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NEW QUESTION # 15
A company uses multiple Microsoft Copilot Studio agents across different channels.
You need to recommend a monitoring solution that provides comprehensive telemetry data and performance insights for the agents.
What should you include in the recommendation?
- A. Application Insights
- B. Microsoft Dynamics 365 Customer Voice
- C. Azure Advisor
- D. Azure DevOps
Answer: A
Explanation:
To achieve comprehensive monitoring, telemetry, and performance insights for Microsoft Copilot Studio agents across different channels, you should integrate them with Azure Application Insights.
Integrating Application Insights provides a centralized view of agent health, user interactions, topic performance, and latency, which is crucial for monitoring multi-channel deployments.
Reference:
https://learn.microsoft.com/en-us/azure/azure-monitor/app/agents-view
NEW QUESTION # 16
A company uses Microsoft Dynamics 365 Sales to manage leads that are stored in a Microsoft Dataverse table named Lead and use non-standard terminology and custom columns.
You need to configure business terms in the Lead table so that Microsoft Copilot controls can summarize the leads efficiently. The solution must minimize administrative effort.
How should you configure the business terms?
- A. Map the field display names as business terms.
- B. Create new business terms for each field.
- C. Add the schema names as business terms.
- D. Combine all the fields into one custom field.
Answer: A
Explanation:
To configure Microsoft Copilot to efficiently summarize leads with non-standard terminology and custom columns in Microsoft Dynamics 365 Sales, you must map these unique fields to business terms within the Sales AI Glossary in Microsoft Copilot Studio.
Note:
To map your field display names as business terms:
1. Access Copilot Studio: Open Microsoft Copilot Studio and select the environment containing your Dynamics 365 Sales instance.
2. Select the Sales Agent: Navigate to Agents and select the agent named Copilot in Dynamics
365 Sales (formerly Sales Copilot Power Virtual Agents Bot).
3. Navigate to Knowledge: Under the Knowledge section, select the SalesSpecificQnA knowledge source.
4. Add Glossary Entries:
Go to the Glossary tab.
Term: Enter the non-standard or custom field display name (e.g., your custom business term).
Description: Define how this term relates to the Dataverse schema. This helps Copilot understand the logic behind the custom column.
5. Configure Synonyms: In the Synonyms section, map your custom field to alternative names that sellers might use in natural language queries (e.g., mapping "Custom Revenue" to
"Opportunity Revenue").
6. Publish Changes: Select Publish to apply these mappings, allowing Copilot to use the newly defined terms when generating lead summaries.
Reference:
https://learn.microsoft.com/en-us/dynamics365/sales/extend-copilot-chat
NEW QUESTION # 17
A financial services company uses Microsoft Dynamics 365 Finance.
Currently, the company's support staff manually reviews customer transaction histories to detect potential fraud cases before escalating the cases.
You need to recommend an automation solution for the review process. The solution must ensure that escalations reach a human analyst for final decision making. What should you recommend?
- A. Use Microsoft 365 Copilot in Word to automatically finalize fraud detection policies.
- B. Deploy an autonomous agent that closes non-fraud cases automatically.
- C. Configure a task agent to generate fraud risk scores for the human analyst to review.
- D. Export the data to a data lake for analysis in Microsoft Power BI.
Answer: C
Explanation:
To automate the fraud review process in Microsoft Dynamics 365 Finance while ensuring a human analyst makes the final decision, you should configure the Dynamics 365 Fraud Protection (or integrated Copilot AI agents) to generate risk scores and route high-risk transactions to a manual review queue.
Here is the configuration approach to achieve this:
1. Implement AI-Driven Risk Scoring: Utilize Dynamics 365 Fraud Protection, which uses AI to analyze customer transaction history and assign a risk score (0-999) to each transaction.
2. Define Rules for Escalation: Set up fraud rules in the system to determine which transactions require human intervention. For instance, define a threshold (e.g., a "Minimum score value") where transactions with high fraud probability are automatically flagged.
3. Establish Manual Review Queues: Configure the Manual Review tool to create queues for suspected fraudulent transactions, allowing human analysts to review the AI-generated risk score and transaction history, such as customer behavior, for final, informed decision-making.
4. Use Copilot/AI Agents for Monitoring: Enable AI agents to continuously monitor financial data, such as invoice, payment, and vendor data, and generate alerts for unusual patterns before escalating.
This setup, particularly through the Manual Review workspace, allows for an automated, intelligent, and scalable approach to fraud management.
Reference:
https://www.microsoft.com/en-us/dynamics-365/blog/it-professional/2021/03/25/enhance-your- fraud-workflow-efficiency-with-manual-review/
NEW QUESTION # 18
Drag and Drop Question
A company has a Microsoft Copilot Studio agent that has been in production for three months.
The agent has received positive feedback from users.
You need to identify the number of questions unanswered by the agent and the number of abandoned sessions between the users and the agent.
Which Copilot Studio insights should you use? To answer, drag the appropriate insights to the correct requirements. Each insight may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Generated answer, rate and quality
The number of questions unanswered
In Microsoft Copilot Studio, you can find the number of unanswered questions by navigating to the Analytics page and viewing the Generated answer rate and quality section.
This specific analytics area provides insights into how often the agent successfully generates a response versus when it fails to do so.
Box 2: Conversation outcomes
The number of abandoned sessions between the users and the agent
To find the number of abandoned sessions in a Microsoft Copilot Studio agent's analytics, you can use the Conversation outcomes chart within the Analytics dashboard. This chart specifically tracks and visualizes sessions with an "Abandoned" outcome.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/whats-new
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-improve-agent-effectiveness
NEW QUESTION # 19
Hotspot Question
You need to design a shared prompt library that will be used across multiple business units. The solution must meet the following requirements:
- Ensure consistent AI responses with reusable formats.
- Support governance and version control.
- Minimize administrative effort.
- Minimize ongoing costs.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Define standardized prompt templates
Ensure consistent AI responses with reusable formats.
To ensure consistent AI responses across multiple business units, your shared prompt library should be built on a foundation of standardized, modular templates that balance centralized governance with unit-specific flexibility.
Box 2: Store prompts in a Git repository
Support governance and version control.
Storing AI prompts in a Git repository allows you to treat prompts as "first-class artifacts" with the same accountability and lifecycle management as source code. For an enterprise solution serving multiple business units, this approach provides the necessary structure for governance, collaboration, and scalability.
1. Repository Organization for Business Units
2. Governance and Version Control Workflow
Branching Strategy: Use a dedicated branch for each experiment or new use case (e.g., feature/marketing-seo-v2) to ensure the main branch remains stable.
Pull Requests (PRs): Mandate PRs for all changes to enable peer reviews. PRs should include descriptions of changes, linked issues, and test results.
Semantic Versioning: Apply tags (e.g., v1.0.1) to mark significant updates, allowing business units to pin their applications to specific, stable prompt versions.
Auditability: Git maintains a full historical record of who changed a prompt, what was modified, and when it occurred.
Reference:
https://www.leeboonstra.dev/prompt-engineering/prompt_engineering_guide6
https://launchdarkly.com/blog/prompt-versioning-and-management
NEW QUESTION # 20
Hotspot Question
A company has a Microsoft 365 E5 subscription and uses Microsoft Copilot Studio.
The company has a Microsoft SharePoint Online library that contains 10,000 policy PDFs from various departments. The library contains a populated column named Department for each PDF.
You need to design a Copilot Studio agent that will use the SharePoint library as a knowledge source. The solution must meet the following requirements:
- Enable the agent to answer user questions about company policies.
- Ensure that the agent can identify which departments and policies are connected.
What should you include in the design for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: From Copilot Studio, add SharePoint as a knowledge source
Enable the agent to answer user questions about company policies.
To enable a Microsoft Copilot Studio agent to answer questions from a large SharePoint Online library using the Department column as a filter, you must configure Generative Answers with specific metadata filtering.
*-> 1. Configure SharePoint as a Knowledge Source
Add the Source: In Copilot Studio, go to the Knowledge tab and select Add knowledge. Choose SharePoint and provide the URL of your site or specific document library.
Authentication: Ensure Manual Authentication with Microsoft Entra ID is configured. The agent requires the Sites.Read.All and Files.Read.All scopes to access documents on behalf of the user.
Indexing: Note that indexing tens of thousands of files can take significant time (days or weeks).
2. Enable Metadata Filtering (Department Column)
To ensure the agent only searches policies relevant to a user's department, you must use Advanced Settings to filter the search results based on your custom column.
Box 2: From Copilot Studio, configure the SharePoint tool.
Ensure that the agent can identify which departments and policies are connected.
The SharePoint tool can be configured directly from Microsoft Copilot Studio to act as a knowledge source, allowing your AI agent to read files, documents, and lists from SharePoint to provide answers.
Note:
To ensure your Copilot Studio agent effectively identifies and connects your "Department" metadata with specific policies across tens of thousands of documents, you must address both search indexing and agent instructions.
To ensure that your Microsoft Copilot Studio agent can identify and filter documents based on the Department column from your SharePoint library, you should configure the Advanced settings of your SharePoint knowledge source to use KQL (Keyword Query Language) filters.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-add-sharepoint
NEW QUESTION # 21
A company has a portfolio of AI initiatives at different stages of development.
You need to recommend a structured approach to evaluating the return on AI investment (ROAI) across all the initiatives. The solution must balance immediate results with long-term values and strategic innovations.
What should you include in the recommendation?
- A. a prioritization grid
- B. a horizon-based framework
- C. a simple cost and benefit analysis
- D. the internal rate of return (IRR) function
Answer: B
Explanation:
In this scenario, a horizon-based framework is best for evaluating the return on AI investment (ROAI). While a prioritization grid is excellent for immediate tactical choices (e.g., effort vs.
impact), a horizon-based framework is specifically designed to balance diverse timeframes- mapping immediate efficiency gains alongside the long-term strategic and transformational value required for a comprehensive Microsoft AI portfolio.
Why the Horizon-Based Framework Wins
This approach categorizes AI initiatives into three distinct "horizons," allowing you to measure different types of value across the development lifecycle:
Horizon 1: Core Operations (Immediate ROI)
Focuses on extending current capabilities for rapid results, such as using Microsoft Copilot to automate routine coding tasks or IT support.
Horizon 2: Adjacent Opportunities (Mid-Term Value)
Targets growth by expanding into new areas related to your core, such as developing agentic platforms or AI-driven specialized tools that build on existing infrastructure.
Horizon 3: Transformational Innovation (Long-Term Strategy)
Invests in "future-forward" innovations that may have uncertain immediate returns but offer massive strategic upside or business model reimagination.
Recommendation: Use the Microsoft AI Maturity Model to baseline your current state, then apply the Horizon-Based Framework to structure your ROAI evaluation. This ensures you don't starve long-term innovation in favor of only "low-hanging fruit" efficiency projects.
Reference:
https://businessengineer.ai/p/microsofts-three-horizon-ai-architecture
NEW QUESTION # 22
A company uses Microsoft Dynamics 365 Finance to manage accounts payable.
You are designing an AI invoice processing solution.
You need to recommend the prerequisites to configure a prebuilt copilot for accounts payable.
What should you recommend?
- A. Build an AI tool in Microsoft Foundry.
- B. Extend Microsoft 365 Copilot for Sales to an accounts payable agent.
- C. From Microsoft Copilot Studio, create an accounts payable agent.
- D. From the Power Platform admin center, assign the Finance and Operations AI security role to users.
Answer: D
Explanation:
Users must be assigned the Finance and Operations AI and AIB Roles in the Dataverse environment.
Note:
To configure the prebuilt Copilot for Accounts Payable in Microsoft Dynamics 365 Finance, you must satisfy several foundational and technical requirements.
1. System & Environment Prerequisites
2. Technical Configuration & Data Settings
3. Licensing & Security Roles
Licenses
*-> Dataverse Roles: Users must be assigned the Finance and Operations AI and AIB Roles in the Dataverse environment.
4. Feature Activation
Reference:
https://learn.microsoft.com/en-us/dynamics365/finance/accounts-payable/invoice-capture- overview
NEW QUESTION # 23
Scenario: A customer support organization aims to significantly improve its case resolution times and overall agent efficiency. They are looking for an AI solution that can provide real-time assistance to agents by summarizing ongoing conversations, suggesting relevant next best actions, and quickly retrieving historical customer data directly within their workflow.
Which specific Microsoft capability is designed to provide these AI-driven features for enhancing agent productivity within a customer service environment?
- A. A standalone Power Virtual Agents chatbot
- B. Standard case management features in Dynamics 365
- C. Direct integration with the Azure OpenAI API using custom code
- D. Microsoft Copilot for Dynamics 365 Customer Service
Answer: D
Explanation:
Microsoft Copilot for Dynamics 365 Customer Service is correct because this specific Copilot integration provides exactly the described functionalities: real-time conversation summaries, AI- suggested responses, recommended next actions, and the ability to surface relevant knowledge base articles and historical customer data directly within the agent's workflow in Dynamics 365 Customer Service.
References:
https://adoption.microsoft.com/en-us/copilot-in-dynamics-365-customer-service/
https://learn.microsoft.com/en-us/microsoft-cloud/dev/copilot/copilot-for-dynamics365
NEW QUESTION # 24
A company has Microsoft Foundry agents that generate responses by using Azure OpenAI resources. The agents are deployed to both the United States and Europe.
A company mandate states that the agents and their grounding data must adhere to data residency and movement regulations.
You need to recommend a governance solution for the agents.
What should you include in the recommendation?
- A. Azure Monitor
- B. Microsoft Purview
- C. Microsoft Defender for Cloud
- D. Azure Policy
Answer: B
Explanation:
In this scenario, Microsoft Foundry agents and Azure OpenAI resources generate responses by using the Responses API. To ensure these agents adhere to data residency and movement regulations across the United States and Europe, Microsoft Purview should be included to provide the following governance and security controls:
Unified Data Discovery & Classification: Purview's discovery REST API allows orchestrator agents to identify relevant data assets (e.g., in Fabric or Databricks) across the organization's entire data landscape.
Sensitivity Label Enforcement: It ensures that AI-generated responses respect existing access controls by checking document label metadata at query time. This prevents oversharing of sensitive data and restricts users to authorized content.
Data Loss Prevention (DLP): By integrating Purview DLP policies, organizations can monitor, block, or warn when sensitive data is used in AI prompts or responses in real-time.
Data Residency Compliance: For strict European residency (e.g., GDPR), Azure OpenAI resources should be deployed using Data Zone (DZ) SKUs (such as in Sweden Central or Germany West Central), which contractually guarantee that both data storage and processing remain within the specified geography.
Embedded Governance: Admins can enable a native integration within Microsoft AI Foundry at the subscription level. This automatically sends prompt and response data to Purview for auditing and compliance without requiring additional developer code.
Reference:
https://www.georgeollis.com/consuming-a-microsoft-foundry-agent-programmatically
NEW QUESTION # 25
You need to design a Microsoft 365 Copilot solution to optimize employee productivity. The solution must meet the following requirements:
- Ensure that the employees can query content stored in a subset of
Microsoft SharePoint Online sites and in Teams by using natural
language-based prompt actions.
- Ensure that employees receive contextually relevant responses in
Microsoft 365 Copilot.
What should you include in the design?
- A. Configure Microsoft Graph access.
- B. Create a custom REST API that crawls the SharePoint content.
- C. Modify SharePoint settings.
- D. Build a Microsoft Power Automate desktop flow to read the SharePoint content and post the responses to Teams.
Answer: A
Explanation:
To enable Microsoft 365 Copilot to query a specific subset of SharePoint Online and Teams content using natural language, you can implement a combination of Restricted SharePoint Search and Microsoft Graph Connectors.
1. Restricting Content Access
You can limit the scope of data Copilot searches by using features that control which sites are indexed or accessible.
2. Configuring Microsoft Graph Access
Microsoft Graph acts as the bridge connecting Copilot to your organizational data. To integrate specific sources.
3. Enabling Prompt Actions & Context
Declarative Agents: You can create specialized Copilot Agents grounded in specific SharePoint knowledge sources. These agents use natural language instructions to focus on a subset of data for more contextually relevant responses.
Direct Referencing: Users can improve response relevance by explicitly naming files, folders, or Teams channels in their natural language prompts (e.g., "Summarize notes from the 'Product Launch' channel").
Reference:
https://nboldapp.com/advanced-microsoft-365-copilot-techniques-prompting-grounding-and- automation/
NEW QUESTION # 26
Hotspot Question
A company uses Microsoft Dynamics 365 Supply Chain Management.
You are designing an AI supply chain process that meets the following requirements:
- Provides managers with AI-driven insights that surface key
information from customer orders
- Helps planners use AI to anticipate future product needs more
accurately
You need to recommend which Microsoft Copilot features to include in the design.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: AI summaries with Copilot
Provides managers with AI-driven insights that surface key information from customer orders To provide managers with AI-driven insights from customer orders in Dynamics 365 Supply Chain Management, use the AI summaries with Copilot feature, specifically leveraging the embedded Customer Summary capabilities. This tool provides instant, personalized overviews of critical data, such as backordered items, credit limits, and risk indicators, directly within the workspace.
Box 2: Generative insights for Demand planning
Helps planners use AI to anticipate future product needs more accurately The Copilot Generative insights for Demand planning feature in Microsoft Dynamics 365 Supply Chain Management enables demand planners to move from reactive, manual forecasting to proactive, AI-driven demand anticipation. By analyzing, clustering, and interpreting vast datasets, Copilot helps identify patterns such as seasonality and signal correlations to improve accuracy.
Reference:
https://www.randgroup.com/insights/tip-of-the-month/finance-operations-totm/dynamics-365- finance-operations-tip-of-the-month-work-smarter-with-copilot-in-d365-finance-supply-chain- management/
https://learn.microsoft.com/en-us/dynamics365/release-plan/2025wave2/enterprise-resource- planning/dynamics365-supply-chain-management/analyze-demand-enhanced-generative- insights-demand-planning
NEW QUESTION # 27
A company has a customer order system that creates sales orders manually.
You need to design an AI solution to automate the following tasks as part of the system:
- Save the order details to a database.
- Update the order status in the database.
- Extract the order details from an order file.
- Prepare and send a confirmation email to customers.
The solution must minimize development effort and support intelligent automation and solution integration.
What should you include in the design?
- A. a multi-agent solution that uses Microsoft Foundry Agent Service
- B. a multi-agent solution that uses the Semantic Kernel SDK
- C. a Microsoft Copilot Studio agent that uses Microsoft Power Automate workflows
- D. a workflow in Azure Logic Apps
Answer: C
Explanation:
To create this system, you'll need to integrate Microsoft Copilot Studio with Power Automate and AI Builder. This combination allows your agent to not only "talk" but also "act" by executing complex backend workflows.
Solution Architecture
Front-end: A Copilot Studio agent serves as the interface, receiving order requests or files from customers.
Brain (Logic): Power Automate cloud flows act as the "skills" for your agent, handling all database and email operations.
Data Extraction: AI Builder (Document Processing) extracts specific fields (like Item ID, Quantity, or Customer Name) from uploaded order files.
Storage: Microsoft Dataverse or SQL Server functions as the database to save and update order records.
Reference:
https://medium.com/@sushmita.sg/build-an-ai-powered-customer-support-system-in-2-hours-no- code-using-microsoft-copilot-2e3275dbbee5
NEW QUESTION # 28
Scenario: Your organization wants to empower different teams with custom AI agents using Microsoft Copilot Studio. Some teams only need simple, personal productivity agents based on SharePoint content, while others need enterprise-grade agents that integrate with back-end systems and require full lifecycle governance. Leadership asks you to identify the scenarios where each Copilot Studio experience-Lite or Full-would be the correct choice.
Which three of the following scenarios align with Microsoft's recommended use cases for choosing either the Lite or Full Copilot Studio experience? (Choose three)
- A. An enterprise wants to deploy an agent to thousands of external customers and requires controlled release management and secure integration with line-of-business systems
- B. A manager wants to quickly build a personal agent that answers questions using their team's internal SharePoint files-without needing complex workflows
- C. A small project team needs an agent for summarizing emails and FAQs, created directly within the Microsoft 365 Copilot app
- D. A department needs an agent that uses multi-step workflows and connects to a custom CRM via APIs for large-scale deployment across the organization
- E. A company wants to experiment with AI by enabling all employees to create agents without any governance or lifecycle management controls
Answer: A,B,D
Explanation:
A manager wants to quickly build a personal agent that answers questions using their team's internal SharePoint files-without needing complex workflows is correct because This scenario perfectly describes a use case for Copilot Studio Lite. Lite is designed for individual users or small teams to quickly create simple, personal productivity copilots, often leveraging Microsoft 365 content (like SharePoint) without requiring deep technical skills or complex integrations.
A department needs an agent that uses multi-step workflows and connects to a custom CRM via APIs for large-scale deployment across the organization is correct because This scenario aligns with the capabilities and target audience of the Full Copilot Studio experience. Building multi-step workflows, connecting to custom APIs (like a CRM), and preparing for large-scale organizational deployment are advanced features that require the comprehensive environment and governance capabilities of the Full Studio.
An enterprise wants to deploy an agent to thousands of external customers and requires controlled release management and secure integration with line-of-business systems is correct because This is a prime example of a scenario demanding the Full Copilot Studio experience.
Deploying to external customers at scale, requiring controlled release processes, and ensuring secure integration with core business systems (which often involves complex connectors and security configurations) are all advanced requirements best met by the robust features of Full Copilot Studio.
References:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/publication-add-bot-to-microsoft-teams
https://www.microsoft.com/insidetrack/blog/how-our-employees-are-extending-enterprise-ai-with- custom-retrieval-agents/
https://learn.microsoft.com/en-us/microsoft-365-copilot/extensibility/copilot-studio-experience
NEW QUESTION # 29
You are evaluating a Microsoft Copilot Studio agent that supports Microsoft Dynamics 365 Customer Service representatives.
You need to recommend a testing solution that meets the following requirements:
- Evaluates agent effectiveness during active sessions
- Validates whether the agent delivers accurate and helpful responses
- Provides measurable, actionable insights for continuous improvement
What should you recommend?
- A. Track resolution, deflection, and accuracy by using dashboards and use scripts to ensure consistent responses.
- B. Review historical tickets to find agents that have the shortest resolution times.
- C. Perform load testing to validate how the agent scales under a high chat volume.
- D. Measure uptime and page load times.
Answer: A
Explanation:
To establish a testing and evaluation setup for your Microsoft Copilot Studio agent within Dynamics 365 Customer Service, you should leverage specialized AI-driven evaluation agents and integrated analytics dashboards.
1. Evaluate Effectiveness and Accuracy
Use the Quality Evaluation Agent in Dynamics 365 to automate the assessment of agent performance during and after active sessions.
2. Track Measurable Insights with Dashboards
Utilize the built-in and customizable dashboards to monitor key performance indicators (KPIs) like resolution and deflection.
3. Ensure Consistency with Agent Scripts
To maintain uniform and company-endorsed communication, implement Agent Scripts within the Customer Service Admin center.
Reference:
https://learn.microsoft.com/en-us/dynamics365/contact-center/administer/manage-quality- evaluation-agent
NEW QUESTION # 30
A company plans to deploy an AI-based customer service app that will autonomously manage interactions, escalate complex cases, and learn from historical ticket data.
You need to perform a return on AI investment (ROAI) analysis of the app deployment. The solution must ensure that the analysis is accurate.
What should you do first?
- A. Identify and quantify all the development, deployment, and operating costs.
- B. Establish the AI performance metrics.
- C. Conduct an AI market benchmarking study.
- D. Model the customer experience.
Answer: A
Explanation:
To conduct a robust Return on AI Investment (ROAI) analysis for your Microsoft-based AI customer service application, you must first categorize and quantify three distinct cost phases:
Development, Deployment, and Operations. For a system capable of managing complex escalations and learning from historical data, your project aligns with "Advanced" or "Agentic" AI profiles.
1. Development Costs (Upfront Investment)
This phase covers the creation of the core AI logic, custom integrations, and data preparation.
2. Deployment Costs (One-Time Setup)
These are the costs to move the application from a development environment to a live production state.
3. Operating & Maintenance Costs (Recurring)
Ongoing expenses are critical for ROAI as they impact the net gain over time.
Reference:
https://emerline.com/blog/ai-app-development-cost
NEW QUESTION # 31
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