C-SAC-2501 Free Certification Exam Easy to Download PDF Format 2025 [Q27-Q45]

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C-SAC-2501 Free Certification Exam Easy to Download PDF Format 2025

Get 100% Success with Latest SAP Certified Associate C-SAC-2501 Exam Dumps


SAP C-SAC-2501 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.
Topic 2
  • Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.
Topic 3
  • Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.
Topic 4
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 5
  • Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.

 

NEW QUESTION # 27
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. Enable Keeping member names visible
  • C. Freeze Up to column
  • D. Freeze Up to row

Answer: C,D


NEW QUESTION # 28
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 HANA view
  • B. SAP Datasphere model
  • C. SAP BusinessObjects Universe
  • D. SAP Analytics Cloud analytic model
  • E. SAP Analytics Cloud public dataset

Answer: A,B,D


NEW QUESTION # 29
Which SAP Analytics Cloud feature uses natural language processing?

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

Answer: B


NEW QUESTION # 30
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 allocations
  • B. Dis-able distribution
  • C. Use two hierarchies
  • D. Use two properties

Answer: C

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 # 31
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. Save
  • B. Nothing
  • C. Send
  • D. Publish

Answer: D

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 # 32
What must you use to transform data in a dataset using if/then/else logic?

  • A. Transform bar
  • B. Custom expression editor
  • C. Calculations editor
  • D. Formula bar

Answer: B

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 # 33
What can you use to organize dimensions into logical categories in a live model?

  • A. Groups
  • B. Parent-child hierarchy
  • C. Value driver tree
  • D. Level-based hierarchy

Answer: B

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 # 34
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

  • A. Forecast
  • B. Budget
  • C. Predictive
  • D. Actual

Answer: A,D


NEW QUESTION # 35
What account types use the average rate type? Note: There are 2 correct answers to this question.

  • A. LEQ
  • B. EXP
  • C. INC
  • D. AST

Answer: B,C


NEW QUESTION # 36
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

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

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 # 37
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. Append
  • D. Aggregate To

Answer: B


NEW QUESTION # 38
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. Granularity
  • B. Hierarchy
  • C. Level
  • D. Cardinality

Answer: D


NEW QUESTION # 39
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 FOREACH functions
  • E. Use fewer IF statements

Answer: C,D,E


NEW QUESTION # 40
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

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

Answer: B,C


NEW QUESTION # 41
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 responsive pages
  • B. Avaid tables with more than 500 rows and 60 columns
  • C. Load widgets in the background
  • D. Avaid prompts
  • E. Use conditional formatting

Answer: B,C,E


NEW QUESTION # 42
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. Stories
  • B. Embedded data sets
  • C. Public datasets
  • D. Source system

Answer: A

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 # 43
You are creating a script for an advanced data action. Which character designates a virtual variable member?

  • A. *
  • B. #
  • C. /
  • D. %

Answer: D


NEW QUESTION # 44
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

  • A. Organization
  • B. Version
  • C. Date
  • D. Entity

Answer: B,C

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 # 45
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