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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy Dynamics 365 Contact Center | 15-20% | - Deploy contact center environments
|
| Topic 2: Configure Agents and AI Capabilities | 10-15% | - Enable AI-assisted experiences
|
| Topic 3: Monitor and Optimize Contact Center Operations | - Operational excellence
| |
| Topic 4: Configure Users, Security, and Work Distribution | - Manage operational settings
| |
| Topic 5: Implement Channels | 30-35% | - Configure customer engagement channels
|
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NEW QUESTION # 48
Drag and Drop Question
A company uses AI-enabled routing.
The customer service manager requires the routing to perform the following:
- Predict required skills automatically.
- Apply predicted skills during routing.
You need to configure the routing to meet the requirements.
Which action should you perform for each requirement? To answer, move the appropriate actions to the correct requirements. You may use each action 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: Configure an intelligent skill finder model
To automatically predict required skills for incoming conversations in a Dynamics 365 Contact Center environment with AI-enabled routing, you must configure an Intelligent Skill Finder model.
This machine learning feature eliminates the need to maintain complex manual declarative rules.
Box 2: Create a machine learning classification rule.
To apply predicted skills during routing in Dynamics 365 Contact Center, set up machine learning-based skill classification rulesets using the Intelligent Skill Finder Model.
Add Classification Rulesets: Create a machine learning-based skill classification ruleset in the unified routing workflow and link your trained skill finder model to automatically tag incoming work items with predicted sk.
Reference:
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/set-up-skill-based-routing
NEW QUESTION # 49
You need to design voice interactions that resolve the caller interaction issues.
Which input method should you configure? 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:
NEW QUESTION # 50
A company wants customers to start a conversation on the website, and if no representative responds within a set time, the chat should automatically offer a bot-assisted path instead of a busy signal.
You need to configure this behavior.
What should you do?
Answer: D
Explanation:
Overflow and fallback settings on a workstream/queue define what happens when a conversation cannot be routed within acceptable wait times or capacity - such as rerouting to a bot, a different queue, or a fallback message. Pre-chat surveys collect information before a conversation starts, proactive chat invites customers to start a chat, and quick replies are predefined agent responses
- none of these address capacity-based failover.
NEW QUESTION # 51
Supervisors at a company must be able to perform the following:
- View and manage live conversations before taking action.
- Reallocate conversations between customer service representatives.
You need to configure the supervisor settings 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:
Topic 2, Fabrikam, Inc.
Overview
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.
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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 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.
NEW QUESTION # 52
A healthcare company must ensure that credit card numbers and national ID numbers typed by customers in chat never appear in plain text to representatives or in stored transcripts.
You need to configure this protection.
What should you do?
Answer: B
Explanation:
Sensitive data masking automatically detects and redacts patterns such as payment card numbers and government ID numbers in real time within the conversation and in stored transcripts, without relying on customer behavior or removing transcript functionality altogether (which would harm quality and compliance review).
NEW QUESTION # 53
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