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NEW QUESTION # 19
What is required to use version management in a story?

• A. Classic mode
• B. Analytic model
• C. Planning model
• D. Optimized mode

Answer: C

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

NEW QUESTION # 20
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

• A. Many data sources
• B. Large calculation scope
• C. Many hyperlinks
• D. Many story filters
• E. Complex formatting

Answer: A,D,E

NEW QUESTION # 21
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

• A. Embedded data set
• B. Imported data model
• C. Data analyzer insight
• D. Standalone dataset
• E. Live data model

Answer: A,B,D

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

NEW QUESTION # 22
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

• A. Enable Auto-Size And Page Table Vertically
• B. Enable Keeping member names visible
• C. Freeze Up to row
• D. Freeze Up to column

Answer: C,D

NEW QUESTION # 23
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 distribution
• C. Dis-able allocations
• D. Use two hierarchies

Answer: D

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

NEW QUESTION # 24
What must you use to transform data in a dataset using if/then/else logic?

• A. Formula bar
• B. Custom expression editor
• C. Calculations editor
• D. Transform bar

Answer: B

Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation

NEW QUESTION # 25
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

• A. Difference From
• B. Date Difference
• C. Aggregation
• D. Restricted Measure

Answer: A,D

NEW QUESTION # 26
Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.

• A. Standalone
• B. Embedded
• C. Analytic
• D. Planning

Answer: C,D

NEW QUESTION # 27
You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?

• A. Self
• B. Self and Siblings
• C. Self and Descendants
• D. Self and Children

Answer: A

Explanation:
To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the "Self" level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options

NEW QUESTION # 28
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. Signflip
• B. Unbooked
• C. Aggregate To
• D. Append

Answer: A

NEW QUESTION # 29
The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?

• A. Public datasets
• B. Stories
• C. Embedded data sets
• D. Source system

Answer: B

Explanation:
When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories

NEW QUESTION # 30
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. Mass
• C. Single

Answer: A

NEW QUESTION # 31
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. Distribute
• B. Driver
• C. Redistribute
• D. Reference

Answer: B

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

NEW QUESTION # 32
How can you limit the refresh time of a story?

• A. Collapse the hierarchy
• B. Create calculated measures
• C. Implement a value driver tree
• D. Use canvas pages

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 # 33
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?

• A. You must refresh the story that uses the dataset.
• B. You must create a new dataset.
• C. You must manually reimport the data.
• D. You can schedule the dataset to update on a regular basis.

Answer: D

Explanation:
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources

NEW QUESTION # 34
What type of predictive scenario can write back to a planning model?

• A. Value driver tree
• B. Time series forecast
• C. Classification
• D. Regression

Answer: B

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

NEW QUESTION # 35
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

• A. Cloud
• B. Import
• C. Live
• D. On-premise

Answer: B,C

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 # 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. Use conditional formatting
• B. Load widgets in the background
• C. Avaid prompts
• D. Use responsive pages
• E. Avaid tables with more than 500 rows and 60 columns

Answer: A,B,E

NEW QUESTION # 37
You want to use an input control to filter data appearing in a story. At what level is the filter applied?

• A. Page
• B. Calculation
• C. Component
• D. Story

Answer: A

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.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories

NEW QUESTION # 38
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SAP C_SAC_2421 Exam Syllabus Topics:

Topic	Details
Topic 1	Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.
Topic 2	Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.
Topic 3	Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.
Topic 4	Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.
Topic 5	Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.

 

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