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NEW QUESTION # 37
Which dimension type can you use like a measure?
- A. Entity
- B. Account
- C. Date
- D. Organization
Answer: B
Explanation:
In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions
NEW QUESTION # 38
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 properties
- C. Dis-able distribution
- 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 # 39
You are designing a new story. You want the size and position of widgets to adjust dynamically for viewing on different devices and screen sizes. Which page type must you use?
- A. Composite
- B. Canvas
- C. Responsive
- D. Grid
Answer: C
Explanation:
For designing a new story in SAP Analytics Cloud where the size and position of widgets need to adjust dynamically for different devices and screen sizes, the Responsive page type should be used. Responsive pages automatically adapt to the screen size of the device they are viewed on, providing an optimal viewing experience across desktops, tablets, and smartphones.
Reference:
SAP Analytics Cloud Help Documentation: Responsive Design in Stories
SAP Analytics Cloud User Guide: Building Responsive Pages
NEW QUESTION # 40
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Input controls
- B. Conditional formatting
- C. Charts
- D. Linked dimensions
- E. Calculated measures
Answer: B,C,E
NEW QUESTION # 41
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
- A. Budget
- B. Forecast
- C. Predictive
- D. Actual
Answer: B,D
NEW QUESTION # 42
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. Cardinality
- C. Granularity
- D. Hierarchy
Answer: B
NEW QUESTION # 43
What is required to use version management in a story?
- A. Analytic model
- B. Classic mode
- C. Planning model
- D. Optimized mode
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 # 44
You are using a live connection for a model. Where is the data stored?
- A. SAP Analytics Cloud model
- B. Source system
- C. Public dataset
- D. Embedded data set
Answer: B
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 # 45
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 unbooked data in the story.
- D. Enable Optimize Recommended Planning Area in the model.
Answer: B,D
NEW QUESTION # 46
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. Transform bar
- B. Calculation editor
- C. Custom expression editor
- D. Formula bar
Answer: A,C
NEW QUESTION # 47
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 # 48
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. Stories
- B. Embedded data sets
- C. Public datasets
- D. Source system
Answer: A
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 # 49
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Calendar task
- B. Value lock management
- C. Data action
- D. Multi action
Answer: A,D
NEW QUESTION # 50
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 # 51
You are using a live connection for a model. Where can you define data security?
- A. SAP Analytics Cloud model
- B. Data access control
- C. Source system
- D. SAP Analytics Cloud role
Answer: C
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 # 52
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A. Filter data
- B. Input data
- C. Drill down on data
- D. Create cross-calculation
Answer: A,C
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 # 53
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 Analytics Cloud analytic model
- B. SAP Datasphere model
- C. SAP BusinessObjects Universe
- D. SAP Analytics Cloud public dataset
- E. SAP HANA view
Answer: A,B,E
NEW QUESTION # 54
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. JavaScript
- B. ABAP
- C. Wrangling Expression Language
- D. Python
Answer: A
NEW QUESTION # 55
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?
- A. You must create a new dataset.
- B. You must manually reimport the data.
- C. You must refresh the story that uses the dataset.
- D. You can schedule the dataset to update on a regular basis.
Answer: D
Explanation:
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources
NEW QUESTION # 56
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?
- A. Create a Review task for the story
- B. Share with View access
- C. Add a Comment widget to the story
- D. Include the story in a Discussion
Answer: B
NEW QUESTION # 57
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Date Difference
- B. Difference From
- C. Aggregation
- D. Restricted Measure
Answer: B,D
NEW QUESTION # 58
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. Create the combined data in the source system.
- B. Create a calculated dimension in the data model.
- C. Create a calculated dimension in the story.
- D. Group the Firstname and Lastname in the data model.
Answer: B
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 # 59
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
- A. Calculation
- B. Page
- C. Story
- D. Component
Answer: B
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 # 60
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.
- A. Enable Auto-Size And Page Table Vertically
- B. Freeze Up to column
- C. Freeze Up to row
- D. Enable Keeping member names visible
Answer: B,C
NEW QUESTION # 61
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