2025 NEWEST BRAINDUMP C_SAC_2421 PDF | 100% FREE VALID C_SAC_2421 DUMPS

2025 Newest Braindump C_SAC_2421 Pdf | 100% Free Valid C_SAC_2421 Dumps

2025 Newest Braindump C_SAC_2421 Pdf | 100% Free Valid C_SAC_2421 Dumps

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SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
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
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q33-Q38):

NEW QUESTION # 33
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

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

Answer: B,C


NEW QUESTION # 34
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: A,B

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 # 35
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 allocations
  • C. Dis-able distribution
  • 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 # 36
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

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

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 # 37
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. Source system
  • B. Public datasets
  • C. Embedded data sets
  • 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 # 38
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