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NEW QUESTION # 11
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.
- A. Add a custom widget
- B. Add a popup
- C. Add JavaScript to a button
- D. Add a layer to a geo map
Answer: B,C
NEW QUESTION # 12
You are using a live connection for a model. Where is the data stored?
- A. Source system
- B. Public dataset
- C. Embedded data set
- D. SAP Analytics Cloud model
Answer: A
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 # 13
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 # 14
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
- A. Component
- B. Story
- C. Page
- D. Calculation
Answer: C
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 # 15
Where can you create a blank planning version?
- A. In a data cell
- B. In version management
- C. In the planning model
- D. In the version dimension
Answer: B
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 # 16
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.
- A. Enable Optimize Recommended Planning Area in the model.
- B. Enable unbooked data in the story.
- C. Set Size Limits for Planning Performance in the model.
- D. Select fluid data entry mode in the story.
Answer: A,D
NEW QUESTION # 17
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. Live
- D. Cloud
Answer: B,C
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 # 18
What source system can you connect to with a live connection?
- A. SAP SuccessFactors
- B. SAP Business ByDesign Analytics
- C. SAP Datasphere
- D. SAP ERP Central Component
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 # 19
You are creating a styling rule for a table. What is the context?
- A. The location of the cursor
- B. The most granular level in the table
- C. The highest level in the table
- D. The table header
Answer: A
NEW QUESTION # 20
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Difference From
- B. Date Difference
- C. Restricted Measure
- D. Aggregation
Answer: A,C
NEW QUESTION # 21
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 # 22
You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?
- A. Self
- B. Self and Children
- C. Self and Descendants
- D. Self and Siblings
Answer: A
Explanation:
To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the "Self" level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options
NEW QUESTION # 23
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. Group the Firstname and Lastname in the data model.
- B. Create the combined data in the source system.
- C. Create a calculated dimension in the story.
- D. Create a calculated dimension in the data model.
Answer: D
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 # 24
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. Python
- B. JavaScript
- C. Wrangling Expression Language
- D. ABAP
Answer: B
NEW QUESTION # 25
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. Single
- B. Mass
- C. Fluid
Answer: C
NEW QUESTION # 26
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. Level
- B. Granularity
- C. Hierarchy
- D. Cardinality
Answer: D
NEW QUESTION # 27
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 allocations
- C. Use two hierarchies
- D. Dis-able distribution
Answer: C
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 # 28
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