Get 100% Authentic SAP C_SAC_2415 Dumps with Correct Answers [Q22-Q40]

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Get 100% Authentic SAP C_SAC_2415 Dumps with Correct Answers

New Training Course C_SAC_2415 Tutorial Preparation Guide

NEW QUESTION # 22
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

  • A. Composite
  • B. Chart
  • C. Table
  • D. Lane

Answer: B,C

Explanation:
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts


NEW QUESTION # 23
Where can you create a blank planning version?

  • A. In the planning model
  • B. In the version dimension
  • C. In version management
  • D. In a data cell

Answer: C

Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning


NEW QUESTION # 24
You have a live data model with two dimensions: Firstname and Lastname. Users want a single dimension in the data model that displays the dimensions as Lastname, Firstname. What must you do?

  • A. Create a calculated dimension in the story.
  • B. Create a calculated dimension in the data model.
  • C. Create the combined data in the source system.
  • D. Group the Firstname and Lastname in the data model.

Answer: B

Explanation:
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices


NEW QUESTION # 25
You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?

  • A. Distribute
  • B. Redistribute
  • C. Reference
  • D. Driver

Answer: D

Explanation:
In the context of creating an allocation step to distribute expenses from the HR cost center to operating cost centers in SAP Analytics Cloud, the "Driver" dimension setting is crucial. This setting determines the basis or criteria on which the distribution is calculated and applied to each operating cost center. For instance, the driver could be the number of employees, square footage, or any other relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation


NEW QUESTION # 26
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

  • A. Restricted Measure
  • B. Date Difference
  • C. Difference From
  • D. Aggregation

Answer: A,C


NEW QUESTION # 27
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

  • A. Use conditional formatting
  • B. Avaid prompts
  • C. Avaid tables with more than 500 rows and 60 columns
  • D. Load widgets in the background
  • E. Use responsive pages

Answer: A,C,D


NEW QUESTION # 28
You are creating a script for an advanced data action. Which character designates a virtual variable member?

  • A. #
  • B. /
  • C. *
  • D. %

Answer: B


NEW QUESTION # 29
Which dimension type can you use like a measure?

  • A. Organization
  • B. Date
  • C. Account
  • D. Entity

Answer: C

Explanation:
In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions


NEW QUESTION # 30
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

  • A. Use fewer data functions
  • B. Use fewer IF statements
  • C. Use fewer MEMBERSET statements
  • D. Use fewer FOREACH functions
  • E. Use fewer aggregation dimension functions

Answer: A,B,D


NEW QUESTION # 31
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

  • A. Dis-able allocations
  • B. Use two properties
  • C. Dis-able distribution
  • D. Use two hierarchies

Answer: D


NEW QUESTION # 32
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?

  • A. Increase the font size of the axis labels
  • B. Select the Avoid Data Label Overlap checkbox
  • C. Increase the overall size of the chart widget on the page

Answer: B

Explanation:
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts


NEW QUESTION # 33
Which programming language is used for scripting in an SAP Analytics Cloud story?

  • A. Wrangling Expression Language
  • B. Python
  • C. ABAP
  • D. JavaScript

Answer: D


NEW QUESTION # 34
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

  • A. Freeze Up to row
  • B. Enable Auto-Size And Page Table Vertically
  • C. Freeze Up to column
  • D. Enable Keeping member names visible

Answer: A,C


NEW QUESTION # 35
In a data model, what can you use to further describe a dimension?

  • A. Data action
  • B. Variable
  • C. Property
  • D. Measure

Answer: C

Explanation:
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties


NEW QUESTION # 36
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Measures
  • B. Calculations
  • C. Dimensions
  • D. Hierarchies

Answer: A,C

Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models


NEW QUESTION # 37
Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.

  • A. Embedded
  • B. Planning
  • C. Standalone
  • D. Analytic

Answer: B,D


NEW QUESTION # 38
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

  • A. Budget
  • B. Forecast
  • C. Actual
  • D. Predictive

Answer: A,C


NEW QUESTION # 39
What can you use to perform cell-based calculations in a story?

  • A. Table formulas
  • B. Calculated measures
  • C. Dimension formulas
  • D. Restricted measures

Answer: A

Explanation:
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories


NEW QUESTION # 40
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SAP C_SAC_2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 2
  • Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.
Topic 3
  • Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.
Topic 4
  • Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
Topic 5
  • Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.

 

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