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16. 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: A
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
17. Frage
You are an Appian Analyst.
According to best practices, which other role should you work with to create process models as a part of requirements gathering?
Antwort: D
Begründung:
As an Appian Analyst, collaborating with a Product Owner during the creation of process models is considered best practice. The Product Owner is responsible for defining the requirements and ensuring that the process models align with the business goals and needs. The Product Owner has a deep understanding of the product vision and user stories, which are crucial during the requirements gathering phase.
* Role of Product Owner:
* The Product Owner provides detailed requirements and prioritizes them based on business needs.
* They ensure that the process models being developed accurately reflect the intended business processes and user stories.
* Close collaboration with the Product Owner ensures that the process models are aligned with both the technical and business aspects of the project.
* Why Not Other Options?:
* A. Product Manager: Typically focuses on the overall product strategy and market alignment rather than detailed process modeling.
* C. Architect: While architects provide valuable input on the system's design and architecture, they are not primarily responsible for requirements gathering.
* D. Scrum Master: The Scrum Master facilitates the Agile process but does not directly contribute to defining or modeling business processes.
* References:
* Appian Community Success Guide:The Role of Product Owner in Appian Projects
18. Frage
Consider the below use case:
* A third-party system needs to push information to Appian in real-time.
* The information is processed in Appian and a case ID is returned.
* The third-party system displays the reference case ID on the confirmation screen.
Which integration approach is most suitable?
Antwort: C
Begründung:
The most suitable approach is a web API-based integration because the external system is initiating the transaction and requires an immediate response from Appian. Appian's integration guidance distinguishes directionality: when Appian calls another system, designers configure connected systems and integration objects; when an external system calls Appian, designers use objects such as Web APIs and process models to return a response.
A Web API is designed to expose Appian data and services to outside systems through an endpoint that can receive values through query parameters, headers, request body, or combinations of these. This aligns directly with the scenario: the third-party system pushes data to Appian in real time, Appian processes it, and the API returns a generated case/reference ID. Appian also provides a!httpResponse() specifically for returning HTTP responses from Web APIs, including a body containing values such as the case ID.
An integration object is incorrect because it is primarily for Appian-initiated calls. Message queues are better for asynchronous processing, not immediate confirmation screens. FTP/SFTP is file-based and batch-oriented.
Relevant topics: Business Process Modeling, Integration Types, REST/JSON, Web APIs, Connected Systems, and Third-Party Integration Selection .
19. Frage
Which three items are valid example items of a Definition of Ready (DoR)?
Antwort: A,C,E
Begründung:
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 .
20. Frage
Which one of the following Appian object combinations allows you to directly access and use data from the Appian database?
Antwort: A
Begründung:
In Appian, the combination of an expression rule with a query allows you to directly access and use data from the Appian database. Expression rules are used to define business logic, while queries are used to retrieve data from the database.
* Expression Rule with a Query:
* An expression rule can be used to execute a query against the Appian database to retrieve data.
* This combination allows you to filter, sort, and manipulate the data retrieved directly from the database within your application logic.
* Thea!queryEntity()function is commonly used within an expression rule to fetch data from a specific entity in the database.
* Why Not Other Options?:
* A. An expression rule with an integration call: This option is used for retrieving data from external systems, not directly from the Appian database.
* C. A process model that uses an Export to Excel smart service: This is used for exporting data to Excel but does not directly access the database for querying purposes.
* D. An interface object with an integration call: This combination is also used for interfacing with external systems rather than directly accessing the Appian database.
* Implementation in Appian:
* Define an expression rule that usesa!queryEntity()to fetch data from a specific table or view in the Appian database.
* The query can be customized with filters, sorting, and paging to retrieve the exact data needed for the application.
* References:
* Appian Documentation on Expression Rules: Expression Rules in Appian
* Appian Query Entity Function: a!queryEntity() Function
21. Frage
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