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| Section | Objectives |
|---|---|
| Topic 1: Optimize agent productivity using Copilot and automation | - Configure workflow automation for service operations - Use Copilot for response generation and summarization |
| Topic 2: Knowledge and case management with AI | - Configure knowledge base for agent assistance - Implement case routing and automation rules |
| Topic 3: Measure and improve customer experience analytics | - Use insights to improve service quality - Analyze contact center performance metrics |
| Topic 4: Implement omnichannel engagement | - Configure digital messaging and chat channels - Enable voice and unified routing scenarios |
| Topic 5: Design AI-enabled contact center experiences | - Configure Dynamics 365 Customer Service capabilities - Implement AI-assisted agent experiences with Copilot |
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NEW QUESTION # 114
A company uses AI-enabled routing, and the customer service manager wants the system to automatically predict required skills and then apply those predicted skills during routing. You need to configure the routing to meet these requirements.
Which capability predicts the required skills automatically?
Answer: B
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Dynamics 365 Contact Center AI Engineer/Course Guide/topics:
Dynamics 365 unified routing supports intelligent skill prediction so required skills can be derived from the content of an incoming work item rather than manually assigned in every scenario. Microsoft's skills-based routing configuration includes an intelligent skill finder model, which can be used with machine-learning classification rules to attach predicted skills to work items.
The process operates before final representative assignment. The routing system analyzes the incoming request, determines which skills are likely required, attaches those skill requirements to the work item, and then evaluates representatives using the configured skill-matching algorithm. Exact Match requires the representative to meet all required skills and proficiency thresholds; Closest Match ranks suitable representatives according to the degree of skill match.
A manually maintained mapping table would be deterministic rather than predictive. A priority value influences work-item ordering but does not identify required expertise. Capacity profiles determine how much concurrent workload a representative can accept but contain no mechanism for analyzing conversation content and inferring skills.
AI-based skill prediction therefore supplies precisely the automated classification capability described in the requirement.
Study Guide reference: Configure work distribution -> Configure skills-based routing; intelligent skill finder; AI-based work classification.
NEW QUESTION # 115
Case Study 3 - VanArsdel, Ltd
Background
VanArsdel, Ltd. is a global company that provides outsourced customer support services for enterprise clients across multiple industries, including retail, healthcare, and financial services.
VanArsdel, Ltd. is implementing Microsoft Dynamics 365 Contact Center to modernize its contact center operations. The company aims to provide a unified omnichannel experience for customers and improve customer service representative (CSR) productivity through AI-driven tools and automation.
The implementation will support voice, chat, and digital messaging channels. The initial rollout focuses on voice capabilities and AI-assisted CSR experiences. The solution must be scalable and configurable using out-of-the-box functionality where possible.
The company employs approximately 500 CSRs, 50 supervisors, and a small team of system administrators responsible for configuration and maintenance. Some back-office CSRs are available for consultations with frontline CSRs.
VanArsdel, Ltd. currently operates multiple outdated CCaaS platforms across its divisions. The company is concerned about CSR adoption and therefore plans to adopt a phased approach. The company plans to use its existing CCaaS solution with Copilot Service workspace to enable adoption of the agent desktop while the voice channel and associated capabilities are developed.
Current environment
Contact Center channels
VanArsdel, Ltd. currently uses an outdated telephony system integrated with a third-party CRM.
The system lacks support for modern APIs and does not provide advanced analytics or AI capabilities.
The company plans to replace the outdated system with Dynamics 365 Contact Center and Microsoft Teams Phone functionality.
Outbound communication capabilities are limited in the current system to SMS only and must be enhanced to support proactive engagement campaigns. A third-party tool is used to manage current campaigns.
CSR experience
CSRs currently rely on multiple disconnected systems to manage customer interactions. This results in inefficiencies and increased handling times.
The new solution must provide a unified interface with embedded productivity tools, including:
- AI-powered suggestions during live interactions.
- Suggested responses based on the CSR's interaction with the agent desktop and the conversation context.
- Real-time transcription and sentiment analysis.
- Integration with company-owned knowledge bases.
CSRs must be able to interact with customers through voice and digital channels within a single workspace. The sales director requires CSRs to be able to collect orders from their third-party order management tool from the Productivity panel. CSRs must be prevented from accessing payment information.
Data protection and compliance
VanArsdel, Ltd. handles sensitive customer data, including personally identifiable information (PII) and payment details.
The company must comply with strict data protection regulations, including:
- Masking sensitive data during live interactions.
- Preventing National Identity and payment card information from being stored in transcripts and AI generated summaries.
- Ensuring secure handling of customer information across all channels.
The current system does NOT provide adequate data masking capabilities.
Integration requirements
The company uses several internal systems, including:
- A customer account management system.
- A billing platform.
- A knowledge management system.
These systems must be integrated with Dynamics 365 Contact Center to provide CSRs with relevant information during interactions.
The company also has a third-party marketing platform. However, the company currently does NOT plan to integrate the platform and instead is evaluating Customer Insights - Journeys.
Business requirements
Voice channel implementation
VanArsdel, Ltd. must implement a voice channel that meets the following requirements:
- Support inbound and outbound voice calls by using Microsoft Teams Phone.
- Enhance call controls by using SDK APIs.
- Allow supervisors to monitor and manage live calls.
- Provide real-time insights into call performance.
The solution must support scalability to handle peak call volumes during seasonal demand.
Proactive engagement
The company must implement proactive outbound engagement capabilities, including:
- Proactive Dialer to adjust call pacing based on CSR availability and answer rates.
- Trigger-based engagement based on customer actions.
- Integration with customer data to personalize outreach.
Outbound campaigns must be configurable without requiring custom code.
Agent assist and AI capabilities
VanArsdel, Ltd. must enhance CSR productivity by implementing AI-powered assistance features, including:
- Suggested responses during customer interactions.
- Automated knowledge article recommendations.
- Real-time transcription and summarization.
- Real-time assistance sent to the CSR in the send message box during chat conversations.
The company also plans to extend Copilot capabilities by integrating custom plugins, tools, and connectors.
Additionally, a bot must be implemented to support CSRs by providing interactable contextual guidance during interactions.
Voice agent configuration
The company must configure voice agents to support natural and efficient customer interactions.
The solution must include:
- Real-time speech recognition.
- Accurate transcription of customer conversations.
- Configurable voice settings to optimize performance.
Voice agents must follow best practices to ensure high-quality interactions and minimize errors.
Technical requirements
Channel Integration Framework
VanArsdel, Ltd. requires a phased approach to deploying the voice channel. The company plans to use its existing CCaaS solution with Copilot Service workspace to enable adoption of the agent desktop while the voice channel and associated capabilities are developed. The company requires the Channel Integration Framework to be built to:
- Click-to-act functionality for outbound communication.
- Integration with third-party applications.
- A consistent user experience for CSRs.
Sensitive data masking
The solution must include sensitive data masking capabilities that:
- Automatically detect and mask sensitive information during interactions.
- Prevent exposure of sensitive data in logs and transcripts.
- Allow administrators to configure masking rules.
Omnichannel JavaScript API
Custom extensions must be developed by using the Omnichannel JavaScript API to:
- Provide enhanced automation during a conversation.
- Display conversation dynamically based on the defined business process.
- Provide contextual information during customer interactions.
These extensions must be maintainable and align with best practices.
Supervisor experience
Supervisors must have access to advanced analytics and monitoring tools, including:
- Real-time dashboards for intraday CSR performance.
- Historical insights into call volumes and trends.
- Tools to manage and optimize CSR workloads.
The supervisor app must be used to provide actionable insights that improve operational efficiency.
Issues
VanArsdel, Ltd. has identified the following issues in the current environment:
- CSRs experience delays due to switching between multiple systems.
- Sensitive customer data is exposed during interactions.
- Outbound engagement capabilities are limited and not automated.
- Supervisors lack visibility into real-time performance metrics.
- Voice interactions lack transcription and AI-assisted features.
Problem statement
VanArsdel, Ltd. must implement a modern contact center solution by using Dynamics 365 Contact Center to:
- Improve CSR productivity through AI and automation.
- Ensure compliance with data protection regulations.
- Enhance customer engagement through proactive outreach.
- Provide a unified and efficient CSR experience.
- Enable supervisors to monitor and optimize operations effectively.
The solution must be scalable, secure, and aligned with best practices for configuring channels, AI capabilities, and integrations.
Drag and Drop Question
You need to implement programmatic control of voice interactions to enable interactions with back-office CSRs.
Which modules should you use? To answer, move the appropriate modules to the correct requirements. You may use each module 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: Presence
To ensure the accuracy of the back-office availability status when integrating a third-party CCaaS solution with the Copilot Service workspace, you must use Presence.
In Dynamics 365 Contact Center / Omnichannel, Presence defines the representative's availability status (such as Available, Busy, or custom states). When blending external CCaaS voice capabilities with the native workspace, the Presence Synchronization APIs (e.g., CCaaS_GetPresence) are utilized programmatically to update and reflect accurate agent availability in real time across both platforms, preventing overbooking.
Box 2: Conversation
You can use the Conversation component to get a Copilot summary of an ongoing voice interaction in Dynamics 365 Contact Center.In a hybrid CCaaS (Bring Your Own Carrier/Channel) deployment model-where you use a third-party voice solution alongside the Copilot Service workspace-the native Dynamics 365 Conversation component is designed to display live transcripts and Copilot AI features like real-time summaries, sentiment analysis, and next-best actions.
Reference:
https://learn.microsoft.com/en-us/dynamics365/contact-center/use/voice-channel-agent-experience
https://learn.microsoft.com/en-us/dynamics365/guidance/reference-architectures/contact-center-dynamics-365-customer-service-enterprise
NEW QUESTION # 116
Hotspot Question
A company uses Dynamics 365 Contact Center to support customer service representatives (CSRs). In addition to internal knowledge articles, the company maintains documentation in external systems.
CSRs require access to both internal and external knowledge when searching for information during customer interactions.
External knowledge is not currently visible in search results. CSRs must switch between systems to find relevant information.
You need to ensure external knowledge is available and searchable within the Contact Center experience.
How should you perform the configurations? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Define external knowledge sources
You should define external knowledge search providers in Microsoft Dynamics 365 to ingest or federated search external documentation directly within the system.
To make external documentation searchable for customer service representatives (CSRs), you must configure External Search Providers within the Dynamics 365 Contact Center or Customer Service admin center.
This enables two main approaches:
Federated Search: Dynamics 365 queries the external system in real time (e.g., via a search connector) and displays the results alongside internal knowledge articles.
Knowledge Ingestion (Dataverse Sync): External articles are imported and synced directly into Microsoft Dataverse, allowing them to native behave exactly like internal articles.
Box 2: Enable federated search across knowledge sources
Federated Search: Dynamics 365 queries the external system in real time (e.g., via a search connector) and displays the results alongside internal knowledge articles.
Reference:
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/set-up-knowledge-management-embedded-knowledge-search
NEW QUESTION # 117
A company relies on knowledge articles to support its CSRs, who report that relevant articles are not showing up when they search during case resolution. Search results need to reliably surface relevant knowledge articles based on the user's query. You need to improve the accuracy of knowledge search results.
Which two actions should you perform? Each correct answer presents part of the solution.
Answer: A,B
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Dynamics 365 Contact Center AI Engineer/Course Guide/topics:
Dynamics 365 knowledge search uses Dataverse search-historically called relevance search-to retrieve knowledge articles according to query relevance. Microsoft states that when Dataverse search is enabled, the knowledge-management search control uses Dataverse search; otherwise, it falls back to full-text search.
Search accuracy also depends on which Knowledge Article columns are indexed. Microsoft documents that the table's Quick Find configuration determines searchable fields in the Dataverse search index. Find columns become searchable, while view and filter columns influence returned data and filtering behavior.
For knowledge articles specifically, Microsoft's prerequisites identify important searchable columns such as Title, Content, Keywords, Article Public Number, Language, Status, and other metadata. If relevant business content is absent from the searchable column configuration, searches may fail to surface articles even when the information exists in the records.
Search filters can help representatives narrow already-returned results but do not substitute for indexing relevant content. Versioning manages article lifecycle rather than search relevance.
Study Guide reference: Configure the representative experience -> Configure knowledge search, Dataverse search, searchable fields, and knowledge search behavior.
NEW QUESTION # 118
A company wants billing questions to automatically route to representatives skilled in billing, and technical questions to route to technical specialists, based on what the customer actually says rather than a menu choice.
You need to recommend a routing configuration.
What should you use?
Answer: C
Explanation:
Intent-based routing uses AI to interpret the customer's stated need (from free text or speech) and routes the conversation to the appropriate skill group or queue accordingly, rather than relying on a static menu or rule set. Preferred representative routing tries to reconnect a customer with a specific representative they've worked with before, which doesn't address topic-based routing.
NEW QUESTION # 119
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