It-Pruefung zusammengestellt Salesforce Analytics-101 Fragen und Antworten mit originalen Prüfungsfragen und präzisen Antworten, wie sie in der eigentlichen Prüfung erscheinen. Wir aktualisieren regelmäßig diese qualitativ hochwertigen Analytics-101 Prüfung Salesforce Certified Tableau Desktop Foundations. It-Pruefung ernennt nur die besten und kompetentesten Autoren für unsere Produkte, daher sind die Analytics-101 Prüfungsfragen und Antworten (Salesforce Certified Tableau Desktop Foundations) aus It-Pruefung sicherlich perfekt.
| Section | Objectives |
|---|---|
| Topic 1: Sharing Insights | - Dashboards
|
| Topic 2: Exploring and Analyzing Data | - Building views
|
| Topic 3: Understanding Tableau Concepts | - Best practices
|
| Topic 4: Connecting to Data | - Data sources and connections
|
>> Analytics-101 Testengine <<
Alle Anfang ist schwer. Zögern Sie noch, wie mit der Vorbereitung der Salesforce Analytics-101 Prüfung anfangen? Die Prüfungsunterlagen der Salesforce Analytics-101 von uns zu kaufen wird ein notwendiger Schritt Ihrer Vorbereitung. Was wir Ihnen bieten, ist nicht nur was Sie möchten, sondern auch was für Ihre Vorbrereitung der Salesforce Analytics-101 Prüfung unerlässlich ist. Vielleicht haben Sie noch Hemmungen mit diesem Schritt. So können Sie zuerst die Demo der Salesforce Analytics-101 Prüfungsunterlagen herunterladen. Nachdem Sie probiert haben, werden Sie bestimmt diesen Schritt machen.
22. Frage
What are two outcomes when a Tableau associate drags a continuous date value to the Rows shelf?
Antwort: C,D
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.
23. 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: D
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.
24. Frage
A Tableau associate has a continuous numeric measure named Sales.
Which chart type is created when the associate double-clicks the Sales measure?
Antwort: B
Begründung:
Double-clicking a continuous numeric measure such as Sales in an empty Tableau worksheet automatically produces a bar chart, making C correct. Tableau uses intelligent defaults when fields are double-clicked in the Data pane. With a single measure and no dimensions already defining the view, Tableau aggregates the measure-normally using its default aggregation such as SUM-and adds it to the visualization. The Automatic mark type resolves to a bar, producing a single bar representing the aggregated Sales value.
Tableau's official documentation provides this exact construction using the Profit measure. It states that double-clicking Profit automatically adds the field to the view in an intelligent way, and the documented resulting visualization is a bar chart of Profit. Sales is the same type of field-a quantitative measure-so the same automatic-view rule applies. A line chart ordinarily requires an ordered dimension such as a date field to provide a sequence across which values can be connected. A pie chart requires additional categorical structure for meaningful segmentation. A text table is generally created when a dimension is double-clicked first and subsequent fields refine that cross-tabular structure. Therefore, a lone continuous numeric measure double- clicked in a new worksheet produces the automatic single-measure bar visualization.
25. Frage
To which type of element can a Tableau associate apply a default aggregation?
Antwort: D
Begründung:
A default aggregation can be specified for a measure, making A correct. Measures represent quantitative values and are normally aggregated when they are added to a visualization. For example, a Sales measure typically appears as SUM(Sales). Tableau allows the author to change the measure's default aggregation so that subsequent uses of the field can initially use AVG, MIN, MAX, COUNT, standard deviation, or another supported aggregation instead of SUM. The configuration is available from the Data pane by right-clicking the measure and selecting Default Properties > Aggregation. The choice becomes the default behavior when the field is subsequently added to a view, although the aggregation can still be overridden for an individual instance of the field. Dimensions do not use a default measure aggregation in this manner because their primary role is to partition and categorize the data. Bins are generated categorical fields representing numerical intervals. An already aggregated calculated expression also has restrictions because Tableau cannot arbitrarily aggregate an expression that is already defined at an aggregate level. Tableau's official Default Settings documentation specifically states that users can specify a default aggregation for any measure and documents the Data pane workflow for configuring it.
26. Frage
What are two methods for renaming a field in a visualization?
Antwort: C,D
Begründung:
Tableau allows a field to be renamed directly in the Data pane by making the field name editable or by selecting Rename from the field's contextual menu. Therefore, B and C are correct. For the first method, Tableau documentation specifies that the user can click a field name in the Data pane and hold the mouse button until the field name appears in an editable text box. The new name can then be entered and confirmed.
Tableau also provides keyboard alternatives such as F2 or Ctrl+Enter. The second standard workflow is to open the field's contextual or drop-down menu and choose Rename. This changes the field name used within Tableau without changing the column name in the underlying data source. Replace References serves a different function. It substitutes one field for another throughout the workbook and is commonly used when replacing broken or obsolete field references; it is not simply a renaming command. Field Labels under formatting controls how field labels appear in a view rather than changing the Data pane field name. Tableau explicitly documents Data pane renaming and confirms that renamed fields retain the new Tableau-facing name within the workbook.
27. Frage
......
Zweifellos braucht die Vorbereitung der Salesforce Analytics-101 Prüfung große Mühe. Aber diese Zertifizierungsprüfung zu bestehen bedeutet, dass Sie in IT-Gewerbe bessere Berufsperspektive besitzen. Deshalb was wir für Sie tun können ist, lassen Ihre Anstrengungen nicht umsonst geben. Die Wirkung und die Autorität der Salesforce Analytics-101 Prüfungssoftware erwerbt die Anerkennung vieler Kunden. Solange Sie die demo kostenlos downloaden und probieren, können Sie es empfinden. Wir wollen Ihnen mit allen Kräften helfen, Die Salesforce Analytics-101 zu bestehen!
Analytics-101 Fragen Und Antworten: https://www.it-pruefung.com/Analytics-101.html