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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to the Appian Platform | 24% | - Identify commonly used Appian resources (Appian Community, playbook, help documentation) - Design the user experience (in collaboration with the development team) - Describe common Appian use cases (platform capabilities) - Differentiate between Appian Designer, Appian Process Modeler, and Cloud Database - Identify use cases likely to require third-party components (e.g., DocuSign, Google APIs) - Identify the purpose of each Appian object - Recognize different Appian user experiences - Recognize role-based application security |
| Topic 2: Business Process Modeling | 20% | - Describe the benefits of creating a future state process model with SMEs - Identify different integration types (e.g., JSON REST, SOAP WS, Connected Systems) - Identify automation opportunities from a given process - Specify which nodes would or would not be used in a given scenario - Illustrate the best method to clearly define user roles when creating a process model diagram - Identify common Business Process Model Notation (BPMN) elements - Explain the most common gateway types in the Appian Process Modeler |
| Topic 3: Appian Software Development Lifecycle (SDLC) | 22% | - Recognize the roles and associated responsibilities of team members - Explain the different agile scrum ceremonies - Differentiate between various stages of the Appian SDLC - Evaluate the test scenario before user acceptance testing (UAT) - Identify use cases for various environments - Identify the role of the analyst across all phases of the SDLC (initial, build, release, optimize) - Describe the scrum lifecycle of a user story, including Definition of Done (DoD) and Definition of Ready (DoR) |
| Topic 4: User Story Creation | 14% | - Identify the story status (e.g., Draft, Defined, Done) - Categorize user stories and collect appropriate requirements based on categorization - Explain the different components of a story (e.g., description, acceptance criteria, dependency) - Illustrate the standard user story format - Work with the Product Owner in managing product backlog |
| Topic 5: Requirements Gathering | 20% | - Translate business needs into Appian-specific requirements - Identify and manage requirement dependencies and constraints - Identify key stakeholders and their roles in the requirements process - Document and validate business requirements - Describe techniques for eliciting requirements (interviews, workshops, observation) |
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NEW QUESTION # 46
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: A
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 # 47
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: C
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 # 48
You need to draft user stories.
What are the three most important requirements to collect?
Answer: A,B,C
Explanation:
When drafting user stories, the most important requirements to collect are those that directly impact the functionality, security, and user experience of the application. These elements ensure that the application not only meets the user's needs but also adheres to best practices in development.
Security (A):
Ensuring that the application is secure is paramount. Security requirements define how user data is protected and how access is controlled within the system.
This includes authentication, authorization, data encryption, and compliance with relevant regulations.
Process Workflow Steps (B):
Understanding the specific steps involved in the process is crucial for accurately capturing how the application should function.
Detailed workflow steps ensure that the application automates and supports the business process as intended.
User Experience (E):
The user experience (UX) defines how users interact with the application, including the interface design, ease of use, and overall satisfaction.
Capturing UX requirements ensures that the application is intuitive and meets the users' needs.
Why Not Other Options?:
C . Report Filters: While important, they are more specific to reporting functionality and not always a core component of every user story.
D . Branding: Branding requirements are typically considered during the design phase, but they are less critical in the functional drafting of user stories.
References:
Appian Documentation on Gathering Requirements: Requirements Gathering in Appian Focusing on security, process workflow, and user experience ensures that the application is robust, effective, and user-friendly.
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NEW QUESTION # 49
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: D
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 # 50
Which Appian component would you use to display a large amount of data in a user-friendly, interactive way?
Answer: A
NEW QUESTION # 51
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