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Exam Dumps C-SIGDA-2403 Free, Latest C-SIGDA-2403 Dumps Pdf

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SAP C-SIGDA-2403 practice test software contains many SAP C-SIGDA-2403 practice exam designs just like the real SAP Certified Associate - Process Data Analyst - SAP Signavio (C-SIGDA-2403) exam. These C-SIGDA-2403 practice exams contain all the C-SIGDA-2403 questions that clearly and completely elaborate on the difficulties and hurdles you will face in the final C-SIGDA-2403 Exam. SAP Certified Associate - Process Data Analyst - SAP Signavio (C-SIGDA-2403) practice test is customizable so that you can change the timings of each session. ValidExam desktop SAP C-SIGDA-2403 practice test questions software is only compatible with windows and easy to use for everyone.

SAP C-SIGDA-2403 Exam Syllabus Topics:

Topic
Details

Topic 1

Business Process Management: There are different areas of business process management. This topic explains those areas and also discusses the process levels and its architecture.

Topic 2

Process Mining: Its primary focus is discussing fundamentals of process mining. Furthermore, the topic explores pointing out the basic data requirements in process mining projects.

Topic 3

Plug & Gain: In this topic, you encounter questions about sub-topics of pain and gain.

Topic 4

SAP Signavio Process Intelligence: To explore and analyze a data set, this section discusses creating an investigation. It also discusses revealing inefficiencies in the process.

Topic 5

SAP Signavio Process Collaboration Hub: By covering this topic, you learn how to navigate through different process information and collaborate with other business users. Lastly, the topic delves into this navigation to share feedback on process content.

Topic 6

SiGNAL: This topic explains how to use SiGNAL as query language. It also discusses how process data and analyze it in more depth.

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SAP Certified Associate - Process Data Analyst - SAP Signavio Sample Questions (Q15-Q20):

NEW QUESTION # 15
What is a Variant in Process Mining?

A. A variant is a set of cases with the same sequence of tasks.
B. A variant is a set of attributes.
C. A variant has different process flows.
D. A variant visualizes all tasks to complete the process.

Answer: A

Explanation:
In Process Mining, a Variant is defined as:
* Option A (A variant is a set of cases with the same sequence of tasks.):This definition accurately captures the essence of what a variant represents in the context of process mining. Variants help in understanding how processes are executed by grouping cases that follow the same sequence of activities or tasks, thus allowing for the analysis of common process flows and identifying deviations or inefficiencies.
References:
* SAP Signavio Process Intelligence User Guide
* "Process Mining: Concepts, Algorithms and Tools" by Wil van der Aalst

NEW QUESTION # 16
What are some capabilities of the QuickModel feature?Note: There are 2 correct answ-ers to this que-stion.

Answer:

Explanation:
A.D

NEW QUESTION # 17
How does Process Mining help companies? Note: There are 2 correct answers to this question.

A. By analyzing user experience and visualizing them in the Collaboration Hub
B. By creating different data views
C. By preparing data that's used when analyzing processes
D. By adapting to rapid changes in the global market and customer expectations

Answer: C,D

Explanation:
Process Mining in SAP Signavio enables companies to gain insights into their actual process execution, supporting data-driven decision-making. The SAP Signavio documentation explains:
* Option A (By preparing data that's used when analyzing processes):Process Mining involves extracting and transforming event log data from source systems, preparing it for analysis touncover process inefficiencies, bottlenecks, or deviations. This data preparation is a core function of Process Mining.
* Option C (By adapting to rapid changes in the global market and customer expectations):By providing visibility into real process performance, Process Mining helps companies identify areas for improvement, enabling them to adapt processes to meet changing market demands and customer needs, such as faster delivery or improved service quality.
* Option B (By analyzing user experience and visualizing them in the Collaboration Hub)is incorrect because user experience analysis is more aligned with Customer Journey Mapping, not Process Mining, which focuses on process execution data.
Reference:SAP Signavio Process Intelligence Documentation, section on "Benefits of Process Mining"; SAP Certified Associate - Process Data Analyst Study Guide, Chapter 5: Process Mining Applications.

NEW QUESTION # 18
Which steps are needed to perform a production by SAP Signavio Plug and Gain analysis? Note: There are 2 correct answers to this question.

A. Load data load from production system to SAP Signavio Process Insights
B. Load process data from SAP Signavio Process Explorer to SAP Signavio Process Intelligence
C. Connect SAP Signavio Process Governance to an ERP system for automatic connection
D. Transfer data from SAP Signavio Process Manager to SAP Signavio Process Intelligence

Answer: A,B

Explanation:
The Plug and Gain analysis in SAP Signavio involves analyzing production system data to identify optimization opportunities. The documentation outlines the necessary steps:
* Exact Extract:"To perform a Plug and Gain analysis:
* Load data from the production system into SAP Signavio Process Insights to analyze real process execution.
* Load predefined process data from SAP Signavio Process Explorer into SAP Signavio Process Intelligence to compare against best practices." (SAP Signavio Process Intelligence User Guide, section on "Plug and Gain Setup").
* Explanation:
* Option A (Load data load from production system to SAP Signavio Process Insights):This is correct as Plug and Gain requires actual process data from production systems (e.g., SAP ERP) to be loaded into Process Insights for analysis. Note: The phrase "data load" appears redundant in the question, likely a typo, but does not affect the meaning.
* Option C (Load process data from SAP Signavio Process Explorer to SAP Signavio Process Intelligence):This is correct because Process Explorer provides predefined process models or best practices that are loaded into Process Intelligence for comparison with actual data.
* Option B (Transfer data from SAP Signavio Process Manager to SAP Signavio Process Intelligence)is incorrect as Process Manager is used for modeling, not providing production data for Plug and Gain.
* Option D (Connect SAP Signavio Process Governance to an ERP system for automatic connection)is incorrect because Process Governance manages workflows, not production data for Plug and Gain analysis.
Reference:SAP Signavio Process Intelligence User Guide, section on "Plug and Gain Setup"; SAP Certified Associate - Process Data Analyst Study Guide, Chapter 4: Plug and Gain Analysis.

NEW QUESTION # 19
What are the typical roles required in Process Mining projects? Note: There are 3 correct answers to this question.

A. Process Owner
B. Project Lead
C. Process Analyst
D. Data & IT Expert
E. Process Manager

Answer: A,C,D

Explanation:
Process Mining projects require a combination of technical, analytical, and process-specific expertise.
According to the SAP Signavio documentation:
* Option A (Data & IT Expert):This role is responsible for extracting and preparing data from source systems, configuring ETL pipelines, and ensuring data quality for Process Mining analysis.
* Option C (Process Analyst):The Process Analyst interprets Process Mining results, identifies improvement opportunities, and translates insights into actionable recommendations.
* Option E (Process Owner):The Process Owner provides domain knowledge, defines analysis objectives, and ensures that Process Mining outcomes align with business goals.
* Option B (Project Lead)is incorrect as, while a project lead may oversee the project, it is not a role specifically required for Process Mining tasks.
Reference:SAP Signavio Process Intelligence Documentation, section on "Roles in ProcessMining Projects"; SAP Certified Associate - Process Data Analyst Study Guide, Chapter 5: Process Mining Team Structure.

NEW QUESTION # 20
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