SAP C-SAC-2421 EXAM STUDY SOLUTIONS | C-SAC-2421 RELIABLE EXAM PRICE

SAP C-SAC-2421 Exam Study Solutions | C-SAC-2421 Reliable Exam Price

SAP C-SAC-2421 Exam Study Solutions | C-SAC-2421 Reliable Exam Price

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SAP C-SAC-2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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 5
  • 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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q36-Q41):

NEW QUESTION # 36
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

  • A. Create a Review task for the story
  • B. Include the story in a Discussion
  • C. Add a Comment widget to the story
  • D. Share with View access

Answer: C


NEW QUESTION # 37
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?

  • A. Create a level-based hierarchy in the dataset.
  • B. Convert the embedded dataset to a model.
  • C. Create a parent-child hierarchy in the dataset.
  • D. Create a group that includes the dimensions.

Answer: A

Explanation:
To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies


NEW QUESTION # 38
What can you use to organize dimensions into logical categories in a live model?

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

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 # 39
What source system can you connect to with a live connection?

  • A. SAP Business ByDesign Analytics
  • B. SAP SuccessFactors
  • C. SAP Datasphere
  • D. SAP ERP Central Component

Answer: C

Explanation:
SAP Analytics Cloud can establish a live connection with various source systems, including SAP Datasphere. This allows for real-time data access and analysis without the need to replicate data into the cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference:
SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4
Explaining Where the Data Comes From - SAP Learning5


NEW QUESTION # 40
You want to save your data analyzer result. What is it saved as?

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

Answer: C


NEW QUESTION # 41
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