NEW C_SAC_2421 EXAM BOOTCAMP & TRUSTWORTHY C_SAC_2421 PRACTICE

New C_SAC_2421 Exam Bootcamp & Trustworthy C_SAC_2421 Practice

New C_SAC_2421 Exam Bootcamp & Trustworthy C_SAC_2421 Practice

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SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q23-Q28):

NEW QUESTION # 23
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

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

Answer: C,D


NEW QUESTION # 24
Where can you change a data lock status? Note: There are 2 correct answers to this question.

  • A. Value lock management
  • B. Calendar task
  • C. Data action
  • D. Multi action

Answer: B,D


NEW QUESTION # 25
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

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

Answer: A,B,E


NEW QUESTION # 26
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

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

Answer: C,D


NEW QUESTION # 27
Which automatically created dimension type can you delete from an analytic data model?

  • A. Organization
  • B. Version
  • C. Date
  • 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 # 28
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