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Question #:1
What type of predictive scenario can write back to a planning model?
Regression
Value driver tree
Classification
Time series forecast
Answer: D
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.
References:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning
SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models
Question
#:2
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.
Use fewer MEMBERSET statements
Use fewer FOREACH functions
Use fewer IF statements
Use fewer data functions
Use fewer aggregation dimension functions
Answer: B C D
A.
Question #:3
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.
Custom expression editor
Formula bar
Calculation editor
Transform bar
Answer: A D
Question #:4
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question. Live
Answer: A 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.
References:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios
Question #:5
What can you use to organize dimensions into logical categories in a live model?
A. B. C.
Level-based hierarchy
Groups
Value driver tree
Parent-child hierarchy
Answer: D
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.
References:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies
SAP Analytics Cloud User Guide: Working with Models
Question #:6
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
Input data
Filter data
Drill down on data
Create cross-calculation
Answer: 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.
References:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer
Question #:7
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
Embedded data set
Live data model
Data analyzer insight
Standalone dataset
Imported data model
Answer: 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.
References:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets
Question #:8
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?
Increase the overall size of the chart widget on the page
Select the Avoid Data Label Overlap checkbox
Increase the font size of the axis labels
Answer: B
Explanation
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
References:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management
SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts
Question #:9
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
Calculation
Page Component Story
Answer: B
Explanation
When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
References:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls
SAP Analytics Cloud User Guide: Page-Level Filtering in Stories
Question #:10
What can you use to perform cell-based calculations in a story?
Calculated measures
Dimension formulas
Restricted measures
A. B. C.
D. Table formulas
Answer: D
Explanation
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
References:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories
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