Most Recent SAP C_SAC_2421 Exam Dumps

Prepare for the SAP Certified Associate - Data Analyst - SAP Analytics Cloud exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the SAP C_SAC_2421 exam and achieve success.

The questions for C_SAC_2421 were last updated on Feb 19, 2025.

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Question No. 1

What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers

to this question.

ALive

BOn-premise

CCloud

DImport
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.

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Correct Answer: A, D

SAP Analytics Cloud Help Documentation: Data Connections Overview

SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios

Question No. 2

To which story elements can you apply conditional formatting? Note: There are 2 correct answers to

this question.

ATable

BLane

CChart

DComposite
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.

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Correct Answer: A, C

SAP Analytics Cloud Help Documentation: Conditional Formatting

SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts

Question No. 3

You have a live data model with two dimensions: Firstname and Lastname. Users want a single

dimension in the data model that displays the dimensions as Lastname, Firstname. What must you

do?

ACreate the combined data in the source system.

BCreate a calculated dimension in the data model.

CCreate a calculated dimension in the story.

DGroup the Firstname and Lastname in the data model.
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.

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Correct Answer: B

SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions

SAP Analytics Cloud User Guide: Data Modeling Best Practices

Question No. 4

What can you use to organize dimensions into logical categories in a live model?

ALevel-based hierarchy

BGroups

CValue driver tree

DParent-child hierarchy
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.

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Correct Answer: D

SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies

SAP Analytics Cloud User Guide: Working with Models

Question No. 5

Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

AInput data

BFilter data

CDrill down on data

DCreate cross-calculation
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.

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Correct Answer: B, C

SAP Analytics Cloud Help Documentation: Data Analyzer Usage

SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer

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