SAP New 2025 C-SAC-2415 Test Tutorial (Updated 62 Questions)
C-SAC-2415 Exam Questions Dumps, Selling SAP Products
SAP C-SAC-2415 Exam Syllabus Topics:
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NEW QUESTION # 14
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.
- A. Set Size Limits for Planning Performance in the model.
- B. Select fluid data entry mode in the story.
- C. Enable Optimize Recommended Planning Area in the model.
- D. Enable unbooked data in the story.
Answer: B,C
NEW QUESTION # 15
What must you use to transform data in a dataset using if/then/else logic?
- A. Formula bar
- B. Transform bar
- C. Custom expression editor
- D. Calculations editor
Answer: C
Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation
NEW QUESTION # 16
What type of predictive scenario can write back to a planning model?
- A. Regression
- B. Time series forecast
- C. Classification
- D. Value driver tree
Answer: B
Explanation:
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models
NEW QUESTION # 17
You want to display differences between measures in a chart. What can you use?
- A. Reference line
- B. Variance
- C. Restricted measure
- D. Threshold
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 # 18
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. Standalone
- B. Embedded
- C. Planning
- D. Analytic
Answer: C,D
NEW QUESTION # 19
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Calculations
- B. Measures
- C. Hierarchies
- D. Dimensions
Answer: B,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 # 20
You want to save your data analyzer result. What is it saved as?
- A. Dataset
- B. Insight
- C. Story
- D. Model
Answer: B
NEW QUESTION # 21
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.
- A. Add a layer to a geo map
- B. Add a custom widget
- C. Add JavaScript to a button
- D. Add a popup
Answer: C,D
NEW QUESTION # 22
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Explorer
- B. Undo button
- C. Composites
- D. Grid pages
- E. Linked widgets diagram
Answer: B,C,E
NEW QUESTION # 23
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?
- A. Append
- B. Signflip
- C. Aggregate To
- D. Unbooked
Answer: B
NEW QUESTION # 24
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. EXP
- B. INC
- C. LEQ
- D. AST
Answer: A,B
NEW QUESTION # 25
You are using a live connection for a model. Where is the data stored?
- A. Public dataset
- B. Embedded data set
- C. Source system
- D. SAP Analytics Cloud model
Answer: C
Explanation:
Connections and data preparation
When using a live connection in SAP Analytics Cloud, the data remains stored in the source system. This means that no data is imported or replicated into SAP Analytics Cloud; instead, it is accessed and analyzed in real-time directly from the source system. This approach ensures that the most current data is always used for analysis and that data governance and security policies of the source system remain in control.
Reference:
Live Data Connections to SAP S/4HANA | SAP Help Portal1
SAP Analytics Cloud Connection Guide2
SAP Analytics Cloud Data Connections - InsightCubes
In the context of SAP Analytics Cloud, when using a live connection to connect to a data source, the data remains stored in the source system. This setup means that SAP Analytics Cloud directly queries the data in its original location, without importing or copying it into the SAP Analytics Cloud environment. This approach is advantageous for several reasons, including maintaining a single source of truth, reducing data redundancy, and ensuring data is always up-to-date without the need for synchronization processes. Live connections are particularly useful for real-time or near-real-time data analysis and reporting, providing insights based on the most current data available without the overhead of data replication.
SAP Analytics Cloud documentation and user guides typically emphasize the benefits and use cases of live connections, highlighting how they maintain data in the source system to ensure real-time data access and analysis.
SAP training materials for Data Analysts using SAP Analytics Cloud, including study guides and official certification resources, explain the technical and practical aspects of live connections, including where data is stored and how it is accessed.
Best practice guides for SAP Analytics Cloud, often available through the SAP Community or SAP Knowledge Base, provide insights and recommendations on setting up and using live connections, reinforcing the concept that data stays in the source system.
NEW QUESTION # 26
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Input controls
- B. Conditional formatting
- C. Linked dimensions
- D. Calculated measures
- E. Charts
Answer: B,D,E
NEW QUESTION # 27
What source system can you connect to with a live connection?
- A. SAP ERP Central Component
- B. SAP SuccessFactors
- C. SAP Datasphere
- D. SAP Business ByDesign Analytics
Answer: C
Explanation:
SAP Analytics Cloud can establish a live connection with various source systems, including SAP Datasphere. This allows for real-time data access and analysis without the need to replicate data into the cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference:
SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4
Explaining Where the Data Comes From - SAP Learning5
NEW QUESTION # 28
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 overall size of the chart widget on the page
- B. Increase the font size of the axis labels
- C. Select the Avoid Data Label Overlap checkbox
Answer: C
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 # 29
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 distribution
- B. Dis-able allocations
- C. Use two properties
- D. Use two hierarchies
Answer: D
NEW QUESTION # 30
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?
- A. Hierarchy
- B. Granularity
- C. Level
- D. Cardinality
Answer: D
NEW QUESTION # 31
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
- A. Table
- B. Lane
- C. Composite
- D. Chart
Answer: A,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 # 32
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.
- A. Formula bar
- B. Calculation editor
- C. Custom expression editor
- D. Transform bar
Answer: C,D
NEW QUESTION # 33
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.
- A. Use fewer MEMBERSET statements
- B. Use fewer IF statements
- C. Use fewer data functions
- D. Use fewer FOREACH functions
- E. Use fewer aggregation dimension functions
Answer: B,C,D
NEW QUESTION # 34
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A. Drill down on data
- B. Filter data
- C. Create cross-calculation
- D. Input data
Answer: A,B
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 # 35
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