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NEW QUESTION # 15
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 custom widget
- D. Add a layer to a geo map
Answer: A,B
NEW QUESTION # 16
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
- A. Forecast
- B. Budget
- C. Predictive
- D. Actual
Answer: A,D
NEW QUESTION # 17
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 aggregation dimension functions
- C. Use fewer IF statements
- D. Use fewer FOREACH functions
- E. Use fewer MEMBERSET statements
Answer: A,C,D
NEW QUESTION # 18
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. LEQ
- B. EXP
- C. INC
- D. AST
Answer: B,C
NEW QUESTION # 19
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. Use two properties
- B. Dis-able distribution
- C. Dis-able allocations
- D. Use two hierarchies
Answer: D
Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning
NEW QUESTION # 20
Where can you create a blank planning version?
- A. In the version dimension
- B. In a data cell
- C. In version management
- D. In the planning model
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 # 21
Which SAP Analytics Cloud feature uses natural language processing?
- A. Data analyzer
- B. Smart insight
- C. Digital boardroom
- D. Just Ask feature
Answer: D
NEW QUESTION # 22
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Import
- B. Cloud
- C. On-premise
- D. Live
Answer: A,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 # 23
You are using a live connection for a model. Where can you define data security?
- A. Data access control
- B. SAP Analytics Cloud model
- C. SAP Analytics Cloud role
- D. Source system
Answer: D
Explanation:
When using a live connection in SAP Analytics Cloud, data security is defined and managed within the source system. This approach leverages the existing security protocols and permissions set up in the source system, ensuring that data governance and access controls remain consistent and are centrally managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the same security constraints and permissions as if they were accessing the data directly from the source system. This integration ensures a unified security model, simplifying administration and ensuring data security and compliance.
NEW QUESTION # 24
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. Change the Year measure to a dimension in the dataset.
- B. Add the month as a suffix to the Year measure.
- C. Includes the Year measure in a level-based time hierarchy in the dataset.
- D. Insert a character into the Year measure using the transform bar.
Answer: A
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 # 25
What can you use to perform cell-based calculations in a story?
- A. Calculated measures
- B. Dimension formulas
- C. Table formulas
- D. Restricted measures
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 # 26
You are using a live connection for a model. Where is the data stored?
- A. Public dataset
- B. SAP Analytics Cloud model
- C. Embedded data set
- D. Source system
Answer: D
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 # 27
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
- A. Complex formatting
- B. Many story filters
- C. Many hyperlinks
- D. Large calculation scope
- E. Many data sources
Answer: A,B,E
NEW QUESTION # 28
What type of predictive scenario can write back to a planning model?
- A. Classification
- B. Time series forecast
- C. Value driver tree
- D. Regression
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 # 29
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Conditional formatting
- B. Input controls
- C. Calculated measures
- D. Linked dimensions
- E. Charts
Answer: A,C,E
NEW QUESTION # 30
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.
- A. Enable Keeping member names visible
- B. Freeze Up to row
- C. Enable Auto-Size And Page Table Vertically
- D. Freeze Up to column
Answer: B,D
NEW QUESTION # 31
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
- A. Page
- B. Calculation
- C. Story
- D. Component
Answer: A
Explanation:
When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories
NEW QUESTION # 32
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. Send
- B. Nothing
- C. Publish
- D. Save
Answer: C
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 # 33
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Date
- B. Entity
- C. Version
- D. Organization
Answer: A,C
Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models
NEW QUESTION # 34
The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?
- A. Embedded data sets
- B. Stories
- C. Public datasets
- D. Source system
Answer: B
Explanation:
When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories
NEW QUESTION # 35
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