Prepare Important Exam with C_SAC_2415 Exam Dumps(2024) [Q16-Q31]

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Prepare Important Exam with C_SAC_2415 Exam Dumps(2024) 

Pass Exam Questions Efficiently With C_SAC_2415 Questions

NEW QUESTION # 16
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

  • A. Imported data model
  • B. Live data model
  • C. Embedded data set
  • D. Data analyzer insight
  • E. Standalone dataset

Answer: A,C,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 # 17
Which programming language is used for scripting in an SAP Analytics Cloud story?

  • A. ABAP
  • B. JavaScript
  • C. Python
  • D. Wrangling Expression Language

Answer: B


NEW QUESTION # 18
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

  • A. Use a model converted measure
  • B. Use a calculated member
  • C. Use a story calculated measure
  • D. Use a dimension hierarchy

Answer: B,D


NEW QUESTION # 19
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 can schedule the dataset to update on a regular basis.
  • B. You must refresh the story that uses the dataset.
  • C. You must create a new dataset.
  • D. You must manually reimport the data.

Answer: A

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 # 20
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. Source system
  • B. Embedded data sets
  • C. Stories
  • D. Public datasets

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 # 21
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

  • A. Chart
  • B. Composite
  • C. Table
  • D. Lane

Answer: A,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 # 22
How can you limit the refresh time of a story?

  • A. Implement a value driver tree
  • B. Create calculated measures
  • C. Use canvas pages
  • D. Collapse the hierarchy

Answer: D

Explanation:
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.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance


NEW QUESTION # 23
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. Distribute
  • B. Driver
  • C. Redistribute
  • D. Reference

Answer: B

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 # 24
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 # 25
Which dimension type can you use like a measure?

  • A. Date
  • B. Organization
  • 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 # 26
You are using a live connection for a model. Where is the data stored?

  • A. SAP Analytics Cloud model
  • B. Embedded data set
  • C. Source system
  • D. Public dataset

Answer: C

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 # 27
You are entering values for several expense accounts in a data table. Which data entry mode must you use to process the data with a delay defined in System Administration?

  • A. Fluid
  • B. Single
  • C. Mass

Answer: A


NEW QUESTION # 28
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 level-based hierarchy in the dataset.
  • B. Create a group that includes the dimensions.
  • C. Create a parent-child hierarchy in the dataset.
  • D. Convert the embedded dataset to a model.

Answer: A

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 # 29
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. Aggregate To
  • C. Append
  • D. Signflip

Answer: D


NEW QUESTION # 30
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

  • A. Add a custom widget
  • B. Add JavaScript to a button
  • C. Add a layer to a geo map
  • D. Add a popup

Answer: B,D


NEW QUESTION # 31
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SAP C_SAC_2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
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
  • 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 5
  • 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.

 

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