Real C_SAC_2415 Exam PDF Test Engine Practice Test Questions [Q28-Q45]

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Real C_SAC_2415 Exam PDF Test Engine Practice Test Questions

SAP C_SAC_2415 Real 2024 Braindumps Mock Exam Dumps

NEW QUESTION # 28
Which programming language is used for scripting in an SAP Analytics Cloud story?

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

Answer: D


NEW QUESTION # 29
You want to display differences between measures in a chart. What can you use?

  • A. Threshold
  • B. Variance
  • C. Restricted measure
  • D. Reference line

Answer: B

Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance


NEW QUESTION # 30
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

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

Answer: C,D

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 # 31
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

  • A. Add JavaScript to a button
  • B. Add a popup
  • C. Add a layer to a geo map
  • D. Add a custom widget

Answer: A,B


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

Answer: A

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
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

  • A. Changing dimensions or measures displayed in a table
  • B. Selecting an alternate data source
  • C. Filtering data on a page
  • D. Implementing row-level and column-level security in a table

Answer: A,C

Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction


NEW QUESTION # 34
You are creating a script for an advanced data action. Which character designates a virtual variable member?

  • A. %
  • B. *
  • C. /
  • D. #

Answer: C


NEW QUESTION # 35
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

  • A. Many story filters
  • B. Many hyperlinks
  • C. Many data sources
  • D. Complex formatting
  • E. Large calculation scope

Answer: A,C,D


NEW QUESTION # 36
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

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

Answer: C,D


NEW QUESTION # 37
Which SAP Analytics Cloud feature uses natural language processing?

  • A. Digital boardroom
  • B. Data analyzer
  • C. Smart insight
  • D. Just Ask feature

Answer: C


NEW QUESTION # 38
Where can you change a data lock status? Note: There are 2 correct answers to this question.

  • A. Data action
  • B. Calendar task
  • C. Value lock management
  • D. Multi action

Answer: B,D


NEW QUESTION # 39
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

  • A. Filter data
  • B. Input data
  • C. Create cross-calculation
  • D. Drill down on data

Answer: A,D

Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer


NEW QUESTION # 40
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: C,D

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 # 41
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. On-premise
  • B. Import
  • C. Cloud
  • D. Live

Answer: B,D

Explanation:
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios


NEW QUESTION # 42
What can you use to perform cell-based calculations in a story?

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

Answer: C

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 # 43
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.

  • A. Refresh the import job
  • B. Allow model import
  • C. Refresh the story
  • D. Schedule the import

Answer: C,D

Explanation:
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.


NEW QUESTION # 44
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 column
  • B. Freeze Up to row
  • C. Enable Auto-Size And Page Table Vertically
  • D. Enable Keeping member names visible

Answer: A,B


NEW QUESTION # 45
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SAP C_SAC_2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 4
  • 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 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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