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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure work distribution and routing | 13% | - Implement workforce management
|
| Topic 2: Configure agents and AI capabilities | 13% | - Manage autonomous service agents
|
| Topic 3: Manage analytics and continuous improvement | 13% | - Monitor and troubleshoot operations
|
| Topic 4: Configure representative experience and productivity | 18% | - Configure supervisor capabilities
|
| Topic 5: Implement channels and engagement experiences | 33% | - Configure contact center environments
|
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NEW QUESTION # 108
A company uses Dynamics 365 Customer Service. The company has a custom table to track internal issues. Customer service representatives (CSRs) track cases separately.
CSRs must be able to resolve issues faster and consistently.
You need to ensure that knowledge articles are available during issue resolution.
What should you do first?
Answer: B
Explanation:
To make knowledge articles available for a custom table in Dynamics 365 Customer Service, the step you must take first is to enable knowledge articles for the table (commonly referred to in the system settings as enabling Knowledge Management for the table).
Why this step comes first:
Dataverse Relationship Creation: When you enable knowledge articles/management for a custom table, Dynamics 365 automatically builds the necessary background architecture, including a many-to-many relationship (msdyn_<Entity_Name>_knowledgearticle) between your custom table and the Knowledge Article entity.
Incorrect:
[Not B]
Prerequisite for Search: You cannot add a Knowledge Base Search control to a form or configure knowledge search in the productivity/side pane for a table until that table has officially been enabled to support knowledge management.
Reference:
https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/add-knowledge-base-search-control-forms
NEW QUESTION # 109
Representatives frequently send the same multi-step response (apology, refund policy link, case closure note) and want to insert it with a single click instead of retyping it each time.
You need to recommend a productivity tool.
What should you configure?
Answer: D
Explanation:
Macros let representatives trigger a predefined sequence of actions (such as inserting text, updating fields, or closing a case) with one click, ideal for repetitive multi-step tasks. Session templates control what opens when a conversation starts, and notification templates govern alert formatting - neither replays a multi-step response sequence.
NEW QUESTION # 110
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: D
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 # 111
For this question, refer to the Fabrikam, Inc. case study. You need to design AI-driven interactions that meet the AI and automation business requirements, specifically supporting generative, conversational interactions for handling frequently asked customer questions.
What should you configure?
Answer: B
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Dynamics 365 Contact Center AI Engineer/Course Guide/topics:
Generative answers grounded in approved organizational knowledge allow a Copilot Studio agent to respond naturally to customer questions without requiring every possible utterance or FAQ variation to be manually represented as a deterministic topic. The agent retrieves relevant knowledge and uses that grounded material to construct a conversational response to the customer's request.
Microsoft's Contact Center architecture explicitly supports AI agents for autonomous self-service, and Copilot Studio generative orchestration can dynamically select knowledge, topics, or actions according to the customer's natural-language intent. This makes the approach substantially more flexible than a conventional fixed-menu IVR while still allowing the knowledge sources to constrain and ground generated responses.
The Fabrikam requirements require AI-driven handling of frequently asked questions and explicitly call for generative, natural conversational interactions. Therefore, a grounded Copilot Studio implementation directly addresses both requirements.
A fixed IVR menu may be appropriate where deterministic routing is required, but it cannot satisfy the generative requirement. An emailed FAQ is asynchronous and does not participate in the live interaction. A greeting message provides no question-answering capability.
Study Guide reference: Configure agents and AI capabilities -> Configure voice agents by using generative AI or classic orchestration; configure knowledge-grounded AI interactions.
NEW QUESTION # 112
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: B
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 # 113
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