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NEW QUESTION # 15
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 # 16
What type of predictive scenario can write back to a planning model?
- A. Time series forecast
- B. Value driver tree
- C. Classification
- D. Regression
Answer: A
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
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Data action
- B. Calendar task
- C. Value lock management
- D. Multi action
Answer: B,D
NEW QUESTION # 18
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 a calculated dimension in the story.
- B. Create the combined data in the source system.
- C. Create a calculated dimension in the data model.
- D. Group the Firstname and Lastname in the data model.
Answer: C
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 # 19
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. AST
- B. INC
- C. LEQ
- D. EXP
Answer: B,D
NEW QUESTION # 20
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 # 21
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A. Input data
- B. Drill down on data
- C. Create cross-calculation
- D. Filter data
Answer: B,D
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 # 22
Which SAP Analytics Cloud feature uses natural language processing?
- A. Data analyzer
- B. Just Ask feature
- C. Smart insight
- D. Digital boardroom
Answer: C
NEW QUESTION # 23
In a data model, what can you use to further describe a dimension?
- A. Variable
- B. Data action
- C. Measure
- D. Property
Answer: D
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 # 24
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 manually reimport the data.
- B. You can schedule the dataset to update on a regular basis.
- C. You must create a new dataset.
- D. You must refresh the story that uses the dataset.
Answer: B
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 # 25
You want to save your data analyzer result. What is it saved as?
- A. Model
- B. Insight
- C. Story
- D. Dataset
Answer: B
NEW QUESTION # 26
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 group that includes the dimensions.
- B. Create a level-based hierarchy in the dataset.
- C. Create a parent-child hierarchy in the dataset.
- D. Convert the embedded dataset to a model.
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 # 27
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 layer to a geo map
- D. Add a custom widget
Answer: A,B
NEW QUESTION # 28
Which dimension type can you use like a measure?
- A. Organization
- B. Date
- C. Entity
- D. Account
Answer: D
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 # 29
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. 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 # 30
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. Wrangling Expression Language
- B. ABAP
- C. JavaScript
- D. Python
Answer: C
NEW QUESTION # 31
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. Source system
- C. Public datasets
- D. Embedded data sets
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 # 32
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. Component
- D. Story
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 # 33
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Selecting an alternate data source
- B. Implementing row-level and column-level security in a table
- C. Filtering data on a page
- D. Changing dimensions or measures displayed in a table
Answer: C,D
Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction
NEW QUESTION # 34
What is required to use version management in a story?
- A. Planning model
- B. Classic mode
- C. Analytic model
- D. Optimized mode
Answer: A
Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning
NEW QUESTION # 35
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