C_SAC_2501 ONLINE TRAINING, RELIABLE C_SAC_2501 REAL EXAM

C_SAC_2501 Online Training, Reliable C_SAC_2501 Real Exam

C_SAC_2501 Online Training, Reliable C_SAC_2501 Real Exam

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Tags: C_SAC_2501 Online Training, Reliable C_SAC_2501 Real Exam, Official C_SAC_2501 Practice Test, Pdf C_SAC_2501 Version, C_SAC_2501 Exams Dumps

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Quiz 2025 First-grade SAP C_SAC_2501: SAP Certified Associate - Data Analyst - SAP Analytics Cloud Online Training

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SAP C_SAC_2501 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
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
  • 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 4
  • 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.
Topic 5
  • Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q55-Q60):

NEW QUESTION # 55
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 parent-child hierarchy in the dataset.
  • B. Convert the embedded dataset to a model.
  • C. Create a group that includes the dimensions.
  • D. Create a level-based hierarchy in the dataset.

Answer: D

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 # 56
You are creating a styling rule for a table. What is the context?

  • A. The location of the cursor
  • B. The most granular level in the table
  • C. The highest level in the table
  • D. The table header

Answer: A


NEW QUESTION # 57
You are creating a script for an advanced data action. Which character designates a virtual variable member?

  • A. *
  • B. #
  • C. %
  • D. /

Answer: C


NEW QUESTION # 58
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.

  • A. Refresh the import job
  • B. Schedule the import
  • C. Refresh the story
  • D. Allow model import

Answer: B,C

Explanation:
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.


NEW QUESTION # 59
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

  • A. Use conditional formatting
  • B. Avaid tables with more than 500 rows and 60 columns
  • C. Use responsive pages
  • D. Avaid prompts
  • E. Load widgets in the background

Answer: A,B,E


NEW QUESTION # 60
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