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NEW QUESTION # 12
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
- A. Lane
- B. Chart
- C. Table
- D. Composite
Answer: B,C
Explanation:
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts
NEW QUESTION # 13
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
- A. Use a dimension hierarchy
- B. Use a calculated member
- C. Use a model converted measure
- D. Use a story calculated measure
Answer: A,B
NEW QUESTION # 14
What can you use to organize dimensions into logical categories in a live model?
- A. Parent-child hierarchy
- B. Level-based hierarchy
- C. Value driver tree
- D. Groups
Answer: A
Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models
NEW QUESTION # 15
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. Calculation editor
- B. Custom expression editor
- C. Transform bar
- D. Formula bar
Answer: B,C
NEW QUESTION # 16
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 # 17
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Data analyzer insight
- B. Standalone dataset
- C. Imported data model
- D. Embedded data set
- E. Live data model
Answer: B,C,D
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 # 18
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Data action
- B. Value lock management
- C. Calendar task
- D. Multi action
Answer: C,D
NEW QUESTION # 19
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.
- A. Use conditional formatting
- B. Load widgets in the background
- C. Use responsive pages
- D. Avaid prompts
- E. Avaid tables with more than 500 rows and 60 columns
Answer: A,B,E
NEW QUESTION # 20
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 parent-child hierarchy in the dataset.
- B. Convert the embedded dataset to a model.
- C. Create a group that includes the dimensions.
- D. Create a level-based hierarchy in the dataset.
Answer: D
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 # 21
You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?
- A. Driver
- B. Distribute
- C. Redistribute
- D. Reference
Answer: A
Explanation:
In the context of creating an allocation step to distribute expenses from the HR cost center to operating cost centers in SAP Analytics Cloud, the "Driver" dimension setting is crucial. This setting determines the basis or criteria on which the distribution is calculated and applied to each operating cost center. For instance, the driver could be the number of employees, square footage, or any other relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation
NEW QUESTION # 22
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 refresh the story that uses the dataset.
- C. You can schedule the dataset to update on a regular basis.
- D. You must manually reimport the data.
Answer: C
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 # 23
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. Schedule the import
- B. Refresh the story
- C. Refresh the import job
- D. Allow model import
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 # 24
In a data model, what can you use to further describe a dimension?
- A. Measure
- B. Data action
- C. Property
- D. Variable
Answer: C
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 # 25
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 # 26
Which SAP Analytics Cloud feature uses natural language processing?
- A. Just Ask feature
- B. Data analyzer
- C. Digital boardroom
- D. Smart insight
Answer: A
NEW QUESTION # 27
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. On-premise
- B. Cloud
- C. Import
- D. Live
Answer: C,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 # 28
What can you use to perform cell-based calculations in a story?
- A. Table formulas
- B. Dimension formulas
- C. Calculated measures
- 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 # 29
What source system can you connect to with a live connection?
- A. SAP ERP Central Component
- B. SAP Datasphere
- C. SAP SuccessFactors
- D. SAP Business ByDesign Analytics
Answer: B
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 # 30
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Implementing row-level and column-level security in a table
- B. Selecting an alternate data source
- C. Changing dimensions or measures displayed in a table
- D. Filtering data on a page
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 # 31
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