2024 Current C-SAC-2415 dumps Preparation through Our Practice Test [Q24-Q42]

2024 Current C-SAC-2415 dumps Preparation through Our Practice Test

100% Reliable Microsoft C-SAC-2415 Exam Dumps Test Pdf Exam Material

SAP C-SAC-2415 Exam Syllabus Topics:

Topic	Details
Topic 1	Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
Topic 2	Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 3	Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.
Topic 4	Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 5	Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.

 

NEW QUESTION # 24
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

Answer: 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

NEW QUESTION # 25
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: C,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.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios

NEW QUESTION # 26
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

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

Answer: B,C,E

NEW QUESTION # 27
What must you use to transform data in a dataset using if/then/else logic?

• A. Calculations editor
• B. Custom expression editor
• C. Formula bar
• 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 # 28
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

• A. Use a model converted measure
• B. Use a story calculated measure
• C. Use a calculated member
• D. Use a dimension hierarchy

Answer: C,D

NEW QUESTION # 29
You are creating a script for an advanced data action. Which character designates a virtual variable member?

• A. *
• B. /
• C. %
• D. #

Answer: B

NEW QUESTION # 30
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

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

Answer: C,D

NEW QUESTION # 31
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. Includes the Year measure in a level-based time hierarchy in the dataset.
• B. Add the month as a suffix to the Year measure.
• C. Insert a character into the Year measure using the transform bar.
• D. Change the Year measure to a dimension in the dataset.

Answer: D

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.

NEW QUESTION # 32
What can you do with a multi action? Note: There are 2 correct answers to this question.

• A. Run allocation processes
• B. Approve data
• C. Import transaction data
• D. Run allocation data actions

Answer: C,D

NEW QUESTION # 33
You want to save your data analyzer result. What is it saved as?

• A. Model
• B. Insight
• C. Dataset
• D. Story

Answer: B

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

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

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 can you use to perform cell-based calculations in a story?

• A. Table formulas
• B. Calculated measures
• C. Dimension formulas
• D. Restricted measures

Answer: A

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.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories

NEW QUESTION # 36
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. Granularity
• B. Hierarchy
• C. Level
• D. Cardinality

Answer: D

NEW QUESTION # 37
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. Planning
• B. Embedded
• C. Analytic
• D. Standalone

Answer: A,C

NEW QUESTION # 38
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

• A. Dimensions
• B. Hierarchies
• C. Measures
• D. Calculations

Answer: A,C

Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models

NEW QUESTION # 39
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

• A. Implementing row-level and column-level security in a table
• B. Changing dimensions or measures displayed in a table
• C. Filtering data on a page
• D. Selecting an alternate data source

Answer: B,C

Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction

NEW QUESTION # 40
Which programming language is used for scripting in an SAP Analytics Cloud story?

• A. JavaScript
• B. Wrangling Expression Language
• C. Python
• D. ABAP

Answer: A

NEW QUESTION # 41
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. Embedded data sets
• B. Public datasets
• C. Source system
• D. Stories

Answer: D

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 # 42
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Based on Official Syllabus Topics of Actual SAP C-SAC-2415 Exam: https://drive.google.com/open?id=1Uk86SL1CBoMKzoSo_dlRiZD2M9Qiyb3u