PASS GUARANTEED QUIZ C_SAC_2421 - SAP CERTIFIED ASSOCIATE - DATA ANALYST - SAP ANALYTICS CLOUD LATEST PRACTICE ONLINE

Pass Guaranteed Quiz C_SAC_2421 - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Latest Practice Online

Pass Guaranteed Quiz C_SAC_2421 - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Latest Practice Online

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SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q27-Q32):

NEW QUESTION # 27
What source system can you connect to with a live connection?

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

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 # 28
Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.

  • A. Standalone
  • B. Planning
  • C. Embedded
  • D. Analytic

Answer: B,D


NEW QUESTION # 29
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

  • A. Use two properties
  • B. Dis-able allocations
  • C. Dis-able distribution
  • D. Use two hierarchies

Answer: D

Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning


NEW QUESTION # 30
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. Includes the Year measure in a level-based time hierarchy in the dataset.
  • D. Change the Year measure to a dimension in the dataset.

Answer: D

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 # 31
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Dimensions
  • B. Measures
  • C. Calculations
  • D. Hierarchies

Answer: A,B

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 # 32
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