[Nov 20, 2024] SAP C_SAC_2415 Exam Dumps Are Essential To Get Good Marks

Latest SAP C_SAC_2415 Dumps with Test Engine and PDF (New Questions)

NEW QUESTION # 23
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. Hierarchy
• B. Level
• C. Cardinality
• D. Granularity

Answer: C

NEW QUESTION # 24
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

• A. Enable Optimize Recommended Planning Area in the model.
• B. Set Size Limits for Planning Performance in the model.
• C. Enable unbooked data in the story.
• D. Select fluid data entry mode in the story.

Answer: A,D

NEW QUESTION # 25
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 public dataset
• B. SAP BusinessObjects Universe
• C. SAP Analytics Cloud analytic model
• D. SAP HANA view
• E. SAP Datasphere model

Answer: C,D,E

NEW QUESTION # 26
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 distribution
• B. Dis-able allocations
• C. Use two properties
• 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 # 27
Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.

• A. Analytic
• B. Embedded
• C. Standalone
• D. Planning

Answer: A,D

NEW QUESTION # 28
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

• A. Use fewer MEMBERSET statements
• B. Use fewer aggregation dimension functions
• C. Use fewer data functions
• D. Use fewer IF statements
• E. Use fewer FOREACH functions

Answer: C,D,E

NEW QUESTION # 29
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 # 30
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

• A. Cloud
• B. On-premise
• C. Live
• D. Import

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 # 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. Public datasets
• B. Source system
• C. Stories
• D. Embedded data sets

Answer: C

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
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

• A. Conditional formatting
• B. Calculated measures
• C. Charts
• D. Input controls
• E. Linked dimensions

Answer: A,B,C

NEW QUESTION # 33
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. Live data model
• D. Imported data model
• E. Embedded data set

Answer: B,D,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 # 34
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. Allow model import
• B. Refresh the story
• C. Refresh the import job
• D. Schedule the import

Answer: B,D

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 # 35
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

• A. Include the story in a Discussion
• B. Share with View access
• C. Add a Comment widget to the story
• D. Create a Review task for the story

Answer: C

NEW QUESTION # 36
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 row
• C. Enable Keeping member names visible
• D. Freeze Up to column

Answer: B,D

NEW QUESTION # 37
Which SAP Analytics Cloud feature uses natural language processing?

• A. Digital boardroom
• B. Data analyzer
• C. Smart insight
• D. Just Ask feature

Answer: C

NEW QUESTION # 38
What can you use to perform cell-based calculations in a story?

• A. Dimension formulas
• B. Restricted measures
• C. Table formulas
• D. Calculated measures

Answer: C

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 # 39
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SAP C_SAC_2415 Exam Syllabus Topics:

Topic	Details
Topic 1	Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 2	Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.
Topic 3	Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
Topic 4	Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 5	Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.

 

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