Salesforce Analytics-101 시험환경에 적응하고 싶은 분은 pdf버전 구매시 온라인버전 또는 테스트엔진 버전을 추가구매하시면 됩니다. 문제는 pdf버전의 문제와 같지만 pdf버전의 문제를 마스터한후 실력테스 가능한 프로그램이기에Salesforce Analytics-101시험환경에 익숙해져 시험을 보다 릴렉스한 상태에서 볼수 있습니다.
| Section | Objectives |
|---|---|
| Sharing Insights | - Publishing and sharing
|
| Exploring and Analyzing Data | - Building views
|
| Connecting to Data | - Data preparation basics
|
| Understanding Tableau Concepts | - Best practices
|
>> Salesforce Analytics-101시험대비 공부문제 <<
ExamPassdump에서 출시한 Salesforce Analytics-101덤프만 있으면 학원다닐 필요없이 시험패스 가능합니다. Salesforce Analytics-101덤프를 공부하여 시험에서 떨어지면 불합격성적표와 주문번호를 보내오시면 덤프비용을 환불해드립니다.구매전 데모를 받아 덤프문제를 체험해보세요. 데모도 pdf버전과 온라인버전으로 나뉘어져 있습니다.pdf버전과 온라인버전은 문제는 같은데 온라인버전은 pdf버전을 공부한후 실력테스트 가능한 프로그램입니다.
질문 # 37
What allows a Tableau associate to drill up or down in the level of detail (LOD)?
정답：C
설명：
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.
질문 # 38
A Tableau associate needs to change the color intensity of a quantitative range.
Which option should the associate use?
정답：A
설명：
Opacity is the appropriate control when the objective is to change how intense or subdued the existing colors appear. In Tableau, the Color controls on the Marks card include an Opacity slider. Moving this control toward lower opacity makes marks increasingly transparent; increasing opacity makes the applied colors visually stronger and less transparent. Therefore, C is correct. The other options modify different properties.
Border adds an outline around supported mark types and does not control the overall intensity of the fill color.
Reversed inverts the ordering of a quantitative color palette-for example, changing a sequential palette so that lower values receive the darker intensity and higher values receive the lighter intensity. It changes which values receive each shade rather than controlling overall opacity. Stepped Color converts a continuous quantitative palette into a specified number of discrete color bands or bins. Tableau's current Color Palettes and Effects documentation explicitly identifies Opacity as the setting used to modify the transparency of marks. It separately defines Reversed as inverting the order of colors and Stepped Color as grouping quantitative values into uniform color bins. These distinctions make Opacity the correct setting for modifying visual color intensity.
질문 # 39
When should a Tableau associate use a relationship instead of a join for two data sets?
정답：B
설명：
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.
질문 # 40
When using a data source that has relationships, how can a Tableau associate add a join between two or more tables?
정답：A
설명：
To create a join in a data source that already uses relationships, the associate must double-click a logical table in the canvas, making C correct. Tableau's data model has two layers. The top-level logical layer contains logical tables connected by relationships. A join cannot be created directly between these logical tables because joins operate in the underlying physical layer. Double-clicking a logical table opens its physical Join
/Union canvas. From there, the associate can drag or double-click additional physical tables and define the required join clauses and join type. This distinction is fundamental to Tableau's modern data model.
Relationships connect logical tables while keeping them separate and preserving their natural level of detail.
Joins merge physical tables into one logical table using an explicitly defined join configuration. Selecting Add in the Connections pane adds another connection; it does not itself create the join. Dragging a table directly onto the top-level logical canvas generally creates a relationship rather than a physical join. Double-clicking a table in the Tables pane is not the step used to enter the physical layer of an existing logical table. Tableau's official documentation explicitly instructs users to double-click a logical table to open the physical layer where joins and unions can be created.
질문 # 41
A Tableau associate needs to change the color intensity of a quantitative range.
Which option should the associate use?
정답：A
질문 # 42
......
우리 ExamPassdump에서는 최고이자 최신의Salesforce 인증Analytics-101덤프자료를 제공 함으로 여러분을 도와Salesforce 인증Analytics-101인증자격증을 쉽게 취득할 수 있게 해드립니다.만약 아직도Salesforce 인증Analytics-101시험패스를 위하여 고군분투하고 있다면 바로 우리 ExamPassdump를 선택함으로 여러분의 고민을 날려버릴수 있습니다.
Analytics-101최신버전 인기덤프: https://www.exampassdump.com/Analytics-101_valid-braindumps.html