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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Requirements Gathering | 20% | - Identifying automation opportunities - Defining KPIs, SLAs, and Appian-ready specifications - Stakeholder engagement and RACI matrices - Business rules vs process logic |
| Topic 2: User Story Creation | 14% | - Aligning stories to Appian components - INVEST criteria and acceptance criteria - Persona-driven design and user experience - Story splitting and prioritization |
| Topic 3: Software Development Lifecycle on Appian | 22% | - Testing strategies and UAT preparation - Planning, analysis, design, build, test, deploy - Role of analyst in each phase - Change management and version control |
| Topic 4: Introduction to the Appian Platform | 24% | - Environments, deployment, governance - Design objects: Records, Sites, Reports, Interfaces - Low-code architecture and core concepts - Agile delivery and application lifecycle |
| Topic 5: Business Process Modeling | 20% | - Designing for maintainability and scalability - BPMN 2.0 elements and notation - Appian Process Modeler best practices - Swimlanes, events, gateways, sub-processes |
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NEW QUESTION # 16
The order management team receives orders via different channels, including email. Emails are accompanied by attachments containing the details of the order information. The team reviews the emails and attachments for clarity. Then, they extract the order specifics to create a customer record in their Customer Relationship Management (CRM) platform and an order in their Order Management System (OMS).
What is the most effective form of automation to help increase fulfillment efficiency in this process?
Answer: D
Explanation:
The most effective form of automation to increase fulfillment efficiency in this process is using trained artificial intelligence (AI) to extract order data information from the emails and attachments. AI can be trained to recognize and extract key details such as customer names, order numbers, and product information directly from the content of the emails and attachments. This automation significantly reduces the manual effort required to review and input data, thereby speeding up the order processing time and reducing the chance of errors.Appian Documentation - AI and Automation Capabilities Note: The other options (B, C, D) provide minimal automation and would still require significant manual intervention, which does not effectively enhance fulfillment efficiency.
NEW QUESTION # 17
An agile team has a user story at the top of its backlog. It reads:
"As a Hiring Manager, I want to be able to filter all of the candidates who have applied to my department's job posting in the last week so that I can schedule interviews for the qualified candidates." This story does not meet the team's Definition of Ready (DoR) as filter criteria are being determined.
What is the status for this user story?
Answer: C
Explanation:
The status of the user story is Pending because it does not yet meet the team's Definition of Ready (DoR). The filter criteria, which are critical to the functionality described in the user story, have not been fully determined. Until this information is clarified, the story cannot be considered ready for development or any subsequent phases like QA.Appian Documentation - User Stories and Definitions of Ready Note: The user story cannot be marked as Done (A), Ready for Development (B), or Ready for QA (D) because it lacks critical details needed for development to proceed.
NEW QUESTION # 18
Which Appian object's primary purpose is to define the structure of related data for use in a process model?
Answer: D
Explanation:
A Custom Data Type (CDT) in Appian is primarily used to define the structure of related data. It represents a structured data type composed of multiple fields, and it is often used in process models to define the shape of data that will be passed between different activities or stored in the database.
Custom Data Type (CDT) Overview:
CDTs allow developers to define a complex data structure that can include various data types, such as text, numbers, dates, and even nested CDTs.
They are essential for passing structured data within a process model and between Appian applications and external systems.
Why Not Other Options?:
B . Record: Used to represent a view of data from an external or internal source, focusing on displaying and interacting with that data rather than defining its structure.
C . Constant: Stores a fixed value that can be used throughout the application, but it does not define complex data structures.
D . Expression Rule: Encapsulates logic and calculations but does not define data structures.
References:
Appian Documentation on Custom Data Types: Custom Data Types (CDT)
Using CDTs ensures that the data used within process models is structured and consistent, enabling robust data handling across the application.
NEW QUESTION # 19
A customer wants to automate a workflow for completing customer service cases. The high-level workflow involves multiple rounds of recording investigation results, uploading related documents, sending communications, and approving. Activities may need to be done at any time or out of order.
Which recommendation best utilizes the strengths of Appian out-of-the-box features to address this use case?
Answer: D
Explanation:
A records-centric design is the best approach to address this use case in Appian. This design allows users to interact with data through a central record type, with related actions enabling them to perform tasks like uploading documents, sending communications, and approving cases at any time or out of order.
Records-Centric Design:
This approach centralizes all related data and actions around a specific record type.
Users can trigger related actions such as document uploads or approvals directly from the record, ensuring flexibility and a user-friendly interface.
Why Not Other Options?:
A and B. Reports and dashboards are useful for visualizing data but are not as flexible for handling the ad-hoc and out-of-order activities described.
C . A sequential workflow is too rigid for a process where tasks need to be done out of order.
References:
Appian Documentation on Records: Records in Appian
Appian Community Success Guide: Designing Record-Centric Applications
A records-centric approach leverages Appian's strengths, providing a flexible and intuitive solution for complex workflows.
NEW QUESTION # 20
A team of employees manages invoice processing and payments for their organization.
Each day, the team receives invoices via email. The team reviews the invoices, sends payments, and logs the payments manually in a shared spreadsheet.
Where is the best opportunity for automation in this manual process?
Answer: B
Explanation:
The best opportunity for automation in the manual process described is to leverage Optical Character Recognition (OCR) and workflow tools. OCR can automatically extract data from the invoices received via email, and the workflow tools can automate the review process, checking the data for accuracy, processing payments, and prompting employees only when exceptions are found.
OCR and Workflow Tools Overview:
OCR technology converts the text in scanned documents or images into machine-readable data, which can be automatically processed.
Workflow tools in Appian can then route the extracted data through a series of steps, automating tasks like data entry, validation, and payment processing.
Automating these steps reduces manual effort, minimizes errors, and ensures that invoices are processed more efficiently.
Why Not Other Options?:
A . Robotic Process Automation (RPA) for thank you messages: This is a less critical part of the process and does not significantly reduce manual work.
B . Creating a task for manual input: This still involves manual data entry, which does not fully utilize automation potential.
C . Macro in the shared spreadsheet: This provides minimal automation and doesn't address the root of the problem, which is manual data entry.
References:
Appian Documentation on OCR Integration: OCR in Appian
Appian Workflow Automation Guide: Automating Processes in Appian
By using OCR and workflow tools, the organization can significantly reduce manual processing time and increase the accuracy of invoice handling.
NEW QUESTION # 21
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