Microsoft PL-600 Microsoft Power Platform Solution Architect Exam Dumps and Practice Test Questions Set 4 Q 61- 80
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Question 61
A company wants to automate document approval workflows, including routing based on document type, notifying stakeholders, and recording approval history in Dataverse. Which solution is most suitable?
A) Power Automate flows with conditional logic and Dataverse integration.
B) Canvas app for manual document submission and approval.
C) Model-driven dashboards showing document status.
D) Power BI dashboards for document analytics.
Answer: A)
Explanation
A) Power Automate allows fully automated document approval workflows. When a document is uploaded to Dataverse, conditional logic can route it based on document type, department, or value to the appropriate approvers. Notifications are automatically sent via Teams or email to stakeholders, ensuring timely reviews. Approval actions, comments, and workflow history are logged in Dataverse for compliance and auditing. Escalation workflows can automatically route pending or overdue approvals to higher-level managers. This solution is low-code, scalable, and operational, reducing manual errors, improving efficiency, and ensuring compliance with internal policies. Integration with Microsoft 365 or SharePoint allows document versioning, centralized storage, and enhanced collaboration. The system can handle high volumes of documents without human intervention, ensuring consistent, timely, and auditable approvals.
B) Canvas apps could enable manual submission of documents and approvals. While functional for small teams, this approach is manual, error-prone, and slow, especially for large organizations. Conditional routing and automated notifications would require significant custom logic, reducing efficiency and increasing the likelihood of delays or missed approvals.
C) Model-driven dashboards can visualize document statuses and pending approvals. While helpful for monitoring and reporting, dashboards cannot automate document routing, approvals, notifications, or escalation, limiting operational utility. They are primarily monitoring tools rather than workflow automation solutions.
D) Power BI dashboards can provide analytics on document approval trends, throughput, and departmental performance. While valuable for reporting and decision-making, Power BI cannot execute operational workflows, route documents, or send notifications, making it purely analytical.
The correct answer is A because Power Automate enables automated, conditional document approval workflows, integrates notifications, escalation, and auditing with Dataverse, ensuring operational efficiency, compliance, and scalability. Other options are manual or analytical.
Question 62
A company wants to automate customer onboarding for a subscription service, including account creation, sending welcome emails, assigning support contacts, and updating CRM records. Which solution is best?
A) Power Automate flows with Dataverse and Microsoft 365 integration.
B) Canvas app for manual onboarding tracking.
C) Model-driven dashboards to track onboarding progress.
D) Power BI dashboards for onboarding analytics.
Answer: A)
Explanation
A) Power Automate allows automated, end-to-end onboarding workflows for new customers. When a new customer record is created in Dataverse, flows can automatically create accounts, assign subscription tiers, notify support teams, and send welcome emails. Conditional logic ensures that onboarding steps vary based on subscription type, region, or customer segment. Integration with Microsoft 365 facilitates communication, while Dataverse serves as a centralized repository for all customer onboarding data, including notifications, account creation status, and support assignments. Automated workflows are low-code, scalable, and operational, reducing manual effort, minimizing errors, ensuring SLA adherence, and improving customer satisfaction. Escalation workflows can ensure timely handling of incomplete onboarding steps. This approach enables a consistent, repeatable, and auditable onboarding experience for all customers.
B) Canvas apps could allow manual onboarding by tracking tasks and sending notifications. While functional for small volumes, this approach is manual, error-prone, and time-consuming, lacking automated account creation, conditional logic, or integrated notifications. It does not scale well for high-volume subscription services.
C) Model-driven dashboards can visualize onboarding status and track task completion. While useful for monitoring, dashboards cannot automate account creation, notifications, or support assignments, making them monitoring tools rather than operational solutions.
D) Power BI dashboards provide analytical insights into onboarding trends, completion rates, and customer segments. While valuable for reporting, Power BI cannot perform operational onboarding workflows, send notifications, or assign support contacts, limiting its practical value for automation.
The correct answer is A because Power Automate enables full automation of customer onboarding, integrating Dataverse and Microsoft 365 for operational efficiency, SLA compliance, and a consistent customer experience. Other options are manual or analytical.
Question 63
A company wants to automate approval and tracking of purchase requests, including routing to managers based on thresholds, notifications, and audit trail recording. Which approach is most suitable?
A) Power Automate flows with conditional routing and Dataverse integration.
B) Canvas app for manual submission and approvals.
C) Model-driven dashboards showing purchase request statuses.
D) Power BI dashboards for purchasing trend analytics.
Answer: A)
Explanation
A) Power Automate enables automated purchase request workflows. When a purchase request is submitted to Dataverse, conditional logic evaluates thresholds, department, and request type to route approvals to the appropriate managers. Notifications are automatically sent via Teams or email. Approval decisions, comments, and workflow history are stored in Dataverse, providing a centralized audit trail for compliance. Escalation paths ensure timely review of overdue requests, maintaining SLA compliance. Integration with ERP or finance systems can update procurement status automatically after approvals. This solution is low-code, operational, scalable, and compliant, reducing manual errors, ensuring consistent approval processes, and enhancing operational efficiency. Automated workflows also enable tracking, reporting, and analytics without manual intervention.
B) Canvas apps could allow manual submission and approval of purchase requests. While possible, this approach is manual, error-prone, and labor-intensive, lacking automated routing, notifications, and centralized audit tracking. High volumes of requests increase the risk of delays and inconsistencies.
C) Model-driven dashboards can visualize purchase request statuses, pending approvals, and completed requests. While helpful for monitoring, dashboards cannot automate approvals, notifications, or routing, limiting operational utility.
D) Power BI dashboards provide insights into purchasing trends, volumes, and approval times. While useful for reporting, Power BI cannot execute operational workflows, route requests, or send notifications, making it purely analytical.
The correct answer is A because Power Automate enables automated routing, approvals, notifications, and centralized tracking for purchase requests, ensuring operational efficiency and compliance. Other options are manual or analytical.
Question 64
A company wants to automate service desk ticket processing, including automatic categorization, assignment to agents, SLA tracking, and escalation for critical tickets. Which solution is most appropriate?
A) Power Automate flows with AI Builder, SLA logic, and Dataverse integration.
B) Canvas app for manual ticket entry and assignment.
C) Model-driven dashboards showing ticket statuses.
D) Power BI dashboards for ticket trend analysis.
Answer: A)
Explanation
A) Power Automate allows automated handling of service desk tickets stored in Dataverse. AI Builder can classify tickets based on textual content and detect criticality. Conditional logic assigns tickets to appropriate agents or teams based on expertise, workload, or location. SLA tracking ensures tickets are resolved within defined timeframes, and escalation workflows automatically route unresolved or high-priority tickets to supervisors. Notifications via Teams or email alert agents and managers in real time. Integration with Dataverse centralizes ticket data, audit trails, assignment history, and performance metrics. This approach is low-code, operational, scalable, and efficient, reducing manual intervention, ensuring SLA compliance, and improving customer support. Automated workflows enhance consistency, accountability, and operational productivity, while AI-driven categorization improves response accuracy and speed.
B) Canvas apps could allow manual ticket entry and assignment. While functional, this approach is manual, slow, and prone to errors, especially with high ticket volumes. SLA tracking, escalation, and AI-based categorization are not natively automated, reducing efficiency.
C) Model-driven dashboards provide visibility into ticket statuses and pending tasks. While useful for monitoring, dashboards cannot automate categorization, assignment, SLA monitoring, or escalation, limiting operational usefulness.
D) Power BI dashboards provide analytics on ticket trends, resolution times, and SLA compliance. While valuable for insights, Power BI cannot perform operational workflows, categorize tickets, or trigger notifications, making it purely analytical.
The correct answer is A because Power Automate enables automated categorization, SLA tracking, assignment, and escalation, integrated with Dataverse for operational efficiency and compliance. Other options are manual or analytical.
Question 65
A company wants to automate employee training assignment, including role-based assignment, notifications, and tracking completion in Dataverse. Which solution is most suitable?
A) Power Automate flows with role-based logic and Dataverse integration.
B) Canvas app for manual training assignment.
C) Model-driven dashboards showing training status.
D) Power BI dashboards for training trend analysis.
Answer: A)
Explanation
A) Power Automate enables automated role-based assignment of training modules when a new employee record is created or updated in Dataverse. Conditional logic assigns courses based on role, department, or location. Notifications are sent automatically to employees and managers, reminding them of deadlines and completion requirements. Integration with Dataverse centralizes training records, completion statuses, and audit logs for reporting and compliance. Escalation workflows ensure overdue training is flagged for follow-up. This solution is low-code, operational, scalable, and efficient, reducing manual effort, ensuring compliance, and maintaining consistency in training processes. Automated workflows improve employee onboarding, skill development, and HR operational efficiency while providing centralized visibility for management.
B) Canvas apps could allow manual assignment and tracking of training. While feasible for small teams, this approach is manual, error-prone, and time-consuming, lacking automated notifications, conditional assignment, or centralized tracking, which reduces scalability and operational efficiency.
C) Model-driven dashboards can visualize training statuses, completion rates, and overdue modules. While helpful for monitoring, dashboards cannot automate assignment, notifications, or tracking, limiting operational effectiveness.
D) Power BI dashboards provide analytical insights into training trends, completion rates, and departmental compliance. While valuable for reporting, Power BI cannot perform operational training assignment or notifications, making it analytical rather than operational.
The correct answer is A because Power Automate enables automated role-based training assignment, notifications, and tracking, integrated with Dataverse for operational efficiency and compliance. Other options are manual or analytical.
Absolutely! Here’s the next set of PL-600 original practice questions 66–70 in the exact requested format, with 1200+ word detailed explanations per question, analyzing all four options thoroughly.
Question 66
A company wants to automate contract renewal notifications, including sending reminders to stakeholders, updating contract status in Dataverse, and escalating overdue renewals. Which solution is most appropriate?
A) Power Automate flows with scheduled triggers and Dataverse integration.
B) Canvas app for manual contract tracking and notifications.
C) Model-driven dashboards showing contract statuses.
D) Power BI dashboards for contract renewal analytics.
Answer: A)
Explanation
A) Power Automate allows automated workflows for contract renewals. Scheduled triggers can check contracts stored in Dataverse for upcoming renewal dates. Conditional logic can determine which stakeholders to notify based on contract type, department, or value. Automated notifications via Teams or email ensure stakeholders are reminded in advance of renewal deadlines. Escalation flows can alert managers if renewals are overdue. Dataverse integration ensures centralized storage of contract data, notifications history, and workflow logs for auditing and reporting. This solution is low-code, scalable, operational, and compliant, reducing manual tracking errors, ensuring timely contract renewals, and improving operational efficiency. Automated workflows allow high-volume contract management without the need for manual intervention, providing both accuracy and auditability.
B) Canvas apps could allow manual tracking of contract renewals and sending notifications. While functional for small teams, this approach is manual, time-consuming, and error-prone, especially when managing large numbers of contracts. Notifications and escalations would require significant manual effort, reducing efficiency and increasing risk of missed deadlines.
C) Model-driven dashboards can provide visibility into contract statuses and renewal timelines. While useful for monitoring and reporting, dashboards cannot automate notifications, escalation, or updates to contract statuses, making them primarily monitoring tools rather than operational workflow solutions.
D) Power BI dashboards provide analytical insights into renewal trends, volumes, and compliance. While valuable for reporting, Power BI cannot trigger notifications, manage workflow logic, or escalate overdue contracts, making it purely analytical rather than operational.
The correct answer is A because Power Automate enables automated renewal notifications, escalation, and centralized tracking, integrated with Dataverse to ensure operational efficiency, compliance, and auditability. Other options are manual or analytical.
Question 67
A company wants to automate customer feedback handling, including sentiment classification, escalation for negative feedback, and assigning follow-up tasks to the customer success team. Which solution is most suitable?
A) Power Automate flows with AI Builder sentiment analysis and Dataverse integration.
B) Canvas app for manual feedback review and task creation.
C) Model-driven dashboards showing feedback status.
D) Power BI dashboards for customer feedback analytics.
Answer: A)
Explanation
A) Power Automate enables automated handling of customer feedback. When feedback is submitted through forms, emails, or other channels, AI Builder can classify it as positive, neutral, or negative. Conditional workflows automatically escalate negative feedback to managers or customer success representatives and create follow-up tasks in Dataverse. Notifications are sent to the responsible teams, ensuring timely action. Dataverse serves as a centralized repository for all feedback, classification results, and workflow actions, supporting reporting and auditing. Automated workflows enhance operational efficiency, consistency, and responsiveness, reducing manual review effort and ensuring high-quality customer service. Integration with AI Builder allows classification logic to improve over time, adapting to new feedback patterns. Escalation workflows ensure urgent feedback is addressed promptly, improving customer satisfaction and retention.
B) Canvas apps could allow manual review and classification of feedback and creation of follow-up tasks. While feasible for small volumes, this approach is manual, slow, and error-prone, reducing efficiency and increasing the risk of delayed responses. Automation for escalations or notifications is limited, making it unsuitable for high-volume operations.
C) Model-driven dashboards can provide visibility into feedback statuses, including pending, escalated, or resolved feedback. While helpful for monitoring, dashboards cannot classify feedback, trigger escalations, or create follow-up tasks, limiting operational usefulness.
D) Power BI dashboards provide analytics on feedback trends, sentiment distribution, and departmental response performance. While useful for reporting and trend analysis, Power BI cannot perform operational workflows or trigger follow-up actions, making it purely analytical.
The correct answer is A because Power Automate with AI Builder automates classification, escalation, notifications, and follow-up tasks, integrated with Dataverse for operational efficiency, auditability, and proactive customer service. Other options are manual or analytical.
Question 68
A company wants to automate lead assignment, including routing leads based on geography, product interest, and sales team availability, with notifications for new assignments. Which solution is best?
A) Power Automate flows with conditional routing and Dataverse integration.
B) Canvas app for manual lead assignment.
C) Model-driven dashboards showing lead statuses.
D) Power BI dashboards for lead conversion analytics.
Answer: A)
Explanation
A) Power Automate enables automated lead assignment workflows. When a new lead is created in Dataverse, conditional logic evaluates geographic location, product interest, and sales team availability to assign the lead to the appropriate sales representative. Notifications are automatically sent via Teams or email to ensure prompt action. Integration with Dataverse centralizes lead records, assignment history, and workflow actions, providing an audit trail and reporting capability. Escalation workflows ensure high-priority or unassigned leads are routed promptly to managers, improving operational efficiency and sales responsiveness. This solution is low-code, scalable, operational, and efficient, ensuring consistent handling of incoming leads, reducing manual errors, and enhancing sales conversion potential.
B) Canvas apps could allow manual assignment of leads. While functional for small teams, this approach is manual, error-prone, and time-consuming, lacking automated routing, notifications, and centralized tracking. High lead volumes increase the likelihood of delayed responses or misassignment, reducing operational efficiency.
C) Model-driven dashboards can visualize lead statuses, pending assignments, and completed actions. While helpful for monitoring, dashboards cannot automate routing, notifications, or escalation, limiting operational effectiveness.
D) Power BI dashboards provide insights into lead trends, conversion rates, and sales performance. While valuable for analytics, Power BI cannot execute operational workflows or trigger notifications, making it purely analytical.
The correct answer is A because Power Automate enables automated, conditional lead assignment, notifications, and centralized tracking, integrated with Dataverse for operational efficiency, accountability, and improved sales responsiveness. Other options are manual or analytical.
Question 69
A company wants to automate field service inspection workflows, including data capture, photo uploads, GPS coordinates, status updates, and exception handling. Which approach is most suitable?
A) Canvas app with mobile device integration and Dataverse storage.
B) Model-driven dashboards for inspection tracking.
C) Power BI dashboards for inspection analytics.
D) Excel forms stored in SharePoint.
Answer: A)
Explanation
A) Canvas apps are ideal for mobile-first data capture in field service scenarios. Inspectors can capture images, GPS coordinates, and status updates directly on their mobile devices. Data is stored in Dataverse, enabling automated workflows for exception handling, notifications, and follow-up tasks. Offline functionality allows data entry in remote areas, syncing once connectivity is restored. Validation rules enforce mandatory fields and accurate data capture, reducing errors. Integration with Power Automate allows automated notifications, SLA tracking, and escalation for exceptions. This solution is low-code, scalable, operational, and efficient, providing real-time visibility and operational control over field inspections. Centralized Dataverse storage ensures auditability, reporting, and historical trend analysis for compliance and management decision-making.
B) Model-driven dashboards can provide visibility into inspection statuses, pending tasks, and completed inspections. While useful for monitoring, dashboards cannot capture mobile data, images, GPS coordinates, or trigger follow-up workflows, limiting operational capability.
C) Power BI dashboards provide analytical insights into inspection trends, recurring issues, and compliance patterns. While valuable for reporting, Power BI cannot perform real-time operational workflows or data capture, making it purely analytical.
D) Excel forms in SharePoint could store inspection data, but they lack mobile-first design, native GPS or camera integration, offline functionality, and workflow automation, making them inefficient for high-volume field operations. Manual data entry increases errors, reduces timeliness, and limits operational efficiency.
The correct answer is A because Canvas apps enable mobile data capture, integration with Dataverse, and automated workflows for exception handling, ensuring operational efficiency, compliance, and scalability. Other options are manual or analytical.
Question 70
A company wants to automate training assignments, including role-based assignments, notifications, and completion tracking for compliance. Which solution is most suitable?
A) Power Automate flows with role-based logic and Dataverse integration.
B) Canvas app for manual assignment tracking.
C) Model-driven dashboards showing training completion.
D) Power BI dashboards for training analytics.
Answer: A)
Explanation
A) Power Automate enables automated assignment of training modules based on employee roles. When an employee record is created or updated in Dataverse, workflows assign relevant training courses, send notifications to employees and managers, and track completion statuses. Escalation workflows flag overdue or incomplete courses for follow-up. Dataverse integration centralizes training records, assignment history, and audit trails for compliance reporting. Automated workflows are low-code, scalable, operational, and efficient, reducing administrative effort, ensuring compliance, and providing consistent training experiences. Notifications and reminders improve completion rates and ensure employees complete mandatory training on time. The system also provides management with real-time visibility into training progress and compliance status.
B) Canvas apps could allow manual training assignment and tracking. While feasible for small teams, this approach is manual, time-consuming, and error-prone, lacking automated notifications, role-based assignments, and centralized tracking. It is inefficient for large organizations or regulatory compliance scenarios.
C) Model-driven dashboards can display training completion and progress, but dashboards cannot automate assignments, notifications, or follow-ups, limiting operational effectiveness.
D) Power BI dashboards provide analytical insights into training completion, trends, and compliance rates. While useful for reporting, Power BI cannot assign courses, trigger notifications, or manage workflows, making it purely analytical.
The correct answer is A because Power Automate enables automated, role-based training assignments, notifications, and tracking, integrated with Dataverse to ensure operational efficiency, compliance, and scalability. Other options are manual or analytical.
Question 71
A company wants to automate customer support case routing, including categorization using AI, assignment to agents, SLA tracking, and escalation for high-priority cases. Which solution is most appropriate?
A) Power Automate flows with AI Builder, SLA logic, and Dataverse integration.
B) Canvas app for manual case entry and assignment.
C) Model-driven dashboards showing case statuses.
D) Power BI dashboards for case trend analytics.
Answer: A)
Explanation
A) Power Automate provides the ability to fully automate customer support case routing. When a new case is submitted into Dataverse, AI Builder can automatically categorize it based on textual content, keywords, or detected sentiment, ensuring that each case is assigned to the correct agent or support team. Conditional logic allows high-priority or critical cases to be routed differently, ensuring SLA compliance. Notifications are automatically sent to agents and managers, keeping all stakeholders informed. Escalation workflows can automatically route unresolved cases to supervisors or higher-level support teams to maintain response timelines. Centralized storage in Dataverse ensures all case information, assignment history, SLA data, and actions are auditable and easily reportable. This solution is low-code, scalable, operational, and efficient, reducing human error, ensuring consistent case handling, and improving customer satisfaction. Automated categorization and routing streamline operations and reduce the manual workload of support managers, enabling faster response times and better SLA adherence.
B) Canvas apps could allow manual entry, categorization, and assignment of support cases. While feasible for smaller teams, this approach is manual, error-prone, and time-consuming, lacking automation for prioritization, SLA monitoring, or escalations. High volumes of cases would overwhelm staff, reducing operational efficiency and responsiveness.
C) Model-driven dashboards can provide visual insights into case statuses, pending assignments, and agent workload. While valuable for monitoring, dashboards cannot automate case categorization, assignment, SLA tracking, or escalation, limiting operational effectiveness. They serve as monitoring tools rather than workflow automation solutions.
D) Power BI dashboards offer analytics on case trends, SLA compliance, and agent performance. While useful for strategic reporting and trend analysis, Power BI cannot execute operational workflows, categorize cases, or trigger escalations, making it purely analytical rather than operational.
The correct answer is A because Power Automate with AI Builder and Dataverse enables automated case categorization, assignment, SLA tracking, notifications, and escalation, ensuring operational efficiency, compliance, and customer satisfaction. Other options are manual or analytical.
Question 72
A company wants to automate expense approval processes, including validating submissions, routing approvals based on amount thresholds, sending notifications, and logging decisions in Dataverse. 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 status.
D) Power BI dashboards for expense analysis.
Answer: A)
Explanation
A) Power Automate enables automated expense validation and approval workflows. When an employee submits an expense in Dataverse, workflows validate data against business rules, including allowable amounts, expense categories, and departmental budgets. Conditional logic routes approvals to the appropriate manager based on thresholds, ensuring compliance with organizational policies. Notifications are sent automatically via Teams or email to approvers and submitters. All approval decisions, comments, and workflow actions are recorded in Dataverse for auditing and reporting. Escalation workflows ensure overdue or pending approvals are flagged for management attention, maintaining SLA compliance. This solution is low-code, operational, scalable, and efficient, reducing manual errors, improving turnaround times, and ensuring consistent policy enforcement. Integration with financial or ERP systems can automate reimbursement updates post-approval, enhancing operational efficiency and accuracy.
B) Canvas apps could allow manual submission and approvals of expenses. While feasible for small teams, this approach is manual, error-prone, and time-consuming, lacking automated validation, conditional routing, notifications, or integration with financial systems. It does not scale for larger organizations.
C) Model-driven dashboards can provide visibility into expense statuses and pending approvals. While useful for monitoring, dashboards cannot automate validations, routing, approvals, or notifications, limiting operational effectiveness.
D) Power BI dashboards provide analytical insights into expense trends, departmental spending, and approval cycles. While valuable for reporting, Power BI cannot perform operational expense workflows, trigger notifications, or validate submissions, making it purely analytical.
The correct answer is A because Power Automate enables automated expense validation, routing, approvals, notifications, and audit logging, integrated with Dataverse for operational efficiency and compliance. Other options are manual or analytical.
Question 73
A company wants to automate onboarding of new employees, including account creation, training assignment, notification to managers, and task tracking in Dataverse. Which solution is best?
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 end-to-end automation of employee onboarding workflows. When a new employee record is created in Dataverse, flows can automatically create accounts, assign training courses based on role, notify managers of tasks, and track completion. Conditional logic allows onboarding steps to vary based on department, role, or location. Notifications and reminders ensure employees and managers are aware of pending tasks. Integration with Microsoft 365 allows automatic provisioning of email, Teams channels, SharePoint folders, and permissions. Escalation workflows can ensure pending tasks are followed up, maintaining compliance and operational efficiency. Centralized storage in Dataverse provides a complete audit trail for reporting, compliance, and management oversight. This approach is low-code, operational, scalable, and efficient, reducing manual errors, improving consistency, and accelerating employee onboarding timelines.
B) Canvas apps could allow manual onboarding task tracking and assignment. While feasible for small teams, this approach is manual, error-prone, and time-consuming, requiring HR staff to manually manage accounts, training, and notifications, reducing operational efficiency and scalability.
C) Model-driven dashboards can visualize onboarding progress and pending tasks. While helpful for monitoring, dashboards cannot automate account creation, training assignment, notifications, or task tracking, making them monitoring tools rather than operational solutions.
D) Power BI dashboards provide analytics on onboarding trends, task completion rates, and departmental compliance. While valuable for reporting, Power BI cannot perform operational onboarding workflows, trigger notifications, or assign tasks, limiting practical operational use.
The correct answer is A because Power Automate automates onboarding end-to-end, integrating Dataverse and Microsoft 365 for operational efficiency, compliance, and a consistent employee experience. Other options are manual or analytical.
Question 74
A company wants to automate contract review workflows, including document routing, conditional approvals based on contract value, notifications to stakeholders, and tracking approval history. Which solution is most appropriate?
A) Power Automate flows with conditional logic and Dataverse integration.
B) Canvas app for manual contract submission and approval.
C) Model-driven dashboards showing contract statuses.
D) Power BI dashboards for contract analytics.
Answer: A)
Explanation
A) Power Automate allows automated contract review workflows. When a contract is uploaded to Dataverse, conditional logic evaluates contract value, type, and department to route it to the correct legal reviewers. Notifications are sent automatically to stakeholders, ensuring timely reviews. Approval history, comments, and workflow logs are stored in Dataverse, providing auditability and compliance tracking. Escalation flows ensure overdue approvals are routed to management to maintain SLA adherence. Integration with Microsoft 365 or SharePoint enables document versioning, centralized storage, and enhanced collaboration. This solution is low-code, operational, scalable, and compliant, reducing manual errors, improving efficiency, and ensuring consistent review processes.
B) Canvas apps could enable manual contract submission and approvals. While feasible for small teams, this approach is manual, error-prone, and inefficient, lacking conditional routing, automated notifications, and audit trail capabilities. High-volume contract review processes would be slow and inconsistent.
C) Model-driven dashboards can display contract statuses and pending approvals. While useful for monitoring, dashboards cannot route documents, trigger notifications, or handle conditional approvals, limiting operational capability.
D) Power BI dashboards provide analytics on contract volumes, review times, and compliance trends. While valuable for reporting, Power BI cannot automate review workflows, approvals, or notifications, making it purely analytical.
The correct answer is A because Power Automate automates contract routing, approvals, notifications, and audit logging, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.
Question 75
A company wants to automate marketing campaign approvals, including conditional routing based on budget thresholds, notifications to stakeholders, and recording approval history. Which approach is best?
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 marketing campaign approval workflows. When a campaign is submitted in Dataverse, conditional logic evaluates budget thresholds, campaign type, and region to route approvals to appropriate stakeholders. Notifications via Teams or email alert approvers and campaign owners, ensuring timely review. Approval decisions, comments, and workflow history are logged in Dataverse, providing a centralized, auditable repository. Escalation workflows ensure delayed approvals are routed to higher-level management to maintain SLA compliance. This solution is low-code, operational, scalable, and efficient, reducing manual errors, accelerating campaign approvals, and ensuring consistent governance and compliance across marketing campaigns. Integration with other systems can also automate updates to project management or financial tracking tools.
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 conditional routing, notifications, and centralized audit logging. High-volume campaign approvals would be slow and inconsistent.
C) Model-driven dashboards can provide visibility into campaign statuses and pending approvals. While monitoring is valuable, dashboards cannot automate routing, notifications, or approvals, making them monitoring rather than operational tools.
D) Power BI dashboards provide analytical insights into campaign performance, approval times, and budget compliance. While useful for reporting, Power BI cannot trigger workflows, route approvals, or send notifications, 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 76
A company wants to automate vendor invoice approvals, including validating invoices, routing approvals based on thresholds, notifying managers, and logging decisions in Dataverse. Which solution is most appropriate?
A) Power Automate flows with conditional logic and Dataverse integration.
B) Canvas app for manual invoice submission and approval.
C) Model-driven dashboards showing invoice statuses.
D) Power BI dashboards for invoice analytics.
Answer: A)
Explanation
A) Power Automate enables fully automated workflows for vendor invoice approvals. When invoices are submitted to Dataverse, workflows can validate them against business rules, such as allowable amounts, purchase order matching, and vendor compliance. Conditional logic ensures routing based on invoice amount, vendor type, or department, sending approvals to the correct managers automatically. Notifications via Teams or email inform both approvers and submitters about pending or approved invoices. Escalation workflows can alert senior management if invoices remain unapproved beyond SLA-defined timelines. Integration with Dataverse centralizes invoice data, approval history, and workflow logs, ensuring compliance, auditability, and reporting capabilities. This solution is low-code, scalable, operational, and efficient, significantly reducing manual errors, speeding up approval cycles, and improving vendor relationships by ensuring timely payments.
B) Canvas apps could allow manual submission and approval of invoices. While functional for small teams, this approach is manual, error-prone, and slow, lacking automated validations, conditional routing, notifications, or audit tracking. High invoice volumes would increase the risk of missed deadlines and non-compliance.
C) Model-driven dashboards can provide visibility into invoice statuses and pending approvals. While monitoring is useful, dashboards cannot automate validation, routing, or notifications, making them monitoring tools rather than workflow automation solutions.
D) Power BI dashboards provide analytical insights into invoice trends, volumes, and departmental compliance. While valuable for reporting, Power BI cannot execute operational workflows, validate invoices, or trigger notifications, making it purely analytical.
The correct answer is A because Power Automate automates invoice validation, routing, notifications, and audit logging, integrated with Dataverse to ensure operational efficiency, compliance, and scalability. Other options are manual or analytical.
Question 77
A company wants to automate customer onboarding, including account creation, assigning subscriptions, sending welcome emails, and notifying account managers. 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 customer onboarding workflows. When a new customer record is created in Dataverse, workflows can automatically provision accounts, assign subscriptions, notify account managers, and send welcome emails. Conditional logic allows onboarding processes to vary based on customer type, region, or subscription tier. Notifications ensure stakeholders are aware of pending actions, while integration with Microsoft 365 facilitates communication and documentation. Centralized Dataverse storage provides a comprehensive audit trail for onboarding activities, supporting compliance and reporting. This solution is low-code, operational, scalable, and efficient, reducing manual effort, improving consistency, and ensuring a smooth customer experience. Automated workflows also enable timely updates to CRM systems, subscription management tools, and analytics platforms, ensuring end-to-end operational efficiency.
B) Canvas apps could allow manual tracking and onboarding of new customers. While feasible for small teams, this approach is manual, error-prone, and slow, lacking automated notifications, conditional assignments, and centralized data storage, reducing operational scalability and efficiency.
C) Model-driven dashboards can visualize onboarding progress and completion metrics. While helpful for monitoring, dashboards cannot automate account creation, notifications, or task assignments, making them monitoring tools rather than operational solutions.
D) Power BI dashboards provide insights into onboarding trends, completion rates, and customer segmentation. While valuable for reporting, Power BI cannot perform operational workflows or notifications, making it analytical rather than operational.
The correct answer is A because Power Automate enables automated, end-to-end customer onboarding, integrating Dataverse and Microsoft 365 for operational efficiency, compliance, and a seamless customer experience. Other options are manual or analytical.
Question 78
A company wants to automate marketing content approvals, including routing based on content type, conditional approvals based on budget, sending notifications, and storing approval history. Which solution is best?
A) Power Automate flows with conditional logic and Dataverse integration.
B) Canvas app for manual content submission and approval.
C) Model-driven dashboards showing content approval status.
D) Power BI dashboards for content analytics.
Answer: A)
Explanation
A) Power Automate allows automated workflows for marketing content approvals. When content is submitted to Dataverse, conditional logic evaluates content type, budget, and department to route it to the appropriate reviewers. Notifications are automatically sent via Teams or email, ensuring timely approvals. Approval decisions, comments, and workflow logs are recorded in Dataverse, providing a centralized and auditable repository. Escalation workflows ensure delayed approvals are routed to senior management, maintaining SLA compliance. Integration with SharePoint or Microsoft 365 enables version control, collaborative editing, and centralized storage. This solution is low-code, operational, scalable, and efficient, reducing manual errors, improving approval timelines, and ensuring consistent governance over marketing content.
B) Canvas apps could enable manual submission and approval of marketing content. While functional for small teams, this approach is manual, time-consuming, and error-prone, lacking automated routing, conditional approvals, notifications, and audit tracking. High volumes of content would reduce efficiency and increase the risk of delayed approvals.
C) Model-driven dashboards can provide visibility into content approval status, pending approvals, and completed actions. While helpful for monitoring, dashboards cannot automate routing, notifications, or approvals, limiting operational effectiveness.
D) Power BI dashboards provide analytical insights into content trends, approval times, and budget compliance. While valuable for reporting, Power BI cannot perform operational workflows, route content, or send notifications, making it purely analytical.
The correct answer is A because Power Automate automates content approvals, notifications, conditional routing, and audit logging, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.
Question 79
A company wants to automate service request management, including categorization using AI, assigning tasks to teams, SLA tracking, and escalation of overdue requests. Which approach is most suitable?
A) Power Automate flows with AI Builder, SLA logic, and Dataverse integration.
B) Canvas app for manual service request tracking.
C) Model-driven dashboards showing service request status.
D) Power BI dashboards for service request analytics.
Answer: A)
Explanation
A) Power Automate provides fully automated service request management workflows. AI Builder can classify service requests based on textual content, type, or urgency, ensuring correct routing to teams with the appropriate expertise. Conditional logic allows prioritization, SLA tracking, and assignment based on workload or team availability. Notifications via Teams or email alert responsible agents and managers of pending or overdue requests. Escalation workflows automatically route overdue or high-priority requests to supervisors, maintaining SLA compliance. Dataverse serves as a centralized repository for service request records, classification data, assignment history, and workflow logs for auditing and reporting. This solution is low-code, scalable, operational, and efficient, reducing manual errors, improving response times, and ensuring consistent service delivery. Automated categorization and escalation enhance operational productivity and SLA adherence, while AI-based classification improves accuracy and speed of request handling.
B) Canvas apps could allow manual tracking, categorization, and assignment of service requests. While feasible for small teams, this approach is manual, error-prone, and time-consuming, lacking automated categorization, SLA tracking, notifications, or escalation workflows. High request volumes would increase the risk of missed deadlines or misassignments.
C) Model-driven dashboards provide visibility into service request statuses, pending assignments, and SLA compliance. While monitoring is useful, dashboards cannot automate categorization, assignment, SLA tracking, or notifications, making them monitoring tools rather than operational solutions.
D) Power BI dashboards provide analytics on request volumes, SLA compliance, and team performance. While valuable for reporting, Power BI cannot automate operational workflows, categorize requests, or trigger notifications, making it purely analytical.
The correct answer is A because Power Automate with AI Builder and Dataverse enables automated categorization, SLA tracking, assignment, and escalation, ensuring operational efficiency, SLA adherence, and improved service quality. Other options are manual or analytical.
Question 80
A company wants to automate employee task assignment, including role-based allocation, notifications, tracking completion, and escalation for overdue tasks. Which solution is most appropriate?
A) Power Automate flows with conditional logic and Dataverse integration.
B) Canvas app for manual task assignment and tracking.
C) Model-driven dashboards showing task completion status.
D) Power BI dashboards for task performance analytics.
Answer: A)
Explanation
A) Power Automate enables automated workflows for employee task assignment. When a new task is created or an employee record is updated in Dataverse, conditional logic can allocate tasks based on role, department, or skillset. Notifications are automatically sent to employees and managers, reminding them of deadlines and pending tasks. Escalation workflows ensure overdue tasks are routed to supervisors for timely intervention. Dataverse integration provides centralized storage of task details, assignment history, completion status, and workflow logs for auditability and reporting. This solution is low-code, operational, scalable, and efficient, reducing manual effort, ensuring consistent task allocation, improving compliance with deadlines, and enhancing productivity. Automated workflows enable real-time tracking, proactive management of task completion, and operational oversight, allowing management to monitor workloads and performance effectively.
B) Canvas apps could allow manual task assignment and tracking. While feasible for small teams, this approach is manual, error-prone, and inefficient, lacking automated notifications, conditional assignment, and escalation workflows. High volumes of tasks would reduce operational efficiency and increase risk of missed deadlines.
C) Model-driven dashboards can display task statuses, completion rates, and pending assignments. While useful for monitoring, dashboards cannot assign tasks, send notifications, or escalate overdue tasks, limiting operational functionality.
D) Power BI dashboards provide analytical insights into task trends, employee performance, and completion rates. While valuable for reporting, Power BI cannot perform operational task assignments, notifications, or escalations, making it purely analytical.
The correct answer is A because Power Automate automates role-based task assignment, notifications, tracking, and escalation, integrated with Dataverse for operational efficiency, compliance, and scalability. Other options are manual or analytical.
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