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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Channels | 30-35% | - Configure customer engagement channels
|
| Topic 2: Deploy Dynamics 365 Contact Center | 15-20% | - Deploy contact center environments
|
| Topic 3: Configure Agents and AI Capabilities | 10-15% | - Enable AI-assisted experiences
|
| Topic 4: Configure Users, Security, and Work Distribution | - Manage operational settings
| |
| Topic 5: Monitor and Optimize Contact Center Operations | - Operational excellence
|
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NEW QUESTION # 114
A company plans to use quality evaluation for CSR performance, needing automatic evaluation of conversations based on predefined conditions, plus measurable scoring for evaluating CSRs through the Quality Evaluation Agent. You need to configure the evaluation process.
What should you configure for the automatic, condition-based evaluation?
Answer: A
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Dynamics 365 Contact Center AI Engineer/Course Guide/topics:
Dynamics 365 Contact Center quality evaluation uses an evaluation framework composed of evaluation criteria, evaluation plans, and evaluation results. Evaluation criteria define what is assessed, including questions, answer options, scoring logic, weighting, and evaluator instructions. Evaluation plans determine which interactions should be evaluated and under what conditions.
For automatic condition-based evaluation, supervisors configure evaluation criteria and then use an evaluation plan to identify conversations that satisfy defined conditions. When the plan runs, the Quality Evaluation Agent evaluates the qualifying conversations, generates predicted responses with reasoning, and calculates measurable quality scores. Microsoft explicitly documents weighted and equal-distribution scoring models, enabling organizations to quantify performance consistently rather than relying on subjective manual review.
Manual spot checking cannot provide scalable, systematic coverage. A static training checklist provides guidance but does not automatically evaluate live or completed interactions. Knowledge article review is unrelated to representative conversation-quality measurement.
The correct design therefore combines defined evaluation criteria with automated evaluation rules/plans so qualifying conversations are scored consistently by the Quality Evaluation Agent.
Study Guide reference: Manage analytics for Dynamics 365 Contact Center -> Configure Quality Evaluation Agent, evaluation criteria, evaluation plans, and scoring.
NEW QUESTION # 115
For this question, refer to the Fabrikam, Inc. case study. You need to ensure that required information is collected during interactions with the agent in Copilot Studio, in a way that satisfies the business requirements.
Which sequence of actions, performed in order, achieves this?
Answer: D
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Dynamics 365 Contact Center AI Engineer/Course Guide/topics:
Structured information collection in Copilot Studio begins by defining what type of information must be captured. Entities provide the semantic type for values such as numbers, dates, account identifiers, locations, or custom business concepts. Once the expected entity is known, a Question node prompts the customer and associates the response with the corresponding variable.
The captured value can then be reused later in the topic or made available more broadly through appropriately scoped variables. This is critical in the Fabrikam scenario because information collected by the voice agent must remain available for downstream processing and for human escalation. Microsoft includes variable management as an explicit AB-250 voice-agent objective and supports using topic/global variables to retain and reuse customer input during the conversational journey.
Creating variables before any value exists does not establish the required structured capture logic. Publishing before defining entities and questions reverses the correct development sequence. Disabling validation and relying entirely on free-text parsing also weakens reliability because the agent loses the structured entity recognition needed for predictable automation.
The technically sound sequence is therefore entity definition, Question-node capture, and persistence of the captured result for subsequent use.
Study Guide reference: Configure agents and AI capabilities -> Configure voice agents -> Manage variables in Copilot Studio.
NEW QUESTION # 116
Hotspot Question
A company uses Dynamics 365 Customer Service. The company plans to use internal knowledge sources.
The company must be able to improve case management as follows:
- Automatically draft new knowledge articles for approval by knowledge
managers.
- Improve accuracy of recommended articles for resolutions.
You need to configure case management to meet the requirements.
Which actions should you perform? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Enable the Customer Knowledge Management Agent
To automatically draft new knowledge articles from resolved cases in Dynamics 365 Customer Service, you need to configure the Customer Knowledge Management Agent via Copilot capabilities.
-> Enable the Customer Knowledge Management Agent
1. Open the Copilot Service admin center (or Customer Service admin center).
2. Go to Knowledge in the navigation menu.
3. Select Customer Management Agent settings.
4. Check the box to enable real-time knowledge creation from current cases so the system automatically analyzes case notes, emails, and conversations upon closure.
Box 2: Configure knowledge source.
To meet the requirements of using only internal knowledge soures, you should perform the following configurations in the Customer Service admin center (or Copilot Service admin center):
Enforce Internal Knowledge Bases Only
1. Go to Productivity > Copilot for questions and emails (or Knowledge settings).
2. Under Knowledge sources, restrict the configuration to use Dynamics 365 Knowledge Base (Dataverse) only.
3. Ensure that any external search providers (such as public websites or untrusted third-party repositories) are disabled or excluded to satisfy the internal-only requirement Reference:
https://learn.microsoft.com/en-us/dynamics365/release-plan/2025wave1/service/dynamics365-contact-center/use-customer-knowledge-management-agent-update-knowledge-base
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/set-up-knowledge-management-embedded-knowledge-search
NEW QUESTION # 117
A company uses Dynamics 365 Contact Center to handle incoming interactions.
Customer service representatives (CSRs) report that when a new work item arrives, they cannot determine the type or context of the request until after accepting it.
CSRs must be able to determine key details about work items before accepting them to decide how to handle the interactions.
You need to configure how work items appear to CSRs.
What should you do?
Answer: D
Explanation:
The best action is to define the title and message shown for incoming conversations To allow customer service representatives (CSRs) to see key details and context before accepting incoming interactions, you need to create and configure custom Notification Templates.
Out-of-the-box templates cannot be modified directly.
By customizing the notification template field variables, you can alter what context is displayed on the incoming screen pop before an agent clicks accept. Administrators use Microsoft Dynamics
365 notification templates to configure specific fields-such as the customer name, the queue name, or custom case details-directly within the notification's title and message fields. This allows customer service representatives (CSRs) to evaluate the type and urgency of the interaction before accepting it. Conversely, defining rules for assigning work items only determines which agent or queue receives the item, but it does not change the physical appearance or context shown on the incoming alert banner.
Reference:
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/notification-templates
NEW QUESTION # 118
Case Study 1 - Fabrikam, Inc
Background
Fabrikam, Inc. is a mid-sized global company that provides outsourced customer support services for retail and telecommunications clients. The company operates multiple regional contact centers. Fabrikam, Inc. is transitioning to a unified cloud-based platform by implementing Microsoft Dynamics 365 Contact Center.
The goal is to improve customer satisfaction, reduce average handling time, and increase workforce productivity while enabling AI-assisted customer interactions.
Fabrikam, Inc. has an established Microsoft ecosystem, including Microsoft Azure and Microsoft Power Platform. The company requires that all implementations follow best practices for scalability, maintainability, and governance, while aligning with internal governance and security standards.
Current environment
Contact Center infrastructure
- Fabrikam, Inc. currently uses an outdated on-premises telephony system that does NOT integrate with modern CRM systems.
- The company is migrating to Dynamics 365 Contact Center to support voice-based interactions.
- Azure resources are centrally managed by the IT team.
- Azure Application Insights is provisioned but not yet connected to any contact center workload.
- Microsoft Entra ID is used for identity and access management.
Application lifecycle management (ALM)
- The company maintains separate development, test, and production environments in Microsoft Dataverse.
- Solutions are deployed as managed or unmanaged depending on the environment.
- Configuration data must be moved between environments without manual recreation.
- The IT team requires repeatable and governed deployment processes.
Users and roles
- Customer service representatives (CSRs) handle inbound customer calls.
- Supervisors monitor performance and manage workforce scheduling.
- Administrators configure and maintain the system.
- Roles are defined for CSRs, supervisors, and administrators, but permissions are not consistently enforced.
- Access must be restricted based on user responsibilities to enforce least privilege.
Business requirements
Voice channel
- Customers must be able to contact customer support through an inbound voice channel.
- Incoming calls must be routed to available CSRs based on predefined criteria.
- Customer input must be collected through an automated interaction before routing.
- Some inquiries must be resolved without involving a human representative.
- When escalation is required, CSRs must receive relevant information collected earlier in the interaction.
Workforce management (WFM)
- Supervisors must define shifts and assign schedules for CSRs.
- CSRs must receive interactions during their scheduled shifts only.
- Some shifts must allow for times that do NOT accept phone calls.
- WFM capabilities must be enabled within the contact center solution.
AI and automation
- The solution must support AI-driven capabilities to handle frequently asked customer questions.
- The system must support generative AI for natural, conversational interactions.
- When an issue cannot be resolved automatically, escalation paths must be defined.
Routing and work assignment
- Customer interactions must be managed through a structured process to ensure consistent handling.
- Information collected during the voice agent interactions must be available to CSRs.
- CSRs must be assigned to handle interactions based on their expertise.
Analytics and monitoring
- The company must monitor conversation performance and identify and troubleshoot issues affecting customer experience.
- The solution must provide detailed diagnostic information to support troubleshooting across the interaction lifecycle.
- Supervisors must be able to analyze interaction quality and identify trends and bottlenecks.
Technical requirements
Voice channel configuration
- Dynamics 365 Contact Center must be used to support voice-based customer interactions.
- The solution must support inbound calling through configured phone numbers.
- Voice interactions must be routed in a way that follows best practices for scalability and consistent performance.
IVR and voice agents
- IVR flows must support both naturally spoken input and keypad input.
- Voice agents must be configured by using Copilot Studio.
- AI agents must be able to retrieve customer data from backend systems when needed.
Security and access
- Access must be restricted based on user responsibilities and follow the principle of least privilege.
- CSRs must access records relevant to only the interactions they handle.
- Supervisors must have visibility into CSR performance and schedules.
- Administrators must have full access to configure and manage the solution.
ALM and deployment
- Production deployments must use managed solutions.
- Configuration data must be moved between environments by using supported tools and without manual recreation.
- Deployment processes should be automated to ensure consistency and reliability.
Issues
- The current system lacks integration between voice interactions and CRM systems.
- CSRs receive calls outside of their scheduled shifts.
- Fabrikam, Inc. has no consistent process for deploying configurations across environments.
- AI capabilities are underused, resulting in increased interaction volumes.
- Some customers interact from a noisy environment, which makes it difficult for CSRs and agents to serve them efficiently.
- Supervisors lack visibility into detailed conversation diagnostics.
- Access permissions are not consistently aligned with user responsibilities, causing access inconsistencies.
Drag and Drop Question
You need to design AI-driven interactions based on the voice channel business requirements.
How should you perform the configurations? To answer, move the appropriate features to the correct requirements. You may use each feature once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Intent-based interaction flow
An Intent-based interaction flow is the setup that directly addresses the problem of automatically resolving common inquiries.
Automatic Resolution: This setup uses Natural Language Processing (NLP) to understand what the caller wants (their "intent") and matches it to pre-configured bot topics. For common inquiries like "What is my order status?" or "How do I reset my password?", the AI agent can complete the task and resolve the issue without human intervention.
Self-Service Efficiency: It acts as an advanced, conversational IVR (Interactive Voice Response) that deflects high-volume, repetitive calls away from your human agents.
Box 2: Context variable configuration
To share previously collected information with downstream interactions in a Dynamics 365 Contact Center AI voice environment, you should use Context variable configuration.
To ensure that downstream components (like Azure Health Bot, Copilot Studio, or routing engines) can read what the initial voice agent collected, you must first define and map Context Variables.
Context variables act as the storage containers for the data.
Escalation context transfer is simply a mechanism that delivers those containers to a human agent. Without configuring the context variables first, the escalation transfer would have no data to pass.
Box 3: Escalation with context transfer
You should use escalation with context transfer.
In a Dynamics 365 Contact Center environment, passing collected interaction data from an AI- driven Voice channel (such as a Copilot Studio voice agent) to a live human representative is natively handled via contextual transfers.
Eliminates Customer Repetition: When the AI agent escalates the call, the entire conversational history, collected customer details, intent, and progress transfer intact.
Automatic Record Linking: Context variables passed during the escalation allow the routing engine to automatically identify and link customer profiles or existing cases.Live Transcript Availability: Once a live representative accepts the call, the complete transcript of the AI agent's voice conversation is populated directly onto their conversation widget dashboard.
Scenario: Business requirements, Voice channel
- Customers must be able to contact customer support through an inbound voice channel.
- Incoming calls must be routed to available CSRs based on predefined criteria.
- Customer input must be collected through an automated interaction before routing.
- Some inquiries must be resolved without involving a human representative.
- When escalation is required, CSRs must receive relevant information collected earlier in the interaction.
Reference:
https://learn.microsoft.com/en-us/dynamics365/contact-center/administer/set-up-voice-agents-to-use-intents
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/context-variables-for-bot
https://learn.microsoft.com/en-us/dynamics365/customer-service/develop/bot-escalate-end-conversation
NEW QUESTION # 119
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