EXAM C_SAC_2501 BOOTCAMP & C_SAC_2501 PREMIUM FILES

Exam C_SAC_2501 Bootcamp & C_SAC_2501 Premium Files

Exam C_SAC_2501 Bootcamp & C_SAC_2501 Premium Files

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SAP C_SAC_2501 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 2
  • Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.
Topic 3
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 4
  • Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.
Topic 5
  • Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q43-Q48):

NEW QUESTION # 43
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

  • A. Add the month as a suffix to the Year measure.
  • B. Insert a character into the Year measure using the transform bar.
  • C. Change the Year measure to a dimension in the dataset.
  • D. Includes the Year measure in a level-based time hierarchy in the dataset.

Answer: C

Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.


NEW QUESTION # 44
In a data model, what can you use to further describe a dimension?

  • A. Property
  • B. Data action
  • C. Measure
  • D. Variable

Answer: A

Explanation:
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties


NEW QUESTION # 45
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. Create a Review task for the story
  • C. Add a Comment widget to the story
  • D. Share with View access

Answer: D


NEW QUESTION # 46
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. Embedded data sets
  • C. Stories
  • D. Public datasets

Answer: C

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 # 47
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

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

Answer: A,B,D

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 # 48
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