Microsoft  PL-600  Microsoft Power Platform Solution Architect  Exam  Dumps and Practice Test Questions Set 5 Q 81- 100

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Question 81

A company wants to automate employee leave request approvals, including routing based on leave type, notifying managers, and logging approval history for compliance. Which solution is most suitable?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual leave request submission and approval.

C) Model-driven dashboards showing leave status.

D) Power BI dashboards for leave trend analytics.

Answer: A)

Explanation

A) Power Automate provides fully automated workflows for leave request approvals. When an employee submits a leave request in Dataverse, conditional logic evaluates the leave type, duration, and department policies to route approvals to the appropriate manager. Notifications are automatically sent via Teams or email to managers and the employee, ensuring timely action. Escalation workflows can route pending or overdue requests to higher-level management to maintain SLA compliance. All approval decisions, comments, and workflow actions are logged in Dataverse, providing a centralized and auditable repository for compliance and reporting. This solution is low-code, operational, scalable, and efficient, reducing manual errors, ensuring consistent adherence to policies, and improving employee satisfaction. Automated workflows also enable real-time tracking and reporting, helping HR teams monitor leave balances and departmental workloads accurately.

B) Canvas apps could allow manual submission and approval of leave requests. While feasible for small organizations, this approach is manual, error-prone, and time-consuming, lacking automated routing, conditional approvals, notifications, and centralized audit logs. High volumes of leave requests would reduce operational efficiency and increase the likelihood of missed approvals.

C) Model-driven dashboards can display leave request statuses, pending approvals, and overall leave trends. While useful for monitoring, dashboards cannot automate routing, approvals, or notifications, making them primarily monitoring tools rather than operational workflow solutions.

D) Power BI dashboards provide insights into leave trends, departmental leave balances, and historical data. While valuable for reporting, Power BI cannot execute operational workflows, trigger notifications, or approve leave requests, making it purely analytical.

The correct answer is A because Power Automate enables automated, conditional leave request approvals, notifications, and audit logging, integrated with Dataverse to ensure operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 82

A company wants to automate procurement request approvals, including validation, routing based on purchase amount, notifications, and recording decisions for auditing. Which approach is most appropriate?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual procurement submission and approval.

C) Model-driven dashboards showing procurement status.

D) Power BI dashboards for procurement analytics.

Answer: A)

Explanation

A) Power Automate allows automated procurement request approvals. When a request is submitted in Dataverse, workflows validate details such as item type, quantity, and budget against organizational policies. Conditional logic routes approvals based on thresholds, department, or vendor type. Notifications automatically alert managers and requesters about pending approvals or actions. Escalation workflows ensure overdue requests are routed to higher-level management to maintain SLA compliance. Approval decisions and workflow actions are logged in Dataverse, providing a centralized, auditable repository for compliance, reporting, and performance monitoring. This solution is low-code, operational, scalable, and efficient, reducing manual effort, improving approval speed, and ensuring adherence to procurement policies. Integration with ERP or financial systems allows automated updates of purchase orders or budgets, enhancing operational efficiency.

B) Canvas apps could allow manual submission and approval of procurement requests. While possible for small teams, this approach is manual, slow, and error-prone, lacking automated validation, conditional routing, notifications, and audit logging. High volumes of requests would lead to delays and compliance risks.

C) Model-driven dashboards can visualize procurement request statuses, pending approvals, and completed requests. While helpful for monitoring, dashboards cannot validate requests, automate routing, or send notifications, limiting operational utility.

D) Power BI dashboards provide analytical insights into procurement trends, approval cycles, and budget compliance. While useful for reporting, Power BI cannot perform operational workflows, validate requests, or trigger notifications, making it purely analytical.

The correct answer is A because Power Automate automates validation, routing, notifications, and audit logging for procurement requests, integrated with Dataverse to ensure operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 83

A company wants to automate performance review workflows, including conditional routing based on role, notifications to managers and employees, and tracking approval history. Which solution is most suitable?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual performance review tracking.

C) Model-driven dashboards showing review status.

D) Power BI dashboards for performance analytics.

Answer: A)

Explanation

A) Power Automate enables automated performance review workflows. When a review is initiated in Dataverse, conditional logic routes tasks to managers or reviewers based on employee role, department, or review type. Notifications are automatically sent to employees, managers, and HR to ensure timely completion of review tasks. Escalation workflows can alert HR or management if reviews are overdue, maintaining SLA compliance and organizational standards. All review data, comments, and workflow actions are stored in Dataverse for auditing, reporting, and compliance. This solution is low-code, operational, scalable, and efficient, improving review consistency, reducing manual errors, and ensuring a structured and timely performance evaluation process. Automated workflows also enable analytics, real-time tracking, and reporting without manual intervention.

B) Canvas apps could allow manual tracking of performance reviews. While feasible for small teams, this approach is manual, slow, and error-prone, lacking automated routing, notifications, and centralized tracking. High volumes of reviews would reduce operational efficiency and risk missed deadlines.

C) Model-driven dashboards can display review progress and pending approvals. While monitoring is useful, dashboards cannot route reviews, send notifications, or trigger escalations, limiting operational functionality.

D) Power BI dashboards provide insights into performance review trends, completion rates, and departmental compliance. While valuable for analytics, Power BI cannot perform operational review workflows, making it purely analytical.

The correct answer is A because Power Automate automates conditional routing, notifications, and audit logging for performance reviews, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 84

A company wants to automate customer survey responses, including sentiment analysis, routing negative feedback for follow-up, and logging results in Dataverse. Which solution is most appropriate?

A) Power Automate flows with AI Builder, conditional logic, and Dataverse integration.

B) Canvas app for manual survey review and follow-up.

C) Model-driven dashboards showing survey completion.

D) Power BI dashboards for survey analytics.

Answer: A)

Explanation

A) Power Automate allows automated handling of survey responses. When a survey response is submitted to Dataverse, AI Builder can analyze sentiment, categorizing responses as positive, neutral, or negative. Conditional workflows automatically route negative responses to customer success teams or management for follow-up. Notifications are sent to responsible staff to ensure timely resolution. Dataverse serves as a centralized repository for responses, classifications, workflow actions, and follow-up notes, enabling auditing, reporting, and trend analysis. This solution is low-code, operational, scalable, and efficient, reducing manual review effort, ensuring timely action on critical feedback, and improving customer satisfaction. Automated workflows ensure consistent handling, maintain SLA adherence, and provide management with real-time visibility into survey feedback and trends.

B) Canvas apps could allow manual review and follow-up of survey responses. While feasible for small volumes, this approach is manual, slow, and error-prone, lacking automated sentiment analysis, routing, notifications, and centralized logging. High-volume surveys would overwhelm staff and increase the risk of delayed response to critical feedback.

C) Model-driven dashboards can show survey completion and pending responses. While helpful for monitoring, dashboards cannot perform sentiment analysis, automate routing, or trigger follow-ups, limiting operational effectiveness.

D) Power BI dashboards provide analytical insights into survey trends, satisfaction scores, and departmental performance. While valuable for reporting, Power BI cannot automate sentiment analysis, routing, or notifications, making it purely analytical.

The correct answer is A because Power Automate with AI Builder automates sentiment analysis, routing, notifications, and audit logging, integrated with Dataverse for operational efficiency, compliance, and proactive customer service. Other options are manual or analytical.

Question 85

A company wants to automate training course enrollments, including role-based assignment, notifications to employees, and tracking completion in Dataverse. Which solution is most suitable?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual course enrollment.

C) Model-driven dashboards showing enrollment status.

D) Power BI dashboards for training analytics.

Answer: A)

Explanation

A) Power Automate enables automated training enrollment workflows. When employee records are created or updated in Dataverse, conditional logic assigns courses based on role, department, or skill requirements. Notifications are sent automatically to employees and managers, reminding them of deadlines and assigned courses. Escalation workflows ensure overdue or incomplete enrollments are flagged for follow-up. Dataverse centralizes enrollment data, course completion records, and workflow actions for auditing and reporting. This solution is low-code, operational, scalable, and efficient, improving compliance, reducing manual effort, and ensuring timely employee training. Automated workflows also provide management with real-time visibility into completion rates, compliance gaps, and workforce development metrics.

B) Canvas apps could allow manual course enrollment and tracking. While feasible for small teams, this approach is manual, error-prone, and inefficient, lacking automated role-based assignment, notifications, or centralized tracking. High volumes of enrollments would reduce operational efficiency and risk compliance issues.

C) Model-driven dashboards can visualize course enrollment and completion statuses. While helpful for monitoring, dashboards cannot assign courses, send notifications, or trigger escalations, limiting operational functionality.

D) Power BI dashboards provide analytical insights into course completion rates, compliance trends, and departmental training effectiveness. While valuable for reporting, Power BI cannot perform operational enrollment workflows or notifications, making it purely analytical.

The correct answer is A because Power Automate automates role-based training assignments, notifications, tracking, and escalation, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 86

A company wants to automate incident management for IT support, including categorization, assignment based on technician availability, SLA tracking, and escalation for unresolved incidents. Which solution is most appropriate?

A) Power Automate flows with AI Builder, conditional logic, and Dataverse integration.

B) Canvas app for manual incident logging and assignment.

C) Model-driven dashboards showing incident statuses.

D) Power BI dashboards for incident trend analytics.

Answer: A)

Explanation

A) Power Automate allows automated incident management workflows. When a new incident is submitted to Dataverse, AI Builder can categorize it based on description, keywords, or urgency, ensuring accurate routing to the appropriate technician or support team. Conditional logic evaluates technician availability, skillset, and workload to assign incidents efficiently. SLA tracking ensures incidents are resolved within agreed timelines, and escalation workflows automatically route unresolved or overdue incidents to supervisors or higher-level support staff. Notifications alert technicians and managers about new or pending incidents, enabling timely responses. Dataverse serves as a centralized repository for incident details, assignment history, SLA metrics, and workflow logs, supporting compliance and reporting. This solution is low-code, operational, scalable, and efficient, reducing human errors, ensuring SLA compliance, improving incident response times, and increasing customer satisfaction. Automated categorization and routing streamline operations, allowing IT teams to focus on resolution rather than administrative tasks.

B) Canvas apps could allow manual logging, categorization, and assignment of incidents. While feasible for small IT teams, this approach is manual, slow, and error-prone, lacking AI-based classification, SLA tracking, automated routing, and escalation workflows. High incident volumes would reduce operational efficiency and SLA compliance.

C) Model-driven dashboards can visualize incident status, pending assignments, and SLA compliance. While useful for monitoring, dashboards cannot automate categorization, routing, or notifications, limiting operational effectiveness.

D) Power BI dashboards provide analytics on incident trends, technician performance, and SLA compliance. While valuable for reporting, Power BI cannot perform operational workflows, automate assignments, or escalate incidents, making it purely analytical.

The correct answer is A because Power Automate with AI Builder and Dataverse enables automated categorization, assignment, SLA tracking, notifications, and escalation, ensuring operational efficiency, SLA adherence, and improved IT service delivery. Other options are manual or analytical.

Question 87

A company wants to automate expense reimbursement approvals, including validation, routing based on amount thresholds, notifications, and recording decisions for auditing. Which solution is most suitable?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual expense submission and approval.

C) Model-driven dashboards showing expense approval status.

D) Power BI dashboards for expense analytics.

Answer: A)

Explanation

A) Power Automate enables automated expense reimbursement workflows. When an employee submits an expense in Dataverse, workflows validate data against rules such as allowable amounts, expense categories, and departmental budgets. Conditional routing directs approvals to the appropriate manager based on thresholds, ensuring compliance with organizational policies. Notifications alert approvers and submitters about pending actions or approvals. Escalation workflows flag overdue requests to higher management, maintaining SLA adherence. Approval decisions and workflow logs are stored in Dataverse, providing a centralized, auditable repository for compliance and reporting. This solution is low-code, operational, scalable, and efficient, reducing manual effort, speeding up approvals, and ensuring consistent application of expense policies. Automated validation minimizes errors, prevents policy violations, and enhances financial controls.

B) Canvas apps could allow manual submission and approval of expenses. While functional for small teams, this approach is manual, error-prone, and inefficient, lacking automated validation, conditional routing, notifications, and audit logging. High volumes of expenses would slow processes and increase the risk of non-compliance.

C) Model-driven dashboards can provide visibility into expense approval statuses, pending approvals, and completed actions. While helpful for monitoring, dashboards cannot validate expenses, route approvals, or trigger notifications, limiting operational functionality.

D) Power BI dashboards provide analytical insights into expense trends, departmental spending, and approval cycles. While valuable for reporting, Power BI cannot perform operational workflows, validate submissions, or route approvals, making it purely analytical.

The correct answer is A because Power Automate automates validation, conditional approval routing, notifications, and audit logging, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 88

A company wants to automate employee performance review routing, including conditional routing based on department and role, notifications, and tracking completion in Dataverse. Which solution is most appropriate?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual review tracking.

C) Model-driven dashboards showing review progress.

D) Power BI dashboards for performance analytics.

Answer: A)

Explanation

A) Power Automate allows automated performance review workflows. When a review cycle is initiated in Dataverse, conditional logic routes reviews to managers and reviewers based on employee department, role, or review type. Notifications are sent automatically to reviewers and employees, reminding them of deadlines and pending actions. Escalation workflows alert HR or management if reviews are overdue, ensuring compliance with organizational policies and timelines. Dataverse centralizes review data, including comments, scores, and workflow history, providing an auditable repository for compliance, reporting, and trend analysis. This solution is low-code, operational, scalable, and efficient, improving review consistency, reducing manual errors, and enhancing transparency. Automated workflows enable HR teams to monitor completion rates, identify bottlenecks, and maintain standardized review processes across the organization.

B) Canvas apps could allow manual tracking of performance reviews. While feasible for small organizations, this approach is manual, slow, and error-prone, lacking automated routing, notifications, and centralized logging. High review volumes would reduce efficiency and increase the risk of missed deadlines.

C) Model-driven dashboards can display review statuses, pending approvals, and progress metrics. While monitoring is useful, dashboards cannot assign reviews, send notifications, or trigger escalations, limiting operational effectiveness.

D) Power BI dashboards provide insights into performance trends, completion rates, and departmental compliance. While valuable for reporting, Power BI cannot perform operational review workflows or routing, making it purely analytical.

The correct answer is A because Power Automate automates conditional review routing, notifications, and audit logging, integrated with Dataverse to ensure operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 89

A company wants to automate marketing campaign approval workflows, including conditional routing based on budget and campaign type, notifications, and recording approval history. Which solution is most suitable?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual campaign submission and approval.

C) Model-driven dashboards showing campaign status.

D) Power BI dashboards for campaign analytics.

Answer: A)

Explanation

A) Power Automate enables automated workflows for marketing campaign approvals. When a campaign is submitted in Dataverse, conditional logic evaluates the budget, campaign type, and department to route it to the appropriate approvers. Notifications via Teams or email alert campaign owners and approvers about pending actions. Escalation workflows ensure delayed approvals are routed to higher-level management to maintain SLA compliance. All approval decisions, comments, and workflow logs are stored in Dataverse, providing a centralized, auditable repository for compliance and reporting. This solution is low-code, operational, scalable, and efficient, reducing manual errors, improving approval timelines, and ensuring consistent governance and accountability for marketing campaigns. Integration with project management or financial tools can automate downstream actions such as campaign execution or budget updates.

B) Canvas apps could allow manual submission and approval of campaigns. While feasible for small teams, this approach is manual, error-prone, and inefficient, lacking automated routing, conditional approvals, notifications, and audit logging. High campaign volumes would increase delays and reduce operational efficiency.

C) Model-driven dashboards can provide visibility into campaign approval statuses, pending actions, and completed approvals. While helpful for monitoring, dashboards cannot automate routing, notifications, or approvals, making them primarily monitoring tools rather than operational solutions.

D) Power BI dashboards provide analytical insights into campaign performance, approval times, and budget adherence. While valuable for reporting, Power BI cannot perform operational workflows, send notifications, or route approvals, making it purely analytical.

The correct answer is A because Power Automate automates conditional campaign approvals, notifications, and audit logging, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 90

A company wants to automate training enrollment processes, including role-based assignment, notifications, and tracking completion in Dataverse. Which solution is most appropriate?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual course enrollment.

C) Model-driven dashboards showing enrollment status.

D) Power BI dashboards for training analytics.

Answer: A)

Explanation

A) Power Automate enables automated training enrollment workflows. When employee records are created or updated in Dataverse, conditional logic assigns relevant courses based on role, department, or skill requirements. Notifications automatically remind employees and managers of assigned courses and completion deadlines. Escalation workflows flag overdue enrollments for follow-up, ensuring compliance with mandatory training schedules. Dataverse centralizes enrollment records, completion data, and workflow actions for auditing, reporting, and compliance monitoring. This solution is low-code, operational, scalable, and efficient, reducing administrative effort, ensuring timely training completion, and improving compliance. Automated workflows provide management with real-time visibility into completion rates, enabling proactive interventions and workforce skill tracking.

B) Canvas apps could allow manual course enrollment and tracking. While feasible for small teams, this approach is manual, error-prone, and inefficient, lacking automated role-based assignments, notifications, or centralized tracking. High volumes of enrollments would reduce operational efficiency and risk non-compliance.

C) Model-driven dashboards can visualize course enrollment and completion status. While monitoring is useful, dashboards cannot assign courses, send notifications, or trigger escalations, limiting operational functionality.

D) Power BI dashboards provide analytics on course completion trends, employee participation, and compliance rates. While valuable for reporting, Power BI cannot perform operational workflows or notifications, making it purely analytical.

The correct answer is A because Power Automate automates role-based training assignments, notifications, tracking, and escalation, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 91

A company wants to automate customer support ticket handling, including AI-based categorization, routing to support teams, SLA tracking, and escalation for overdue tickets. Which solution is most suitable?

A) Power Automate flows with AI Builder, SLA logic, and Dataverse integration.

B) Canvas app for manual ticket tracking.

C) Model-driven dashboards showing ticket statuses.

D) Power BI dashboards for ticket analytics.

Answer: A)

Explanation

A) Power Automate enables fully automated customer support ticket workflows. When a ticket is submitted in Dataverse, AI Builder can classify it by category, priority, or sentiment, ensuring accurate routing to the correct support team. Conditional logic evaluates team availability, workload, and ticket priority to assign tickets efficiently. SLA tracking ensures tickets are resolved within agreed timelines, and escalation workflows route unresolved or overdue tickets to higher-level support or management. Notifications via Teams or email alert the responsible agents and managers about pending tickets, ensuring timely action. Dataverse centralizes ticket details, classification data, SLA metrics, assignment history, and workflow logs, providing a comprehensive, auditable repository for compliance and reporting. This solution is low-code, operational, scalable, and efficient, improving ticket resolution speed, SLA adherence, and customer satisfaction. Automated categorization reduces human errors and ensures consistent ticket handling across high volumes, enabling IT and support teams to focus on resolution rather than administrative tasks.

B) Canvas apps could allow manual tracking, categorization, and assignment of tickets. While feasible for small teams, this approach is manual, slow, and error-prone, lacking AI-driven classification, SLA tracking, automated routing, and escalations. High ticket volumes would overwhelm staff and increase the risk of delayed resolutions.

C) Model-driven dashboards can display ticket statuses, pending assignments, and SLA compliance. While helpful for monitoring, dashboards cannot automate ticket categorization, routing, or notifications, limiting operational efficiency.

D) Power BI dashboards provide analytics on ticket trends, team performance, and SLA compliance. While valuable for reporting, Power BI cannot automate operational workflows, assign tickets, or escalate overdue tickets, making it purely analytical.

The correct answer is A because Power Automate with AI Builder and Dataverse automates categorization, assignment, SLA tracking, notifications, and escalation, ensuring operational efficiency, SLA compliance, and improved support service quality. Other options are manual or analytical.

Question 92

A company wants to automate procurement approval processes, including validation of purchase orders, routing based on thresholds, notifications to managers, and audit logging in Dataverse. Which solution is most suitable?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual procurement approval.

C) Model-driven dashboards showing purchase order status.

D) Power BI dashboards for procurement trend analytics.

Answer: A)

Explanation

A) Power Automate enables automated procurement workflows. When a purchase order is submitted to Dataverse, workflows validate details against organizational rules, including purchase amount, vendor compliance, and budget availability. Conditional routing ensures approvals go to the correct managers based on thresholds or department. Notifications alert approvers and requesters of pending actions, improving response times. Escalation workflows route overdue approvals to higher management to maintain SLA compliance. Approval decisions, workflow actions, and audit data are recorded in Dataverse, ensuring full transparency and compliance. This solution is low-code, operational, scalable, and efficient, reducing manual effort, ensuring consistent policy application, and accelerating procurement processes. Automated validation also prevents errors and policy violations, improving operational control and reducing financial risk.

B) Canvas apps could allow manual submission and approval of purchase orders. While feasible for small teams, this approach is manual, slow, and error-prone, lacking automated validation, conditional routing, notifications, and audit logging. High volumes of procurement requests would reduce efficiency and increase risk of missed deadlines or non-compliance.

C) Model-driven dashboards can provide visibility into procurement request statuses, pending approvals, and completed actions. While helpful for monitoring, dashboards cannot validate requests, route approvals, or trigger notifications, limiting operational functionality.

D) Power BI dashboards provide analytical insights into procurement trends, approval times, and budget compliance. While valuable for reporting, Power BI cannot perform operational workflows, validate submissions, or route approvals, making it purely analytical.

The correct answer is A because Power Automate automates validation, conditional approval routing, notifications, and audit logging, integrated with Dataverse to ensure operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 93

A company wants to automate employee leave management, including conditional approvals, notifications, and centralized tracking in Dataverse. Which solution is most appropriate?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual leave submission and tracking.

C) Model-driven dashboards showing leave balances.

D) Power BI dashboards for leave trend analytics.

Answer: A)

Explanation

A) Power Automate enables automated leave management workflows. When an employee submits a leave request in Dataverse, conditional logic routes it to the appropriate manager based on leave type, duration, and department policies. Notifications are automatically sent to managers and employees to ensure timely review and approval. Escalation workflows route overdue requests to higher-level management to maintain SLA compliance. All leave data, approval decisions, and workflow actions are stored centrally in Dataverse, providing a fully auditable record for HR compliance, reporting, and analytics. This solution is low-code, operational, scalable, and efficient, reducing manual work, improving accuracy, and ensuring adherence to organizational leave policies. Automated workflows allow HR to monitor real-time leave balances, track departmental leave trends, and proactively address approval bottlenecks.

B) Canvas apps could allow manual submission and approval of leave requests. While feasible for small teams, this approach is manual, slow, and error-prone, lacking automated conditional routing, notifications, and centralized logging. High leave volumes would reduce operational efficiency and risk SLA violations.

C) Model-driven dashboards can visualize leave balances, pending approvals, and departmental leave trends. While helpful for monitoring, dashboards cannot automate leave approval routing or notifications, making them monitoring rather than operational solutions.

D) Power BI dashboards provide insights into leave trends, departmental leave usage, and historical compliance. While valuable for reporting, Power BI cannot perform operational workflows, route approvals, or send notifications, making it purely analytical.

The correct answer is A because Power Automate automates conditional leave approvals, notifications, and centralized tracking, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 94

A company wants to automate employee onboarding, including account creation, assignment of training, notifications to managers, and centralized tracking. Which solution is most suitable?

A) Power Automate flows with Dataverse and Microsoft 365 integration.

B) Canvas app for manual onboarding tracking.

C) Model-driven dashboards showing onboarding progress.

D) Power BI dashboards for onboarding analytics.

Answer: A)

Explanation

A) Power Automate enables automated employee onboarding workflows. When a new employee record is created in Dataverse, workflows can provision accounts, assign training modules, notify managers, and track task completion. Conditional logic allows the workflow to adapt based on role, department, or location. Notifications ensure employees and managers are aware of pending onboarding tasks. Escalation workflows flag overdue steps to HR or management. Integration with Microsoft 365 automates the creation of email accounts, Teams channels, SharePoint access, and permissions. Dataverse centralizes all onboarding data, including task completions and workflow logs, providing a complete audit trail. This solution is low-code, operational, scalable, and efficient, ensuring consistency, reducing administrative effort, and providing a seamless onboarding experience. Automated workflows enable HR to monitor progress in real-time and ensure all compliance requirements are met.

B) Canvas apps could allow manual tracking of onboarding tasks. While feasible for small teams, this approach is manual, error-prone, and time-consuming, lacking automated notifications, conditional task assignment, and centralized logging. High volumes of onboarding tasks would reduce operational efficiency and increase errors.

C) Model-driven dashboards can visualize onboarding progress, pending tasks, and completion rates. While useful for monitoring, dashboards cannot automate account creation, training assignments, notifications, or escalations, limiting operational capability.

D) Power BI dashboards provide analytical insights into onboarding trends, completion times, and compliance metrics. While valuable for reporting, Power BI cannot perform operational onboarding workflows, making it purely analytical.

The correct answer is A because Power Automate automates onboarding tasks, notifications, and tracking, integrated with Dataverse and Microsoft 365 for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 95

A company wants to automate IT service request workflows, including classification using AI, assignment based on technician availability, SLA tracking, and escalation for overdue requests. Which solution is most appropriate?

A) Power Automate flows with AI Builder, conditional logic, and Dataverse integration.

B) Canvas app for manual service request tracking.

C) Model-driven dashboards showing request statuses.

D) Power BI dashboards for IT service analytics.

Answer: A)

Explanation

A) Power Automate enables automated IT service request workflows. When a request is submitted to Dataverse, AI Builder can classify it based on description, keywords, or urgency, ensuring accurate routing to the appropriate technician or team. Conditional logic evaluates technician availability, skill set, and workload for optimal task assignment. SLA tracking ensures timely resolution, and escalation workflows route unresolved or overdue requests to supervisors or higher management. Notifications are sent to responsible technicians and managers to ensure timely action. Dataverse centralizes request data, classification results, SLA metrics, assignment history, and workflow logs, supporting compliance and reporting. This solution is low-code, operational, scalable, and efficient, reducing manual effort, improving SLA adherence, and enhancing service quality. Automated classification and routing optimize operational productivity and ensure consistent handling of IT requests.

B) Canvas apps could allow manual tracking, classification, and assignment of service requests. While feasible for small teams, this approach is manual, slow, and error-prone, lacking AI-based classification, SLA tracking, notifications, and escalations. High request volumes would overwhelm staff and reduce operational efficiency.

C) Model-driven dashboards can visualize service request statuses, pending assignments, and SLA metrics. While useful for monitoring, dashboards cannot classify requests, route tasks, or trigger notifications, limiting operational effectiveness.

D) Power BI dashboards provide analytics on request trends, technician performance, and SLA compliance. While valuable for reporting, Power BI cannot perform operational workflows, classify requests, or assign tasks, making it purely analytical.

The correct answer is A because Power Automate with AI Builder and Dataverse automates classification, assignment, SLA tracking, notifications, and escalation, ensuring operational efficiency, SLA compliance, and improved IT service delivery. Other options are manual or analytical.

Question 96

A company wants to automate approval for project budget requests, including validation, routing based on budget thresholds, notifications to approvers, and audit logging in Dataverse. Which solution is most appropriate?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual budget request submission and approval.

C) Model-driven dashboards showing budget request status.

D) Power BI dashboards for budget analytics.

Answer: A)

Explanation

A) Power Automate enables automated workflows for project budget approvals. When a budget request is submitted in Dataverse, workflows can validate the request against rules such as departmental budgets, cost centers, and project classifications. Conditional logic routes the request to the appropriate approver based on thresholds, department, or project type. Notifications automatically alert approvers and requesters about pending actions, ensuring timely decisions. Escalation workflows route overdue approvals to senior management, maintaining SLA compliance. All actions, approvals, and workflow logs are stored in Dataverse for auditing, compliance, and reporting. This solution is low-code, operational, scalable, and efficient, reducing manual effort, improving approval speed, and ensuring consistent governance over budget allocations. Automated validation prevents errors and ensures adherence to organizational financial policies, mitigating risk and improving operational control.

B) Canvas apps could allow manual submission and approval of budget requests. While functional for small teams, this approach is manual, slow, and error-prone, lacking automated validation, routing, notifications, and audit logging. High volumes of budget requests would increase the likelihood of missed approvals or policy violations.

C) Model-driven dashboards can provide visibility into budget request statuses, pending approvals, and completed actions. While useful for monitoring, dashboards cannot validate requests, route approvals, or trigger notifications, making them primarily monitoring tools rather than operational solutions.

D) Power BI dashboards provide analytical insights into budget request trends, approval times, and departmental compliance. While valuable for reporting, Power BI cannot perform operational workflows, validate submissions, or route approvals, making it purely analytical.

The correct answer is A because Power Automate automates validation, conditional approval routing, notifications, and audit logging, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 97

A company wants to automate employee onboarding, including account provisioning, role-based access assignment, notification to managers, and centralized tracking in Dataverse. Which solution is most suitable?

A) Power Automate flows with Dataverse and Microsoft 365 integration.

B) Canvas app for manual onboarding tracking.

C) Model-driven dashboards showing onboarding status.

D) Power BI dashboards for onboarding analytics.

Answer: A)

Explanation

A) Power Automate enables fully automated employee onboarding workflows. When a new employee is added to Dataverse, workflows can provision accounts, assign Microsoft 365 access, and automatically enroll them in relevant systems and training. Conditional logic ensures role-based access is applied according to department or position. Notifications are automatically sent to managers and employees, keeping stakeholders informed about pending tasks and approvals. Escalation workflows ensure overdue onboarding steps are flagged for HR attention. Centralized storage in Dataverse ensures a complete audit trail of onboarding activities, approvals, and task completion for compliance and reporting. This solution is low-code, operational, scalable, and efficient, reducing administrative effort, ensuring consistency, and enhancing employee experience. Automated onboarding workflows streamline access provisioning, task assignment, and reporting, enabling HR teams to focus on strategic activities rather than administrative tasks.

B) Canvas apps could allow manual tracking of onboarding tasks. While feasible for small teams, this approach is manual, error-prone, and time-consuming, lacking automated account provisioning, notifications, conditional task assignments, and centralized tracking. High volumes of onboarding tasks would reduce efficiency and increase errors.

C) Model-driven dashboards can visualize onboarding status, pending tasks, and completion metrics. While monitoring is useful, dashboards cannot automate account provisioning, task assignment, or notifications, limiting operational functionality.

D) Power BI dashboards provide analytical insights into onboarding trends, completion rates, and compliance metrics. While valuable for reporting, Power BI cannot perform operational onboarding workflows, making it purely analytical.

The correct answer is A because Power Automate automates account provisioning, role-based assignments, notifications, and tracking, integrated with Dataverse and Microsoft 365 for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 98

A company wants to automate expense reimbursement workflows, including validation, routing for approval, notifications, and audit logging in Dataverse. Which solution is most appropriate?

A) Power Automate flows with conditional logic and Dataverse integration.

B) Canvas app for manual expense submission and approval.

C) Model-driven dashboards showing expense approval status.

D) Power BI dashboards for expense analytics.

Answer: A)

Explanation

A) Power Automate enables automated workflows for expense reimbursements. When an employee submits an expense in Dataverse, workflows can validate entries against allowable limits, expense categories, and departmental budgets. Conditional routing ensures approvals go to the correct manager depending on thresholds, department, or project alignment. Notifications automatically inform approvers and employees of pending actions, ensuring timely processing. Escalation workflows route overdue requests to higher management, maintaining SLA compliance. All actions, approval history, and workflow logs are stored in Dataverse for auditing, reporting, and compliance. This solution is low-code, operational, scalable, and efficient, reducing manual effort, minimizing errors, and ensuring consistent adherence to expense policies. Automated workflows also improve transparency and operational control over financial processes.

B) Canvas apps could allow manual expense submission and approval. While functional for small teams, this approach is manual, error-prone, and inefficient, lacking automated validation, routing, notifications, and audit logging. High volumes of expense submissions would lead to delays and increased risk of errors or policy violations.

C) Model-driven dashboards can provide visibility into expense approval statuses and pending actions. While monitoring is useful, dashboards cannot validate expenses, route approvals, or trigger notifications, limiting operational utility.

D) Power BI dashboards provide analytical insights into expense trends, departmental spending, and approval cycles. While valuable for reporting, Power BI cannot automate operational workflows, validate submissions, or route approvals, making it purely analytical.

The correct answer is A because Power Automate automates validation, conditional routing, notifications, and audit logging, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.

Question 99

A company wants to automate IT incident management, including AI-based categorization, assignment to available technicians, SLA tracking, and escalation for unresolved incidents. Which solution is most appropriate?

A) Power Automate flows with AI Builder, conditional logic, and Dataverse integration.

B) Canvas app for manual incident logging and tracking.

C) Model-driven dashboards showing incident statuses.

D) Power BI dashboards for incident trend analytics.

Answer: A)

Explanation

A) Power Automate allows automated IT incident management workflows. AI Builder can categorize incoming incidents based on description, keywords, or urgency, ensuring accurate routing to appropriate technicians. Conditional logic evaluates technician availability, skill set, and workload for optimal assignment. SLA tracking ensures incidents are addressed within defined timelines, while escalation workflows route unresolved or overdue incidents to supervisors or management. Notifications alert technicians and managers to pending incidents, enabling timely resolution. Dataverse centralizes incident details, classifications, SLA metrics, assignment history, and workflow logs for auditing and reporting. This solution is low-code, operational, scalable, and efficient, reducing manual effort, improving SLA compliance, and enhancing IT service quality. Automated categorization and routing streamline operations, allowing IT teams to focus on resolving incidents rather than administrative tasks.

B) Canvas apps could allow manual logging, categorization, and assignment of incidents. While feasible for small teams, this approach is manual, error-prone, and slow, lacking AI-based classification, SLA tracking, notifications, and escalation workflows. High incident volumes would overwhelm staff and reduce operational efficiency.

C) Model-driven dashboards can visualize incident statuses, pending assignments, and SLA compliance. While useful for monitoring, dashboards cannot classify, assign, or escalate incidents, limiting operational capability.

D) Power BI dashboards provide analytics on incident trends, resolution times, and technician performance. While valuable for reporting, Power BI cannot automate operational workflows, categorize incidents, or assign tasks, making it purely analytical.

The correct answer is A because Power Automate with AI Builder and Dataverse automates classification, assignment, SLA tracking, notifications, and escalation, ensuring operational efficiency, SLA compliance, and improved IT service delivery. Other options are manual or analytical.

Question 100

A company wants to automate customer feedback handling, including sentiment analysis, routing negative feedback for follow-up, notifications, and centralized logging. Which solution is most suitable?

A) Power Automate flows with AI Builder, conditional logic, and Dataverse integration.

B) Canvas app for manual feedback review.

C) Model-driven dashboards showing feedback statuses.

D) Power BI dashboards for feedback analytics.

Answer: A)

Explanation

A) Power Automate allows automated workflows for customer feedback handling. When feedback is submitted to Dataverse, AI Builder can perform sentiment analysis to classify responses as positive, neutral, or negative. Conditional logic routes negative feedback to customer service teams or managers for timely follow-up. Notifications alert responsible personnel to ensure prompt action. Dataverse centralizes all feedback, classification results, workflow actions, and follow-up notes, providing an auditable repository for compliance, reporting, and trend analysis. This solution is low-code, operational, scalable, and efficient, reducing manual review effort, ensuring critical feedback is addressed promptly, and enhancing customer satisfaction. Automated sentiment classification and routing optimize operational productivity and ensure consistent handling of customer feedback across high volumes.

B) Canvas apps could allow manual review and follow-up of feedback. While feasible for small volumes, this approach is manual, slow, and error-prone, lacking automated sentiment analysis, routing, notifications, and centralized logging. High volumes would overwhelm staff and delay responses to critical feedback.

C) Model-driven dashboards can visualize feedback statuses, pending follow-ups, and completion metrics. While monitoring is useful, dashboards cannot classify sentiment, automate routing, or trigger notifications, limiting operational effectiveness.

D) Power BI dashboards provide analytical insights into feedback trends, satisfaction scores, and departmental performance. While valuable for reporting, Power BI cannot automate sentiment analysis, notifications, or workflow actions, making it purely analytical.

The correct answer is A because Power Automate with AI Builder automates sentiment analysis, routing, notifications, and logging, integrated with Dataverse for operational efficiency, compliance, and proactive customer service. Other options are manual or analytical.