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| Section | Weight | Objectives |
|---|---|---|
| Software Development Lifecycle on Appian | 22% | - Planning, analysis, design, build, test, deploy - Change management and version control - Role of analyst in each phase - Testing strategies and UAT preparation |
| Introduction to the Appian Platform | 24% | - Environments, deployment, governance - Low-code architecture and core concepts - Design objects: Records, Sites, Reports, Interfaces - Agile delivery and application lifecycle |
| User Story Creation | 14% | - Story splitting and prioritization - INVEST criteria and acceptance criteria - Aligning stories to Appian components - Persona-driven design and user experience |
| Requirements Gathering | 20% | - Defining KPIs, SLAs, and Appian-ready specifications - Stakeholder engagement and RACI matrices - Business rules vs process logic - Identifying automation opportunities |
| Business Process Modeling | 20% | - Designing for maintainability and scalability - Swimlanes, events, gateways, sub-processes - Appian Process Modeler best practices - BPMN 2.0 elements and notation |
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11. Frage
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?
Antwort: D
Begründung:
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.
12. Frage
As an Appian Analyst, which two activities are you responsible for during the "Initiate" phase of a project?
Antwort: A,C
Begründung:
Define Personas (C): During the "Initiate" phase, one of the key activities is defining personas. This involves identifying and detailing the different types of users who will interact with the application. Understanding these personas helps ensure that the application meets the needs of all user groups and informs the design and functionality of the system.Appian Documentation - User Personas Plan a Requirement Gathering Approach (D): Planning the requirement gathering approach is another crucial activity in the "Initiate" phase. This step involves determining how requirements will be collected, documented, and validated throughout the project. A well-defined approach ensures that all necessary information is captured early, setting a strong foundation for the development process.Appian Documentation - Requirements Gathering Note: Building the deployment pipeline (A) and conducting sprint reviews (B) are activities typically associated with later phases in the project lifecycle, such as development and delivery.
13. Frage
Which is an accurate statement about application security?
Antwort: D
Begründung:
In Appian, every user who needs to interact with the platform, whether for development, administration, or accessing applications, must have an account. This is a fundamental security measure to ensure that only authorized users can interact with the system.
Appian Security Overview:
Each user account in Appian has specific permissions based on roles, ensuring that users can only access what they are authorized to.
This applies to all levels of interaction, from basic users to administrators and developers.
Why Not Other Options?:
A . Incorrect, as even basic users require accounts to access applications.
C and D . Incorrect, as they suggest that certain actions can be performed without an account, which is not the case.
References:
Appian Security Guide: User Management and Security
Ensuring that all users have accounts is a critical aspect of maintaining security and control within the Appian environment.
14. Frage
Review the following project phase definition:
"A standardized agreement between Development Team and the Product Owner on what criteria a user story must meet in order for the team to consider it complete." Which option does this definition apply to?
Antwort: C
Begründung:
The "Definition of Done" (DoD) refers to a shared understanding between the Development Team and the Product Owner on the criteria that a user story must meet to be considered complete. This definition helps ensure that all aspects of the user story are fully developed, tested, and meet the agreed-upon standards before being marked as done.
Definition of Done Overview:
DoD includes all conditions that must be satisfied for the work to be accepted by the product owner.
It typically covers code completion, testing, documentation, and any other activities required to deliver a finished product.
Why Not Other Options?:
A . Acceptance Criteria: Defines specific requirements that a user story must meet, but does not encapsulate the broader checklist for completion.
B . Value Statement: Describes the value delivered by a feature, not the criteria for completion.
C . Definition of Ready (DoR): Refers to when a user story is ready to be taken into a sprint, not when it is complete.
References:
Appian Community Success Guide: Definition of Done in Agile Projects
The Definition of Done ensures that the product increment is fully functional, tested, and ready for deployment, maintaining a high standard of quality.
15. Frage
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?
Antwort: D
Begründung:
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
16. Frage
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