C_SAC_2415 Exams - Exam C_SAC_2415 Tutorial

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SAP C_SAC_2415 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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 4	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 5	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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q56-Q61):

NEW QUESTION # 56
What can you use to organize dimensions into logical categories in a live model?

A. Groups
B. Level-based hierarchy
C. Parent-child hierarchy
D. Value driver tree

Answer: C

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

NEW QUESTION # 57
Which automatically created dimension type can you delete from an analytic data model?

A. Organization
B. Date
C. Version
D. Generic

Answer: D

Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models

NEW QUESTION # 58
You are using a live connection for a model. Where can you define data security?

A. SAP Analytics Cloud role
B. Data access control
C. Source system
D. SAP Analytics Cloud model

Answer: C

Explanation:
When using a live connection in SAP Analytics Cloud, data security is defined and managed within the source system. This approach leverages the existing security protocols and permissions set up in the source system, ensuring that data governance and access controls remain consistent and are centrally managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the same security constraints and permissions as if they were accessing the data directly from the source system. This integration ensures a unified security model, simplifying administration and ensuring data security and compliance.

NEW QUESTION # 59
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 # 60
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 and Children
B. Self and Descendants
C. Self and Siblings
D. Self

Answer: D

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 # 61
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C_SAC_2415 EXAMS - EXAM C_SAC_2415 TUTORIAL

C_SAC_2415 Exams - Exam C_SAC_2415 Tutorial