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SAP Certified Associate - Data Analyst - SAP Analytics Cloud 試験
最新更新時間: 2026/09/21
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Question No : 1
What type of predictive scenario can write back to a planning model?
正解:
Explanation:
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference: SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning
SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models
Question No : 2
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.
正解:
Question No : 3
Where can you change a data lock status? Note: There are 2 correct answers to this question.
正解:
Question No : 4
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?
正解:
Question No : 5
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?
正解:
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
Question No : 6
What can you do with a multi action? Note: There are 2 correct answers to this question.
正解:
Question No : 7
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?
正解:
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 No : 8
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?
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Question No : 9
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?
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Question No : 10
You are creating a script for an advanced data action.
Which character designates a virtual variable member?
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Question No : 11
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?
正解:
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
Question No : 12
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
正解:
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
Question No : 13
What can you use to organize dimensions into logical categories in a live model?
正解:
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
Question No : 14
You need to delete characters from a column in a dataset.
What can you use? Note: There are 2 correct answers to this question.
正解:
Question No : 15
You have a story based on an import model. The transaction data in the model's data source changes.
How can you update the data in the model? Note: There are 2 correct answers to this question.
正解:
Explanation:
To update the data in a model based on an import connection, two main approaches can be used: Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.