C_SAC_2402 Practice Exam Questions with Answers SAP Certified Associate - Data Analyst - SAP Analytics Cloud Certification

Version management in SAP Analytics Cloud stories requires a Planning model. This feature enables users to create and manage different versions of their data, such as budget, forecast, and actual versions. Planning models provide the necessary structure and functionality for versioning, allowing for comparisons and what-if analyses within the story.

References:

• SAP Analytics Cloud Help Documentation: Version Management in Planning
• SAP Analytics Cloud User Guide: Using Planning Models for Versioning

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.

References:

• SAP Analytics Cloud Help Documentation: Planning Data Model Basics
• SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models

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.

References:

• SAP Analytics Cloud Help Documentation: Hierarchies in Planning
• SAP Analytics Cloud User Guide: Managing Hierarchies for Planning

To retain column headers visible when scrolling down in a long table in SAP Analytics Cloud, you should enable "Keeping member names visible" and use the "Freeze Up to row" feature. "Keeping member names visible" ensures that headers remain on the screen as you scroll, while "Freeze Up to row" allows you to specify how many top rows (including the headers) remain fixed during vertical scrolling, enhancing table readability.

References:

• SAP Analytics Cloud Help Documentation: Table Configuration and Customization
• SAP Analytics Cloud User Guide: Enhancing Table Navigation and Readability

To total several income and expense accounts using the account type property, the "Aggregate To" configuration option in the advanced formula must be used. This option allows you to aggregate data based on a specific dimension or property within your model, such as the account type. By using "Aggregate To," you can sum up the values of various income and expense accounts into broader categories, facilitating more high-level financial analysis and reporting.

References:

• SAP Analytics Cloud Help Documentation: Advanced Formulas and Calculations
• SAP Analytics Cloud User Guide: Aggregating Data Using Account Properties

In a Value Driver Tree (VDT) within SAP Analytics Cloud, node relationships can be determined using a dimension hierarchy and story calculated measures. A dimension hierarchy helps to visually represent and navigate the relationships between various nodes in a structured manner, reflecting the logical and hierarchical relationships inherent in the data. Story calculated measures allow for the creation of custom calculations that can define the relationships between nodes in terms of mathematical or logical operations, providing a dynamic way to analyze how changes in one node might affect others.

References:

• SAP Analytics Cloud Help Documentation: Value Driver Trees
• SAP Analytics Cloud User Guide: Working with Dimension Hierarchies and Calculated Measures in VDT

Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.

References:

• SAP Analytics Cloud Help Documentation: Improving Story Performance
• SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance

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 viewof the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.

References:

• SAP Analytics Cloud Help Documentation: Working with Datasets
• SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets

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.

References:

• SAP Analytics Cloud Help Documentation: Private Versions and Publishing
• SAP Analytics Cloud User Guide: Working with Private Versions in Stories

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.

References:

• SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
• SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance

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.

References:

• SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
• SAP Analytics Cloud User Guide: Using Drivers for Allocation

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.

References:

• SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
• SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources

In SAP Analytics Cloud, to delete characters from a column in a dataset, you can use both the Custom Expression Editor and the Calculation Editor. The Custom Expression Editor allows you to create complex calculations and manipulations of your data using a wide range of functions, including those that can remove characters from strings. Similarly, the Calculation Editor offers functionalities for creating calculated columns where you can apply expressions to modify or remove characters from existing data fields. Both these features provide the flexibility to cleanse and transform your data as per your analysis requirements.

References:

• SAP Analytics Cloud Help Documentation: Custom Calculations and Expressions
• SAP Analytics Cloud User Guide: Data Preparation and Modeling