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| Section | Weight | Objectives |
|---|---|---|
| Business Process Modeling | 20% | - Appian Process Concepts
|
| Appian Software Development Lifecycle (SDLC) | 22% | - Agile & Delivery Practices
|
| User Story Creation | 14% | - Agile Story Writing
|
| Requirements Gathering | 20% | - Stakeholder Engagement
|
| Introduction to the Appian Platform | 24% | - Platform Usage and Resources
|
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NEW QUESTION # 24
What are two benefits of creating future state process models (or process models-to-be)?
Answer: B,C
Explanation:
Creating future state process models (or process models-to-be) has several benefits, including capturing the high-level product vision and identifying areas where Appian ' s features can introduce automation.
* Capturing High-Level Product Vision and Goals (C) :
* Future state process models help in visualizing the desired end state of a process.
* They provide a clear picture of how the process should function once all enhancements and improvements have been implemented.
* This clarity aligns stakeholders around a common goal and ensures that development efforts are focused on delivering the desired outcomes.
* Identifying Automation Opportunities (D) :
* By modeling the future state, teams can spot manual tasks and inefficiencies that could be automated using Appian ' s features like process modeling, smart services, and RPA.
* This identification helps in streamlining processes and improving overall efficiency.
* Why Not Other Options? :
* A. RPA intervention specifics : While important, RPA specifics are typically captured during the detailed design phase rather than in high-level future state process models.
* B. Integration definitions : These are technical details that are generally documented separately from high-level process models.
:
Appian Process Modeling Guide: Future State Process Models
Appian Automation Opportunities Guide: Identifying Automation in Appian Creating future state models helps in visualizing the end goals and identifying where automation can drive the most value, ensuring that the process improvements are aligned with strategic objectives.
NEW QUESTION # 25
Which three items are valid example items of a Definition of Ready (DoR)?
Answer: A,D,E
Explanation:
The correct DoR examples are A, D, and E because Definition of Ready is concerned with whether a story is sufficiently prepared before the delivery team starts implementation. Appian's certification objectives explicitly include the scrum lifecycle of a user story, including Definition of Ready and Definition of Done .
Appian guidance defines DoR as the criteria a story must meet so the delivery team can begin work or bring it into an iteration.
Acceptance Criteria approved by Product Owner is valid because the team needs agreed scope and success conditions before estimation and development. Integration Specifications attached is valid because integration details, such as web service definitions, requests, responses, and dependencies, remove ambiguity before work begins. Story points estimate completed and added to the user story is also valid because Appian's DoR examples include the story being estimated by the delivery team.
By contrast, Test Cases executed successfully and Peer Review completed occur after implementation and are therefore Definition of Done indicators, not readiness criteria. Relevant topics: Appian SDLC, User Story Lifecycle, Backlog Refinement, Definition of Ready, Definition of Done, and Agile Scrum Ceremonies .
NEW QUESTION # 26
You are part of a project team building an application for organizing and automating an approval process for purchase orders.
Each purchase order requires approvals from multiple users within the application, and these approvals are sequential (for example, User B receives an approval task after the completion of User A ' s approval task).
Your team is responsible for showing the approval step of each purchase order on its purchase order record.
Which Appian interface component should you use to best display the completed, current, and future approval steps for each purchase order?
Answer: C
Explanation:
The Milestone Component in Appian is the best choice for displaying the completed, current, and future approval steps of each purchase order. This component visually represents the progression of a process with distinct milestones, making it ideal for sequential tasks like approvals. Each milestone can indicate whether the step is completed, active, or pending, providing a clear and intuitive view of the approval process for users.
Reference: Appian Documentation - Milestone Component
Note: The Progress Bar Component (A) is more suited for linear progress representation rather than distinct stages. The Gauge Component (B) and Org Chart Component (D) are not appropriate for this type of sequential task display.
NEW QUESTION # 27
The business has requested a requirement that developers say will be difficult to build in Appian.
Which next step should the Appian Analyst take?
Answer: B
NEW QUESTION # 28
An organization wants to automate identification of its dissatisfied customers based on the ticket description and assign the appropriate team to provide a quick resolution.
What is the best way to auto-classify the dissatisfied customers as part of processing?
Answer: A
Explanation:
The organization aims to automate the identification of dissatisfied customers based on the ticket description.
To achieve this, leveraging natural language processing (NLP) capabilities is the most efficient method.
Appian provides connected systems that allow integration with external NLP services. These services can analyze text data (such as ticket descriptions) to determine the sentiment or classify the text into predefined categories (like "dissatisfied customer").
* Natural Language Connected System:
* Appian can integrate with third-party NLP platforms such as Google Cloud Natural Language, AWS Comprehend, or Azure Text Analytics via connected systems.
* These services analyze the text provided in the ticket description to detect sentiment, keywords, or specific categories indicating dissatisfaction.
* Based on the analysis, the system can automatically assign the appropriate team to handle the case.
* Why Not Other Options?:
* B. Decision Table: While decision tables are useful for rule-based decisions, they are not suitable for interpreting unstructured text like ticket descriptions.
* C. Image Analysis Connected System: This option is irrelevant as the task involves text processing, not image analysis.
* D. SAIL Form: SAIL forms are primarily used for user interface creation and are not intended for text analysis or classification.
* Implementation in Appian:
* Create a connected system to integrate with the chosen NLP service.
* Configure the NLP service to analyze the text data and return the sentiment or classification results.
* Based on the results, use process models to route the ticket to the appropriate team for resolution.
* References:
* Appian Documentation on Connected Systems: Appian Connected Systems
* Appian Community Success Guide:Appian Delivery Methodology
* Third-Party NLP Services Integration: Google Cloud NLP Documentation
NEW QUESTION # 29
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