(2024) PASS C-SAC-2415 Exam Free Practice Test with 100% Accurate Answers
C-SAC-2415 dumps Free Test Engine Verified By It Certified Experts
SAP C-SAC-2415 Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
| Topic 5 |
|
NEW QUESTION # 25
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.
- A. Use fewer aggregation dimension functions
- B. Use fewer MEMBERSET statements
- C. Use fewer IF statements
- D. Use fewer FOREACH functions
- E. Use fewer data functions
Answer: C,D,E
NEW QUESTION # 26
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
- A. Table
- B. Composite
- C. Lane
- D. Chart
Answer: A,D
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 # 27
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. Aggregate To
- B. Append
- C. Unbooked
- D. Signflip
Answer: D
NEW QUESTION # 28
Which automatically created dimension type can you delete from an analytic data model?
- A. Date
- B. Generic
- C. Organization
- D. Version
Answer: B
Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models
NEW QUESTION # 29
How can you limit the refresh time of a story?
- A. Collapse the hierarchy
- B. Use canvas pages
- C. Implement a value driver tree
- D. Create calculated measures
Answer: A
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 # 30
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. Convert the embedded dataset to a model.
- D. Create a parent-child hierarchy in the dataset.
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 # 31
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 analytic model
- B. SAP Analytics Cloud public dataset
- C. SAP BusinessObjects Universe
- D. SAP HANA view
- E. SAP Datasphere model
Answer: A,D,E
NEW QUESTION # 32
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 # 33
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Composites
- B. Grid pages
- C. Explorer
- D. Linked widgets diagram
- E. Undo button
Answer: A,D,E
NEW QUESTION # 34
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Changing dimensions or measures displayed in a table
- B. Filtering data on a page
- C. Selecting an alternate data source
- D. Implementing row-level and column-level security in a table
Answer: A,B
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 # 35
What source system can you connect to with a live connection?
- A. SAP SuccessFactors
- B. SAP Business ByDesign Analytics
- C. SAP ERP Central Component
- D. SAP Datasphere
Answer: D
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 # 36
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.
- A. Avaid tables with more than 500 rows and 60 columns
- B. Load widgets in the background
- C. Use conditional formatting
- D. Use responsive pages
- E. Avaid prompts
Answer: A,B,C
NEW QUESTION # 37
What can you use to organize dimensions into logical categories in a live model?
- A. Level-based hierarchy
- B. Parent-child hierarchy
- C. Groups
- D. Value driver tree
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 # 38
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. On-premise
- B. Import
- C. Cloud
- D. Live
Answer: B,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 # 39
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
- A. Large calculation scope
- B. Many data sources
- C. Many hyperlinks
- D. Complex formatting
- E. Many story filters
Answer: B,D,E
NEW QUESTION # 40
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Import transaction data
- B. Run allocation data actions
- C. Run allocation processes
- D. Approve data
Answer: A,B
NEW QUESTION # 41
......
Latest SAP C-SAC-2415 Practice Test Questions: https://www.passsureexam.com/C-SAC-2415-pass4sure-exam-dumps.html
Realistic C-SAC-2415 Accurate & Verified Answers As Experienced in the Actual Test!: https://drive.google.com/open?id=1k3EP71s1nxoxLVrUJUU6xKgb01x9fJUW