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| Section | Objectives |
|---|---|
| Topic 1: Connecting to Data | - Data preparation basics
|
| Topic 2: Sharing Insights | - Dashboards
|
| Topic 3: Understanding Tableau Concepts | - Core Tableau terminology
|
| Topic 4: Exploring and Analyzing Data | - Basic calculations
|
私たちが知っているように、一部の人々は以前に試験に失敗し、Analytics-101トレーニング資料を購入する前にこの苦しい試験に自信を失いました。私たちはここで悲しみを分けます。これから時間のかかる思考を捨てることができます。対照的に、それらは不明瞭なコンテンツを感じることなくあなたの可能性を刺激します。 Analytics-101試験準備を取得した後、試験期間中に大きなストレスにさらされることはありません。
質問 # 34
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、B
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 # 35
A Tableau associate needs to share a workbook with a user who does NOT have access to the underlying data.
The user must be able to modify existing visualizations.
What should the associate do?
正解：D
解説：
The associate should save the workbook as a Tableau Packaged Workbook (.twbx). A packaged workbook can contain the workbook itself together with copies of supported local data sources, Tableau extracts, background images, and other workbook resources. This directly addresses the scenario because the recipient does not have access to the original underlying data. When appropriate data is packaged with the workbook, the recipient can open the workbook in Tableau Desktop and interact with or modify its existing worksheets and visualizations without requiring the author's original file paths. A .twb file contains the workbook definition but normally references external data rather than packaging the required local resources. Therefore, it would not reliably solve the access problem. Creating a .hyper file alone provides an extract but does not contain the complete Tableau workbook, including worksheets, dashboards, calculations, formatting, parameters, and visualization definitions. Exporting views produces presentation-oriented outputs and does not satisfy the requirement to modify the existing Tableau visualizations. Tableau specifically recommends packaged workbooks when sharing with someone who does not have access to referenced resources or the original environment.
質問 # 36
A Tableau associate has a group that contains three members and the Other group.
What occurs when the associate ungroups one of the members?
正解：B
解説：
Because the group field contains an enabled Other group, ungrouping one of the explicitly grouped members causes that member to be placed into Other. Therefore, A is correct. Tableau groups allow analysts to combine individual members of a dimension into higher-level categories. When the Include "Other" option is enabled, all members that are not assigned to one of the explicitly defined groups are collected automatically into an Other category. Tableau's official Group Your Data documentation specifically describes the behavior of removing members from an existing group. The analyst opens Edit Group, selects the member, and chooses Ungroup. Tableau removes the selected member from its current explicit group. Critically, the documentation states that if an Other group exists, the removed members are added to it. The underlying original dimension member is not deleted. However, option B is incomplete for this exact scenario because the question explicitly states that the Other group exists; Tableau does not merely leave the member ungrouped-it places it into Other. No new single-member group is automatically created, eliminating C, and removing one member does not delete the entire group, eliminating D. This behavior is central to Tableau's dimension grouping and Other- category management.
質問 # 37
When should a Tableau associate use a relationship instead of a join for two data sets?
正解：B
解説：
A relationship is particularly appropriate when the tables being combined contain data at different levels of detail, making D correct. Tableau relationships operate in the logical layer of the data model and preserve each logical table's native granularity. Tableau determines the necessary joins dynamically during analysis according to the fields used in the visualization. This behavior is materially different from a physical join. A join merges records into a single physical table before analysis. If tables have different granularities, a physical join can duplicate measure values or remove records depending on the join structure and matching keys. Relationships reduce that risk because Tableau aggregates relevant information according to each table's natural level of detail before combining results as required by the visualization. Official Tableau guidance explicitly recommends relationships for combining data from different levels of detail. Relationships also preserve independent logical tables rather than flattening them into a single physical table. Option B merely describes where tables reside and does not determine whether a relationship or join is preferable. Options A and C likewise do not identify the principal modeling scenario addressed by relationships. Relevant Tableau Desktop concepts include logical tables, physical tables, relationships, joins, aggregation behavior, and preservation of level of detail.
質問 # 38
Which type of chart can a Tableau associate create without using a dimension?
正解：C
解説：
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.
質問 # 39
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Analytics-101関連資料: https://www.tech4exam.com/Analytics-101-pass-shiken.html