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| Section | Objectives |
|---|---|
| Topic 1: Design AI-enabled contact center experiences | - Implement AI-assisted agent experiences with Copilot - Configure Dynamics 365 Customer Service capabilities |
| Topic 2: Optimize agent productivity using Copilot and automation | - Use Copilot for response generation and summarization - Configure workflow automation for service operations |
| Topic 3: Measure and improve customer experience analytics | - Analyze contact center performance metrics - Use insights to improve service quality |
| Topic 4: Implement omnichannel engagement | - Configure digital messaging and chat channels - Enable voice and unified routing scenarios |
| Topic 5: Knowledge and case management with AI | - Configure knowledge base for agent assistance - Implement case routing and automation rules |
Pass4Test의 덤프선택으로Microsoft AB-250인증시험에 응시한다는 것 즉 성공과 멀지 않았습니다. 여러분의 성공을 빕니다.
질문 # 107
You need to configure inbound voice functionality and ensure that calls are routed to the appropriate CSR based on predefined criteria.
How should you perform the configurations? To answer, select the appropriate components in the answer area. NOTE: Each correct selection is worth one point.
정답：
설명：
질문 # 108
You need to design a voice agent that satisfies the voice channel and IVR technical requirements.
What should you do?
정답：D
질문 # 109
A company plans to launch an outbound campaign targeting customers based on predefined engagement conditions.
The campaign must define how interactions are initiated, processed, and tracked.
You need to configure the campaign structure.
What should you configure?
정답：D
설명：
Comprehensive and Detailed 150 to 250 words of Explanation From Dynamics 365 Contact Center AI Engineer/Course Guide/topics:
A proactive engagement configuration is the campaign-level construct used to initiate outbound customer contact under defined business conditions. Dynamics 365 Contact Center supports proactive voice and SMS engagement and provides configuration for audience sourcing, engagement type, dialing mode, routing, pacing, frequency limits, outcomes, and reattempt behavior.
Microsoft describes proactive engagement as the mechanism for initiating outbound communications based on defined conditions and business workflows. It can integrate with Customer Insights - Journeys or other triggering processes and then determine how the outbound interaction should be executed. Administrators create an outbound workstream and configure a proactive engagement to define dialing behavior, operational rules, routing details, and campaign execution.
A queue participates in determining where representative-led work is handled, but it does not represent the overall campaign definition. A routing ruleset determines work routing after classification and is only one element of the processing architecture. Dashboard metrics monitor campaign execution after configuration and therefore do not define how interactions are initiated.
The uploaded AB-250 material identifies proactive engagement as the required campaign structure.
Study Guide reference: Implement channels -> Configure proactive outbound engagement -> Configure proactive engagements, dialing modes, routing, audiences, and outcomes.
질문 # 110
You need to deploy configuration changes across environments based on the technical requirements.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
정답：
설명：
질문 # 111
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?
정답：A
설명：
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.
질문 # 112
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