
[Oct-2024] C_SAC_2415 exam torrent SAP study guide
Use Valid New C_SAC_2415 Test Notes & C_SAC_2415 Valid Exam Guide
SAP C_SAC_2415 Exam Syllabus Topics:
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NEW QUESTION # 30
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
- A. Chart
- B. Lane
- C. Table
- D. Composite
Answer: A,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 # 31
Which automatically created dimension type can you delete from an analytic data model?
- A. Organization
- B. Generic
- C. Version
- D. Date
Answer: B
Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models
NEW QUESTION # 32
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
- A. Use a story calculated measure
- B. Use a calculated member
- C. Use a model converted measure
- D. Use a dimension hierarchy
Answer: B,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 aggregation dimension functions
- B. Use fewer IF statements
- C. Use fewer FOREACH functions
- D. Use fewer MEMBERSET statements
- E. Use fewer data functions
Answer: B,C,E
NEW QUESTION # 34
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?
- A. Insert a character into the Year measure using the transform bar.
- B. Includes the Year measure in a level-based time hierarchy in the dataset.
- C. Change the Year measure to a dimension in the dataset.
- D. Add the month as a suffix to the Year measure.
Answer: C
Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.
NEW QUESTION # 35
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?
- A. Save
- B. Send
- C. Nothing
- D. Publish
Answer: D
Explanation:
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories
NEW QUESTION # 36
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
- A. SAP BusinessObjects Universe
- B. SAP Analytics Cloud analytic model
- C. SAP Datasphere model
- D. SAP HANA view
- E. SAP Analytics Cloud public dataset
Answer: B,C,D
NEW QUESTION # 37
What source system can you connect to with a live connection?
- A. SAP Datasphere
- B. SAP Business ByDesign Analytics
- C. SAP SuccessFactors
- D. SAP ERP Central Component
Answer: A
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 # 38
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?
- A. Create a parent-child hierarchy in the dataset.
- B. Create a level-based hierarchy in the dataset.
- C. Convert the embedded dataset to a model.
- D. Create a group that includes the dimensions.
Answer: B
Explanation:
To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies
NEW QUESTION # 39
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 # 40
You are entering values for several expense accounts in a data table. Which data entry mode must you use to process the data with a delay defined in System Administration?
- A. Fluid
- B. Single
- C. Mass
Answer: A
NEW QUESTION # 41
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Approve data
- B. Run allocation processes
- C. Run allocation data actions
- D. Import transaction data
Answer: C,D
NEW QUESTION # 42
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.
- A. Add a popup
- B. Add a layer to a geo map
- C. Add a custom widget
- D. Add JavaScript to a button
Answer: A,D
NEW QUESTION # 43
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Dimensions
- B. Calculations
- C. Hierarchies
- D. Measures
Answer: A,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 # 44
Where can you create a blank planning version?
- A. In a data cell
- B. In the planning model
- C. In the version dimension
- D. In version management
Answer: D
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 # 45
You want to save your data analyzer result. What is it saved as?
- A. Model
- B. Story
- C. Dataset
- D. Insight
Answer: D
NEW QUESTION # 46
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. Granularity
- B. Cardinality
- C. Level
- D. Hierarchy
Answer: B
NEW QUESTION # 47
What is required to use version management in a story?
- A. Classic mode
- B. Optimized mode
- C. Planning model
- D. Analytic model
Answer: C
Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning
NEW QUESTION # 48
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 # 49
In a data model, what can you use to further describe a dimension?
- A. Measure
- B. Variable
- C. Property
- D. Data action
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 # 50
You are creating a script for an advanced data action. Which character designates a virtual variable member?
- A. *
- B. #
- C. %
- D. /
Answer: D
NEW QUESTION # 51
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
- A. Predictive
- B. Forecast
- C. Actual
- D. Budget
Answer: C,D
NEW QUESTION # 52
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 hierarchies
- C. Use two properties
- D. Dis-able distribution
Answer: B
NEW QUESTION # 53
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Input controls
- B. Calculated measures
- C. Charts
- D. Conditional formatting
- E. Linked dimensions
Answer: B,C,D
NEW QUESTION # 54
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