our Analytics-101 exam questions beckon exam candidates around the world with our attractive characters. Our experts made significant contribution to their excellence. So we can say bluntly that our Analytics-101 simulating exam is the best. Our effort in building the content of our Analytics-101 Study Materials lead to the development of learning guide and strengthen their perfection. To add up your interests and simplify some difficult points, our experts try their best to design our study material and help you understand the learning guide better.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring and Analyzing Data | 37% | - Create basic charts - Organize data and apply filters - Apply analytics to a worksheet |
| Topic 2: Understanding Tableau Concepts | 15% | - Understand aggregations - Understand discrete and continuous fields - Understand dimensions and measures |
| Topic 3: Sharing Insights | 25% | - Format view for presentation - Create and modify a dashboard - View and share workbook data |
| Topic 4: Connecting to and Preparing Data | 23% | - Create and manage the data model - Create live connections and extracts - Manage data properties |
>> Practice Analytics-101 Tests <<
A free demo of the Desktop Salesforce Analytics-101 Practice Test Software is available for users to test features of this version before buying it. Desktop Salesforce Analytics-101 Practice Test Software practice test software is Windows-based and can be used without the internet. A 24/7 customer service is available for your assistance for Salesforce Analytics-101 Exam. This practice exam is customizable therefore you can adjust the duration and questions numbers as per your needs for Salesforce Analytics-101 Exam.
NEW QUESTION # 24
A Tableau associate has the following visualization.
Where should the associate place a field named Region to show multiple distinct lines on the same axis?
Answer: B
Explanation:
The associate should place Region on Color on the Marks card. A discrete dimension placed on Color partitions the marks according to the dimension's members. Consequently, the visualization produces a separate line for each Region while preserving the existing date field on Columns and Sales measure on Rows. For example, if Region contains Central, East, South, and West, Tableau separates the original Sales line into four distinct series and assigns a categorical color to each region. The lines remain plotted against the same continuous date and Sales axes, which satisfies the requirement for multiple distinct lines on the same axis. Placing Region on Rows or Columns would partition the visualization into separate panes or headers rather than overlaying distinct regional lines within the same plotting area. Path controls the order in which Tableau connects marks in a line or polygon and therefore does not provide the required categorical separation. Tableau's Marks card is specifically designed to encode fields by visual properties such as Color, Size, Label, Detail, Tooltip, and Path. Official Tableau documentation confirms that placing a discrete field- typically a dimension-on Color assigns a distinct categorical color to each value.
NEW QUESTION # 25
What are two correct methods for creating a visual group?
Answer: C,D
Explanation:
Tableau supports creating groups either directly from selected marks in a visualization or from a field in the Data pane. Therefore, A and D are correct. For the first method, the analyst selects one or more marks in the view. Tableau exposes a grouping control in the selection tooltip or toolbar. Activating the Group command combines the dimension members represented by those marks into a new group. This method is particularly effective when the analyst identifies categories visually during exploration. For the second method, the analyst can right-click a dimension in the Data pane and select Create > Group. Tableau opens the Create Group dialog, where multiple members can be selected and grouped explicitly. Option C represents another Tableau capability, but not grouping: dragging one dimension directly onto another in the Data pane is used to create a hierarchy. Hierarchies organize related dimensions into drillable levels rather than consolidating dimension members into a group. Opening the general drop-down menu at the top of the Data pane is likewise not the specified procedure for creating a visual group. Tableau's official Group Your Data documentation identifies exactly these two core workflows: create a group by selecting data in the view or create a group from a field in the Data pane.
NEW QUESTION # 26
Which chart type uses automatically generated sizes that cannot be resized by using the Marks card?
Answer: B
Explanation:
The correct answer is Treemaps. A treemap represents data as a set of rectangles. Tableau uses one or more dimensions to define the rectangular structure, while a measure placed on Size determines each rectangle's relative area. Tableau automatically lays out the rectangles to use the available visualization space efficiently.
The analyst therefore controls relative size through the measure encoded on Size rather than manually resizing the generated rectangles with the ordinary Marks card size slider. For example, if Sub-Category defines the rectangles and Sales is placed on Size, categories with larger aggregated Sales values receive proportionally larger rectangles. Changing the Sales values or replacing the field on Size changes the relative areas, while Tableau recalculates the layout automatically. Pie charts have mark-size controls and can be resized through the Marks card. Area charts derive their visual area from their axes and underlying measures. Histograms use bars representing bins and frequencies and have different bar-sizing behavior. Tableau's official Treemap documentation identifies Size and Color as the crucial encodings and explains that a measure on Size determines the areas of the rectangles. The resulting treemap geometry is automatically laid out according to those values rather than manually sized mark by mark.
NEW QUESTION # 27
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?
Answer: D
Explanation:
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.
NEW QUESTION # 28
What is a Tableau story point?
Answer: C
Explanation:
A story point is an individual visualization state within a Tableau story, normally represented by a worksheet or dashboard. Therefore, A is correct. Tableau defines a story as a sequence of visualizations that collectively communicate information, provide context, demonstrate relationships, or support a data-driven narrative.
Each individual sheet contained in that sequence is called a story point. A story can contain multiple points, and each point can present a different worksheet, dashboard, filter state, annotation, or analytical stage.
Option C describes the overall story, not an individual story point. The distinction is important: the story represents the complete ordered narrative, while the story point represents one step within that narrative.
Option B is not an official Tableau object or definition. Option D refers to controls within the story workspace and does not define a story point. This functionality allows an analyst to guide viewers through findings in a controlled sequence while preserving interactive visualization capabilities where supported. Official Tableau Desktop documentation explicitly states that a story is a collection of sheets arranged in sequence and that each individual sheet in a story is called a story point.
NEW QUESTION # 29
......
To gain a full understanding of our product please firstly look at the introduction of the features and the functions of our Analytics-101 exam torrent. The page of our product provide the demo and the aim to provide the demo is to let the you understand part of our titles before their purchase and see what form the software is after the you open it. The client can visit the page of our product on the website. So the client can understand our Analytics-101 Quiz torrent well and decide whether to buy our product or not at their wishes. The client can see the forms of the answers and the titles.
Unlimited Analytics-101 Exam Practice: https://www.itexamguide.com/Analytics-101_braindumps.html