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NEW QUESTION # 22
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: D
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 # 23
During which sprint ceremony will your team celebrate things that worked well, and identify specific actions the team may take to improve?
Answer: B
Explanation:
The Retrospective Meeting is the sprint ceremony where the team reflects on the past sprint. The purpose of this meeting is to celebrate things that worked well and identify areas for improvement. The team discusses what went well, what could be improved, and what actions to take in the next sprint to enhance performance.
* Retrospective Meeting Overview:
* The Retrospective occurs at the end of each sprint.
* It is an opportunity for the team to reflect on the sprint's successes and challenges, fostering continuous improvement.
* Why Not Other Options?:
* A. Sprint Planning: Focuses on defining the work for the upcoming sprint, not on reflection.
* B. Sprint Review: Involves demonstrating the work completed during the sprint to stakeholders, not internal reflection.
* C. Daily Stand-up: A brief daily meeting to discuss progress, blockers, and plans, but not for retrospective analysis.
* References:
* Appian Agile Practices Guide: Retrospective Meeting
The Retrospective Meeting is essential for maintaining a healthy Agile process by continuously learning and adapting.
NEW QUESTION # 24
A case management tool needs intelligent and automated routing of many different complex case types, based on free text descriptions from external users.
What is the best way to implement this requirement?
Answer: B
Explanation:
For intelligent and automated routing of complex case types based on free text descriptions, integrating with a Natural Language Processing (NLP) system is the most effective solution. NLP can analyze the free text, understand the context, and categorize the cases based on the content, enabling automated and accurate routing.
* NLP System Integration Overview:
* NLP systems can process and understand human language in text form, identifying key phrases, sentiments, and categories.
* By integrating with an NLP service, Appian can automatically route cases to the appropriate department or user based on the analysis of the text provided by external users.
* This approach reduces the need for manual review and ensures that cases are handled efficiently and accurately.
* Why Not Other Options?:
* A. Manual Review Task: This does not automate the process and relies on human intervention, which can be time-consuming and prone to error.
* B. Find Functions for Keyword Search: This approach is limited to exact matches and lacks the sophistication needed to understand complex language and context.
* C. Translation Service Integration: While useful for language translation, it does not offer the categorization and routing capabilities needed for this use case.
* References:
* Appian Documentation on NLP Integration: NLP in Appian
Integrating an NLP system with Appian ensures that complex cases are categorized and routed with high accuracy, improving the efficiency and effectiveness of case management.
NEW QUESTION # 25
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: A
NEW QUESTION # 26
What are the two best uses for a "Staging" or "Parallel to Prod" environment (separate from Dev, Test, and Prod environments)?
Answer: B,D
Explanation:
A "Staging" or "Parallel to Prod" environment is a crucial part of the software deployment lifecycle. It is used to mirror the Production environment as closely as possible, allowing teams to test new releases and practice deployments without affecting live users.
* Testing Compatibility (B):
* Staging is the ideal environment to ensure that new code releases are compatible with the existing production settings and configurations.
* This helps in identifying any potential issues that could disrupt the live environment before the actual deployment.
* Practicing Deployments (C):
* Staging is also used to rehearse complex production deployments. This practice helps ensure that the deployment process is smooth and that all steps are properly executed without errors.
* It reduces the risk of downtime or issues during the actual production deployment.
* Why Not Other Options?:
* A. Unit Testing Development Stories: Unit testing is typically done in the Dev or Test environments, not in Staging.
* D. Sprint Acceptance Testing: This testing is generally conducted in the Test environment as part of the sprint cycle, not in Staging.
* References:
* Appian Environment Management Guide: Best Practices for Staging Environments Using the Staging environment for compatibility testing and deployment practice ensures a smoother and more reliable transition to Production.
NEW QUESTION # 27
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