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| Section | Weight | Objectives |
|---|---|---|
| Implement Channels | 30-35% | - Configure customer engagement channels
|
| Monitor and Optimize Contact Center Operations | - Operational excellence
| |
| Configure Agents and AI Capabilities | 10-15% | - Enable AI-assisted experiences
|
| Configure Users, Security, and Work Distribution | - Manage operational settings
| |
| Deploy Dynamics 365 Contact Center | 15-20% | - Deploy contact center environments
|
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NEW QUESTION # 23
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 # 24
A company maintains product documentation in a third-party knowledge base outside Dataverse.
Representatives need to search that content alongside internal knowledge articles from within the Contact Center productivity panel.
You need to recommend a configuration.
What should you do?
Answer: D
Explanation:
Dynamics 365 Contact Center supports integrating external knowledge sources so they can be searched together with internal knowledge articles inside the representative's productivity panel, avoiding manual duplication of content or forcing representatives to switch tools.
NEW QUESTION # 25
Hotspot Question
A company uses persistent chat and messaging channels in a contact center.
The company requires tighter conversation lifecycle control to keep queues clean and customer service representative workloads current.
The company has the following requirements:
- Conversations that remain in a waiting status without customer
engagement must automatically close after a defined period.
- Chat conversations that move to wrap-up must automatically close
after a business-defined custom time limit.
You need to configure the channels to meet the requirements.
Which action should you perform 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: Configure auto-close after inactivity in the workstream
To automatically close inactive conversations and keep your queues clean in a Dynamics 365 Contact Center environment, you need to configure Timeout rules within the workspace workstreams. This feature evaluates customer inactivity and shifts conversations from an open or waiting state directly to closed, freeing up your representative's capacity.
Configuration Steps:
1. In your contact center admin center, open the specific workstream you want to configure.
2. Locate the Work distribution area within the workstream settings.
3. Select See more to expand the hidden or additional distribution properties.
4. Locate the Auto-close after inactivity setting and choose or enter the desired time period (e.g.,
5 minutes). Once a conversation remains in a Waiting state without activity past this threshold, it will automatically move to the Closed state.
Box 2: Configure channel state by using the web API
To automatically close chat conversations that have moved into the wrap-up state after a business-defined custom time limit, you must configure channel state by using the web API.
In Dynamics 365 Contact Center / Customer Service, the default time for automatically closing a live chat in the Wrap-up state is 15 minutes. This duration is managed globally by the msdyn_autocloseliveworkitemafter attribute found within the msdyn_occhannelstateconfigurations entity.
To override this default and establish a custom business time limit for the wrap-up state specifically, administrators must execute a PATCH request against this entity record using the Web API.
Reference:
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/auto-close-conversation-powerapps
NEW QUESTION # 26
A contact center wants to forecast staffing needs for the next quarter based on historical contact volume and handle time, then generate shift schedules automatically.
You need to identify the capability set to configure.
What should you use?
Answer: B
Explanation:
Workforce management (WFM) capabilities in Dynamics 365 Contact Center include demand forecasting based on historical patterns and shift/schedule generation and management, either natively or via third-party WFM integration. Capacity profiles limit concurrent work per representative but don't forecast demand or build schedules; Agent hub rollout plans manage phased AI agent deployment, not staffing.
NEW QUESTION # 27
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.
You need to design a voice agent that meets the voice channel and IVR technical requirements.
What should you do?
Answer: C
Explanation:
To meet the requirements for a Dynamics 365 Contact Center environment, the best action is to configure voice agent interactions before defining routing logic.
In a scalable, best-practice voice architecture using Copilot Studio and unified routing:
The AI voice agent acts as the frontline entry point (the IVR) for the inbound phone number.
To route a call correctly based on what happens during the IVR interaction (such as customer input, intent detection, or data retrieved from backend systems), the routing engine needs to know where the call is coming from and what intent or context variables the voice agent passes to it.
Therefore, you must build the voice agent (Copilot Studio bot) and link it to your channel/phone number before you can define the routing logic, queues, and rules that handle the handoff from the bot to human agents.
Scenario:
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.
Reference:
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/voice-channel-inbound-calling
NEW QUESTION # 28
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