prüfung bestehen. Sonst geben wir Ihnen eine Rückerstattung.
| Section | Weight | Objectives |
|---|---|---|
| Connecting to and Preparing Data | 23% | - Manage data properties - Create live connections and extracts - Create and manage the data model |
| Understanding Tableau Concepts | 15% | - Understand aggregations - Understand dimensions and measures - Understand discrete and continuous fields |
| Sharing Insights | 25% | - Create and modify a dashboard - Format view for presentation - View and share workbook data |
| Exploring and Analyzing Data | 37% | - Apply analytics to a worksheet - Create basic charts - Organize data and apply filters |
>> Salesforce Analytics-101 Online Praxisprüfung <<
Warum wählen viele Fast2test? Weil er Bequemlichkeiten und Anwendbarkeit bringen. Das hat von der Praxis überprüft. Die Lernmaterialien zur Salesforce Analytics-101 Zertifizierungsprüfung von Fast2test ist den allen bekannt. Viele Kandidaten sind nicht selbstsicher, die Salesforce Analytics-101 Zertifizierungsprüfung zu bestehen. Deshalb sollen Sie die Materialien zur Salesforce Analytics-101 Zertifizierungsprüfung haben. Mit ihm können Sie mehr Selbstbewusstsein haben und sich gut auf die Prüfung vorbereiten.
40. Frage
At a minimum, what does a Tableau associate need to create a simple scatter plot?
Antwort: C
Begründung:
A basic scatter plot requires one measure on Columns and another measure on Rows, so D is correct. A scatter plot displays the relationship between two quantitative variables. One measure determines the horizontal position of each mark, while the second measure determines its vertical position. For example, placing SUM(Sales) on Columns and SUM(Profit) on Rows establishes a two-dimensional quantitative coordinate system. A dimension may then be added to Detail, Color, Shape, or another Marks property to create separate marks for entities such as customers, products, or states. However, that additional dimension is not the fundamental axis requirement identified by the question. The minimum structural requirement is two quantitative measures defining the x- and y-axes. A dimension plus a measure normally produces a categorical view such as a bar chart rather than a scatter plot. Two dimensions likewise do not supply the pair of quantitative scales required to analyze numerical correlation or distribution. Tableau's visual construction model distinguishes continuous quantitative measures, which generate axes, from discrete fields, which generally create headers. A scatter plot relies on two quantitative axes and therefore requires measures on both Rows and Columns. This is consistent with Tableau's standard scatter-plot construction methodology and its continuous-field behavior.
41. 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.
42. Frage
A Tableau associate has the following data.
The associate wants to sort each category's sub-category by ascending sales.
Which sort option should the associate use?
Antwort: C
Begründung:
The correct option is Nested because the Sub-category members must be sorted independently within each Category based on Sales. A nested sort evaluates the measure separately inside each pane or parent dimensional grouping. In this example, the Home sub-categories should be sorted according to their Home Sales values, while the Bath sub-categories must be sorted independently according to the Bath Sales values.
For Home, Bulk has Sales of $50 and Accessory has $60, so ascending order is Bulk followed by Accessory.
For Bath, Accessory has $45 and Bulk has $75, so ascending order is Accessory followed by Bulk. This demonstrates why a single global ordering is insufficient: the correct Sub-category order differs between the two Category groups. A non-nested field sort can produce a consistent order based on aggregated values across the view, which would not satisfy the requirement to rank Sub-category independently inside each Category. Manual sorting would require explicit maintenance, while data source order simply follows the ordering supplied by the underlying source. Tableau's official sorting documentation states that nested sorting considers values independently per pane and sorts the values separately within those panes.
43. Frage
Which aggregation is available without requiring a table calculation or calculated field?
Antwort: D
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.
44. Frage
What allows a Tableau associate to drill up or down in the level of detail (LOD)?
Antwort: A
Begründung:
Hierarchies provide Tableau's native mechanism for drilling up and down through related levels of detail, making A correct. A hierarchy organizes dimensions into an ordered structure such as Region > State > City, Category > Sub-Category > Product, or a standard date hierarchy such as Year > Quarter > Month > Day.
When a hierarchy field is placed in a visualization, Tableau displays plus and minus controls that permit the analyst to expand to a more detailed level or collapse to a higher level. Drilling down adds another hierarchy level to the view, increasing the level of detail. Drilling up removes a lower level and returns the analysis to a more aggregated perspective. This functionality allows analysts to move through different analytical granularities without manually adding and removing each related field. Bins serve a different purpose: they partition continuous numeric values into intervals. Groups consolidate selected dimension members into broader categories. Sets identify subsets of data according to membership logic or user selections. None of those constructs inherently provides structured drill-up/drill-down navigation. Tableau's official hierarchy documentation explicitly states that hierarchies allow users to quickly drill up or down to add or subtract levels of detail and identifies the plus and minus icons as the controls used for this operation.
45. Frage
......
Wie kann man Erfolge erlangen. Es gibt nur eine Ankürzung, nämlich: die Lernhilfe zur Salesforce Analytics-101Zertifizierungsprüfung von Fast2test zu benutzen. Das ist unser Vorschlag für jeden Kandidaten. Wir hoffen, dass Sie Ihren Traum erfüllen können.
Analytics-101 Lernressourcen: https://de.fast2test.com/Analytics-101-premium-file.html