Analytics-101学習関連題 & Analytics-101関連受験参考書

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Salesforce Analytics-101 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Connecting to and Preparing Data23%- Manage data properties
- Create and manage the data model
- Create live connections and extracts
Topic 2: Understanding Tableau Concepts15%- Understand aggregations
- Understand dimensions and measures
- Understand discrete and continuous fields
Topic 3: Exploring and Analyzing Data37%- Organize data and apply filters
- Create basic charts
- Apply analytics to a worksheet
Topic 4: Sharing Insights25%- Create and modify a dashboard
- View and share workbook data
- Format view for presentation

>> Analytics-101学習関連題 <<

Analytics-101関連受験参考書、Analytics-101受験資格

多分、Analytics-101テスト質問の数が伝統的な問題の数倍である。Salesforce Analytics-101試験参考書は全ての知識を含めて、全面的です。そして、Analytics-101試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。Analytics-101試験参考書があれば,ほかの試験参考書を勉強する必要がないです。

Salesforce Certified Tableau Desktop Foundations 認定 Analytics-101 試験問題 (Q39-Q44):

質問 # 39
What allows a Tableau associate to drill up or down in the level of detail (LOD)?

正解:B

解説:
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.


質問 # 40
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.

正解:A、C

解説:
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.


質問 # 41
Which two types of fields appear blue?

正解:B、C

解説:
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.


質問 # 42
What are three options to change the scope of a reference line?

正解:A、D、E

解説:
Tableau provides three principal scope levels for reference lines: Entire Table, Per Pane, and Per Cell.
Therefore, A, B, and D are correct. Scope determines the partition of the visualization over which Tableau calculates and displays the reference line. Entire Table computes one reference value based on all applicable marks in the view. This is appropriate for a global benchmark such as overall average Sales. Per Pane creates a separate reference line for each pane. For example, if a visualization is partitioned by Region, Tableau can calculate an independent average for each regional pane. Per Cell is still more granular and can calculate a separate reference line for each cell defined by the row and column structure of the view. Maximum is not a scope; it is a possible statistical value or computation that can be used to determine the reference-line value.
Similarly, Fill Above concerns formatting or shading behavior associated with analytical reference objects and does not define the calculation scope. Official Tableau documentation explicitly states that the terms Table, Pane, and Cell define the scope for reference lines and related analytical objects. These options control whether the benchmark applies globally or independently to specific partitions of the visualization.


質問 # 43
What are three ways to access bolding options for the text in a tooltip?

正解:B、C、F

解説:
The three applicable routes are Tooltip on the Marks card, Format > Font, and Worksheet > Tooltip, so C, E, and F are correct. Selecting Tooltip on the Marks card opens the Edit Tooltip dialog. This editor contains text- formatting controls that allow tooltip content to be formatted, including the application of bold styling to selected text. Tableau also provides an equivalent route through Worksheet > Tooltip, which opens the same tooltip-editing environment for the current worksheet. A third route is through Format > Font. Tableau's worksheet-level font formatting includes a specific Tooltip section. This enables formatting of tooltip text at the worksheet level, including font style settings such as bold. This method is useful when a consistent tooltip font treatment is required rather than individually formatting portions of the tooltip body. The keyboard sequences listed in A and D are not defined Tableau methods for accessing tooltip formatting options merely by hovering over a mark. Right-clicking an arbitrary field and selecting Format is primarily associated with field/view formatting and is not the specified route to the tooltip bolding controls in this question. Official Tableau documentation confirms both Tooltip on the Marks card and Worksheet > Tooltip, while current Font formatting documentation exposes Tooltip as a configurable font target.


質問 # 44
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