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C_SAC_2415 Practice Questions

Question # 1
You are using a live connection for a model. Where can you define data security?
A. Source system
B. Data access control
C. SAP Analytics Cloud model
D. SAP Analytics Cloud role


A. Source system

Explanation:

When using a live connection in SAP Analytics Cloud, data security is defined and managed within the source system. This approach leverages the existing security protocols and permissions set up in the source system, ensuring that data governance and access controls remain consistent and are centrally managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the same security constraints and permissions as if they were accessing the data directly from the source system. This integration ensures a unified security model, simplifying administration and ensuring data security and compliance.

Question # 2
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
A. Budget
B. Actual
C. Predictive
D. Forecast


A. Budget
B. Actual


Question # 3
Where can you create a blank planning version?
A. In a data cell
B. In version management
C. In the version dimension
D. In the planning model


B. In version management

A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.

References:

SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning

Question # 4
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?
A. Change the Year measure to a dimension in the dataset.
B. Includes the Year measure in a level-based time hierarchy in the dataset.
C. Insert a character into the Year measure using the transform bar.
D. Add the month as a suffix to the Year measure.


A. Change the Year measure to a dimension in the dataset.

Explanation:

If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.


Question # 5
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.
A. Custom expression editor
B. Formula bar
C. Calculation editor
D. Transform bar


A. Custom expression editor
D. Transform bar


Question # 6
How can you limit the refresh time of a story?
A. Use canvas pages
B. Collapse the hierarchy
C. Create calculated measures
D. Implement a value driver tree


B. Collapse the hierarchy

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.

References:
SAP Analytics Cloud Help Documentation: Improving Story Performance

SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance

Question # 7
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


B. Filter data
C. Drill down on data

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.

References:

SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer

Question # 8
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. Reference
B. Driver
C. Distribute
D. Redistribute


B. Driver

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.

References:

SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation

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SAP C_SAC_2415 Exam Dumps

Exam Name: SAP Certified Associate - Data Analyst - SAP Analytics Cloud
Certification Name: SAP Certified Associate

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  • Total Questions: 60
  • Last Updation Date: 17-Feb-2025

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