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NEW QUESTION # 34
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?
- A. Unbooked
- B. Signflip
- C. Aggregate To
- D. Append
Answer: B
NEW QUESTION # 35
What is required to use version management in a story?
- A. Classic mode
- B. Planning model
- C. Optimized mode
- D. Analytic model
Answer: B
Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning
NEW QUESTION # 36
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.
- A. Refresh the story
- B. Schedule the import
- C. Allow model import
- D. Refresh the import job
Answer: A,B
Explanation:
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.
NEW QUESTION # 37
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Linked widgets diagram
- B. Grid pages
- C. Composites
- D. Undo button
- E. Explorer
Answer: A,C,D
NEW QUESTION # 38
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: A,D
NEW QUESTION # 39
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Live
- B. Import
- C. Cloud
- D. On-premise
Answer: A,B
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 # 40
What must you use to transform data in a dataset using if/then/else logic?
- A. Custom expression editor
- B. Calculations editor
- C. Formula bar
- D. Transform bar
Answer: A
Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation
NEW QUESTION # 41
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Imported data model
- B. Embedded data set
- C. Live data model
- D. Data analyzer insight
- E. Standalone dataset
Answer: A,B,E
Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets
NEW QUESTION # 42
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. Use two hierarchies
- C. Dis-able allocations
- D. Dis-able distribution
Answer: B
NEW QUESTION # 43
You want to display differences between measures in a chart. What can you use?
- A. Restricted measure
- B. Reference line
- C. Threshold
- D. Variance
Answer: D
Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance
NEW QUESTION # 44
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. Custom expression editor
- B. Calculation editor
- C. Transform bar
- D. Formula bar
Answer: A,C
NEW QUESTION # 45
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Import transaction data
- B. Run allocation processes
- C. Approve data
- D. Run allocation data actions
Answer: A,D
NEW QUESTION # 46
You are using a live connection for a model. Where is the data stored?
- A. SAP Analytics Cloud model
- B. Public dataset
- 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 # 47
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Hierarchies
- B. Measures
- C. Calculations
- D. Dimensions
Answer: B,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 # 48
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 # 49
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Date
- B. Version
- C. Organization
- D. Entity
Answer: A,B
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 # 50
You want to save your data analyzer result. What is it saved as?
- A. Story
- B. Dataset
- C. Insight
- D. Model
Answer: C
NEW QUESTION # 51
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