Practice Free C_SAC_2421 Exam Online Questions
Question #1
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 . Use two properties
- B . Dis-able allocations
- C . Use two hierarchies
- D . Dis-able distribution
Correct Answer: C
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
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
Question #2
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 . Send
- C . Publish
- D . Nothing
Correct Answer: C
C
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
C
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
Question #3
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 . Use conditional formatting
- E . Avaid prompts
Correct Answer: B C D
Question #4
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A . Embedded data set
- B . Live data model
- C . Data analyzer insight
- D . Standalone dataset
- E . Imported data model
Correct Answer: A D E
A 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
A 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
Question #5
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
- A . Use a dimension hierarchy
- B . Use a calculated member
- C . Use a story calculated measure
- D . Use a model converted measure
Correct Answer: A B
Question #6
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A . Input data
- B . Filter data
- C . Drill down on data
- D . Create cross-calculation
Correct Answer: B C
B C
Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis’s relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference: SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer
B C
Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis’s relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference: SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer
Question #7
You have a live data model with two dimensions: Firstname and Lastname. Users want a single dimension in the data model that displays the dimensions as Lastname, Firstname.
What must you do?
- A . Create the combined data in the source system.
- B . Create a calculated dimension in the data model.
- C . Create a calculated dimension in the story.
- D . Group the Firstname and Lastname in the data model.
Correct Answer: B
B
Explanation:
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
Reference: SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices
B
Explanation:
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
Reference: SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices
Question #8
Which dimension type can you use like a measure?
- A . Account
- B . Date
- C . Organization
- D . Entity
Correct Answer: A
A
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
A
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
Question #9
You want to save your data analyzer result.
What is it saved as?
- A . Story
- B . Insight
- C . Dataset
- D . Model
Correct Answer: B
Question #10
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 . Hierarchy
- C . Cardinality
- D . Granularity
Correct Answer: C
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