Microsoft AB-100 (page: 2)

Microsoft Agentic AI Business Solutions Architect

Updated 17-Apr-2026

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?

  1. Deploy an autonomous agent that closes non-fraud cases automatically.
  2. Use Microsoft 365 Copilot in Word to automatically finalize fraud detection policies.
  3. Configure a task agent to generate fraud risk scores for the human analyst to review.
  4. Export the data to a data lake for analysis in Microsoft Power BI.

Answer(s): 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/



A company plans to deploy a Microsoft Copilot Studio agent that will analyze historical business data to predict customer behavior.

The data is currently stored in an Azure SQL database, flat files, APIs, and logs.

You need to organize the data into a format that can be used as a knowledge source in Copilot Studio.

What should you include in the solution?

  1. Azure AI Search
  2. Azure Data Lake Storage
  3. Azure Cosmos DB
  4. Azure Translator in Foundry Tools

Answer(s): A

Explanation:

Microsoft Copilot Studio agents can analyze customer behavior by leveraging business data from Azure SQL, files, and APIs by using Azure AI Search as a knowledge source. By importing and vectorizing this structured and unstructured data into an Azure AI Search index, the agent can perform semantic, meaning-based searches to retrieve context-relevant information.


Reference:

https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search



A retail company plans to deploy Microsoft Copilot Studio agents to support:

Microsoft Dynamics 365 Commerce scenarios.

A Microsoft Power Apps inventory management solution.

You need to recommend a solution to organize product catalog data as a consistent source for multiple AI systems.

What should you recommend?

  1. Let each agent scrape product details from Microsoft SharePoint Online libraries.
  2. Store the product catalog data in a separate custom table for each agent.
  3. Configure prompts to pull product details from the PDFs of external vendors.
  4. Centralize the product catalog data in Microsoft Dataverse and expose the data to both agents.

Answer(s): D

Explanation:

In the scenario described, centralizing product catalog data in Microsoft Dataverse is the recommended architectural approach to ensure consistency across multiple AI systems. Dataverse acts as a unified "knowledge network" that allows different agents to share a single source of truth for both structured and unstructured data.
Key Benefits of Centralizing in Dataverse
Cross-App Consistency: By storing the catalog in Dataverse, both the Dynamics 365 Commerce agent and the Power Apps inventory management agent access the exact same records. This prevents data silos where inventory levels or product descriptions might drift apart between systems.
Native Copilot Studio Integration: You can directly add Dataverse tables as knowledge sources in Microsoft Copilot Studio. This allows agents to use Retrieval-Augmented Generation (RAG) to answer queries grounded in your live product data.
Security & Governance: Dataverse enforces Role-Based Access Control (RBAC), ensuring that agents only interact with data they are authorized to see, based on the user's existing permissions.
Automated Updates: You can use Power Platform Dataflows to ingest and synchronize catalog data from external sources into Dataverse, keeping the information fresh for all connected AI agents.


Reference:

https://www.microsoft.com/en-us/power-platform/blog/2025/06/16/data-agent-architecture-powered-by- microsoft-dataverse



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?

  1. a simple cost and benefit analysis
  2. a horizon-based framework
  3. the internal rate of return (IRR) function
  4. a prioritization grid

Answer(s): 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.

Comparison for This Scenario



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



You need to recommend a Microsoft Power Platform business solution that consolidates data from multiple internal and external data sources. The solution must meet the following requirements:

Provide the data as a centralized source for multiple AI systems, including Microsoft Copilot Studio agents,

Dynamics 365 applications, and external AI models.
Support built-in data classification and protection policies.

Provide data for grounding and analytics.

What should you include in the recommendation?

  1. Microsoft Dataverse
  2. Azure Data Lake Storage
  3. a Microsoft Power BI semantic model
  4. Azure Cosmos DB

Answer(s): A

Explanation:

Microsoft Dataverse is the ideal foundational component for this scenario, serving as the secure, centralized data platform for the Microsoft Power Platform, Dynamics 365, and AI integrations. By using Dataverse, the business can consolidate, protect, and utilize data across Copilot Studio agents, Dynamics 365 applications, and analytics tools, addressing all stated requirements.
Here is how Dataverse fulfills the requirements in the described scenario:
Centralized Source: It serves as the primary data storage and management engine for Power Platform, Dynamics 365, and Copilot Studio. It consolidates data into a unified data model (Common Data Model), ensuring consistency across internal and external sources.
Internal & External Integration: Dataverse supports data integration from diverse sources using tools like Power

Query, Azure Data Factory, and virtual tables that map external data in real-time.
Data Classification & Protection: It features built-in, enterprise-grade security.
AI Grounding & Analytics:
- Grounding: It acts as the knowledge source for Copilot Studio agents, providing the necessary business context for accurate generative AI responses.
- Analytics: It integrates natively with Power BI for reporting and can synchronize with Microsoft Fabric or Azure Synapse for large-scale data modeling and advanced analytics.


Reference:

https://avantiico.com/solutions/microsoft-platforms/microsoft-dataverse



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?

  1. Establish the AI performance metrics.
  2. Conduct an AI market benchmarking study.
  3. Model the customer experience.
  4. Identify and quantify all the development, deployment, and operating costs.

Answer(s): D

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




Case study

This is a case study. Case studies are not timed separately from other exam sections. You can use as much exam time as you would like to complete each case study. However, there might be additional case studies or other exam sections. Manage your time to ensure that you can complete all the exam sections in the time provided. Pay attention to the Exam Progress at the top of the screen so you have sufficient time to complete any exam sections that follow this case study.
To answer the case study questions, you will need to reference information that is provided in the case. Case studies and associated questions might contain exhibits or other resources that provide more information about the scenario described in the case. Information provided in an individual question does not apply to the other questions in the case study.
A Review Screen will appear at the end of this case study. From the Review Screen, you can review and change your answers before you move to the next exam section. After you leave this case study, you will NOT be able to return to it.
To start the case study
To display the first question in this case study, select the "Next" button. To the left of the question, a menu provides links to information such as business requirements, the existing environment, and problem statements. Please read through all this information before answering any questions.
When you are ready to answer a question, select the "Question" button to return to the question.
Background
Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the current on-premises proprietary technologies used by its business-to-business (B2B) sales team.
As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and implement AI solutions, wherever possible, to streamline operations.
Problem Statements
Fabrikam's infrastructure currently relies on various on-premises systems that require sales executives to use corporate computers with physical keyboards to access business information during customer interactions.
Mobile phones cannot be used for these purposes, as the systems depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to search for data on several disparate systems and file servers, rather than focusing on the customers. This affects the customer experience.
Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will depend on demonstrating an increase in AI adoption month over month. As the AI agent initiative for the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority.
Planned Initiatives
General
Fabrikam management has prioritized AI-driven projects to improve efficiency, customer engagement, and responsible AI adoption. The current application infrastructure is on-premises and must be migrated to the cloud to support the adoption of these technologies.
Infrastructure Migration
Fabrikam plans to migrate from its current on-premises infrastructure to a completely cloud-based topology; this will include user authentication, the security framework, and, primarily, the adoption of the services by end users.
All the data from the different systems will be consolidated into a single data source - a common data model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales team.
Sales Cycle Enablement
To achieve the company's objectives, Fabrikam intends to implement the following strategies to enhance the sales cycle:
Use low-code development to create a single AI agent that has Dataverse as its core component.

Ensure that sales managers can access unanswered correspondence from prospects and intervene as appropriate.
Replace the previous proprietary software with Dynamics 365 Sales to track sales cycles and customer interactions.
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and send follow-up communications to prospects.
Have the sales executives use handsfree headsets to interact with an AI agent when they have questions about internal policies or customer data.
Requirements
Infrastructure Migration
Fabrikam has identified the following infrastructure migration requirements:
Azure must be used for all future infrastructure workloads.

The company must follow Microsoft-recommended methodologies for infrastructure migration to the cloud.

Any created AI agents must have their return on investment (ROI) calculated to ensure that the solution will save the company money.
Sales Cycle Enablement
Fabrikam has identified the following requirements for sales cycle enablement:
The final AI agent must follow Microsoft recommendations for a conversational user experience.

A designated checklist must be reviewed to ensure that the AI agent follows Microsoft deployment recommendations for a compliant solution.
Detailed telemetry must be logged for the first created AI agent to help troubleshoot and optimize the agent during the initial AI agent adoption process.
Unexpected AI agent actions must end in an escalation to a live representative. For example, a sales executive must be rerouted to a representative if the agent cannot answer a question after two failed attempts.
The return on investment (ROI) of switching from the current process to the future process is required for stakeholder sign off.
The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and efficiently than currently.
Sales managers must report on the adoption of the AI agent to key Fabrikam stakeholders on a monthly basis.
Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for future auditing.

Which template should you use for the AI agent to meet the requirements for the sales executives?

  1. IT Helpdesk in Microsoft Copilot Studio
  2. AI agents in Microsoft Foundry
  3. Voice in Microsoft Copilot Studio
  4. AI chat in Microsoft Foundry

Answer(s): C

Explanation:

Scenario:
Sales Cycle Enablement
To achieve the company's objectives, Fabrikam intends to implement the following strategies to enhance the sales cycle:
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and send follow-up communications to prospects.
*-> Have the sales executives use handsfree headsets to interact with an AI agent when they have questions about internal policies or customer data.
To enable handsfree headset interaction with an AI agent for internal policies and customer data in Dynamics 365 Sales, you should use Microsoft Copilot Studio to create a custom agent template.
Here is the breakdown of the recommended approach and templates:
Recommended Template
Voice-enabled agent template (in Copilot Studio): This template provides the foundational, pre-configured setup for Interactive Voice Response (IVR) capabilities, allowing for natural language voice inputs and text-to- speech output.
Internal Data Knowledge Source: Within this agent, you will connect to Dataverse (for customer data) and configure Knowledge Sources (for internal policy documents).
Note:
To implement a hands-free AI agent for Dynamics 365 Sales using the Voice agent template in Microsoft Copilot Studio, follow these steps to enable voice-first interactions for internal policies and customer data.
1. Create a Voice-Enabled Agent
2. Configure Hands-Free Interaction
3. Connect to Internal Data


Reference:

https://learn.microsoft.com/en-us/dynamics365/contact-center/administer/bot-scenario-configure




Case study

This is a case study. Case studies are not timed separately from other exam sections. You can use as much exam time as you would like to complete each case study. However, there might be additional case studies or other exam sections. Manage your time to ensure that you can complete all the exam sections in the time provided. Pay attention to the Exam Progress at the top of the screen so you have sufficient time to complete any exam sections that follow this case study.
To answer the case study questions, you will need to reference information that is provided in the case. Case studies and associated questions might contain exhibits or other resources that provide more information about the scenario described in the case. Information provided in an individual question does not apply to the other questions in the case study.
A Review Screen will appear at the end of this case study. From the Review Screen, you can review and change your answers before you move to the next exam section. After you leave this case study, you will NOT be able to return to it.
To start the case study
To display the first question in this case study, select the "Next" button. To the left of the question, a menu provides links to information such as business requirements, the existing environment, and problem statements. Please read through all this information before answering any questions.
When you are ready to answer a question, select the "Question" button to return to the question.
Background
Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the current on-premises proprietary technologies used by its business-to-business (B2B) sales team.
As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and implement AI solutions, wherever possible, to streamline operations.
Problem Statements
Fabrikam's infrastructure currently relies on various on-premises systems that require sales executives to use corporate computers with physical keyboards to access business information during customer interactions.
Mobile phones cannot be used for these purposes, as the systems depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to search for data on several disparate systems and file servers, rather than focusing on the customers. This affects the customer experience.
Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will depend on demonstrating an increase in AI adoption month over month. As the AI agent initiative for the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority.
Planned Initiatives
General
Fabrikam management has prioritized AI-driven projects to improve efficiency, customer engagement, and responsible AI adoption. The current application infrastructure is on-premises and must be migrated to the cloud to support the adoption of these technologies.
Infrastructure Migration
Fabrikam plans to migrate from its current on-premises infrastructure to a completely cloud-based topology; this will include user authentication, the security framework, and, primarily, the adoption of the services by end users.
All the data from the different systems will be consolidated into a single data source - a common data model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales team.
Sales Cycle Enablement
To achieve the company's objectives, Fabrikam intends to implement the following strategies to enhance the sales cycle:
Use low-code development to create a single AI agent that has Dataverse as its core component.

Ensure that sales managers can access unanswered correspondence from prospects and intervene as appropriate.
Replace the previous proprietary software with Dynamics 365 Sales to track sales cycles and customer interactions.
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and send follow-up communications to prospects.
Have the sales executives use handsfree headsets to interact with an AI agent when they have questions about internal policies or customer data.
Requirements
Infrastructure Migration
Fabrikam has identified the following infrastructure migration requirements:
Azure must be used for all future infrastructure workloads.

The company must follow Microsoft-recommended methodologies for infrastructure migration to the cloud.

Any created AI agents must have their return on investment (ROI) calculated to ensure that the solution will save the company money.
Sales Cycle Enablement
Fabrikam has identified the following requirements for sales cycle enablement:
The final AI agent must follow Microsoft recommendations for a conversational user experience.

A designated checklist must be reviewed to ensure that the AI agent follows Microsoft deployment recommendations for a compliant solution.
Detailed telemetry must be logged for the first created AI agent to help troubleshoot and optimize the agent during the initial AI agent adoption process.
Unexpected AI agent actions must end in an escalation to a live representative. For example, a sales executive must be rerouted to a representative if the agent cannot answer a question after two failed attempts.
The return on investment (ROI) of switching from the current process to the future process is required for stakeholder sign off.
The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and efficiently than currently.
Sales managers must report on the adoption of the AI agent to key Fabrikam stakeholders on a monthly basis.
Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for future auditing.

Which tool should you use for the prospect communication requirements in Dynamics 365 Sales?

  1. Azure AI Search
  2. Copilot email assist
  3. the Voice template Microsoft Copilot Studio
  4. Deep Research in Microsoft Foundry Agent Service

Answer(s): B

Explanation:

Scenario:
Requirements
*-> The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and efficiently than currently.
Sales Cycle Enablement
To achieve the company's objectives, Fabrikam intends to implement the following strategies to enhance the sales cycle:
Ensure that sales managers can access unanswered correspondence from prospects and intervene as appropriate.
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and send follow-up communications to prospects.
---
In Dynamics 365 Sales, the Copilot email assist feature acts as a powerful accelerator for handling prospects by automating the most time-consuming parts of communication.
Here is how it helps you move faster and more efficiently:
Instant Drafting: You can generate professional-looking email drafts in seconds by choosing a predefined category (like "reply to an inquiry" or "follow up") or by entering your own custom prompt.
Context-Aware Personalization: The AI uses data directly from your CRM--such as past interactions, deal status, and customer notes--to ensure every message is tailored specifically to that prospect's needs.
Tone & Style Adjustments: You can quickly refine the length and tone (e.g., formal, friendly, or urgent) of a draft to better resonate with a particular recipient.
Summarization: When dealing with long email chains, Copilot provides a concise summary of the conversation history, allowing you to catch up instantly without reading through every old message.
Actionable Reminders: It monitors your inbox to identify pending action items or key customer requests you may have missed, ensuring no prospect falls through the cracks.
Seamless Integration: These tools are available directly within the Dynamics 365 Email Rich Text Editor and across Microsoft 365 apps like Outlook and Teams, keeping you in your flow of work.


Reference:

https://learn.microsoft.com/en-us/dynamics365/sales/copilot-overview



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Share your comments for Microsoft AB-100 exam with other users:

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