C_SAC_2421 LEARNING MODE & CERTIFICATION C_SAC_2421 EXAM

C_SAC_2421 Learning Mode & Certification C_SAC_2421 Exam

C_SAC_2421 Learning Mode & Certification C_SAC_2421 Exam

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Tags: C_SAC_2421 Learning Mode, Certification C_SAC_2421 Exam, C_SAC_2421 Reliable Braindumps Pdf, C_SAC_2421 Practice Tests, Test C_SAC_2421 Objectives Pdf

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SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 5
  • 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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q11-Q16):

NEW QUESTION # 11
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. Change the Year measure to a dimension in the dataset.
  • B. Insert a character into the Year measure using the transform bar.
  • C. Add the month as a suffix to the Year measure.
  • D. Includes the Year measure in a level-based time hierarchy in the dataset.

Answer: A

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 # 12
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Live
  • B. On-premise
  • C. Import
  • D. Cloud

Answer: A,C

Explanation:
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios


NEW QUESTION # 13
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

  • A. Add a custom widget
  • B. Add a layer to a geo map
  • C. Add JavaScript to a button
  • D. Add a popup

Answer: C,D


NEW QUESTION # 14
In a data model, what can you use to further describe a dimension?

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

Answer: D

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 # 15
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

  • A. Table
  • B. Lane
  • C. Chart
  • D. Composite

Answer: A,C

Explanation:
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts


NEW QUESTION # 16
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