VISUAL C-SAC-2415 CERT EXAM & VALID C-SAC-2415 CRAM MATERIALS

Visual C-SAC-2415 Cert Exam & Valid C-SAC-2415 Cram Materials

Visual C-SAC-2415 Cert Exam & Valid C-SAC-2415 Cram Materials

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Quiz Perfect SAP - Visual C-SAC-2415 Cert Exam

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q35-Q40):

NEW QUESTION # 35
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

  • A. Standalone dataset
  • B. Live data model
  • C. Data analyzer insight
  • D. Embedded data set
  • E. Imported data model

Answer: A,D,E

Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets


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

Answer: B


NEW QUESTION # 37
You want to save your data analyzer result. What is it saved as?

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

Answer: A


NEW QUESTION # 38
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. Convert the embedded dataset to a model.
  • B. Create a parent-child hierarchy in the dataset.
  • C. Create a level-based hierarchy in the dataset.
  • D. Create a group that includes the dimensions.

Answer: C

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 # 39
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Measures
  • B. Hierarchies
  • C. Dimensions
  • 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 # 40
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