Questions and Answers
What is the primary purpose of the Microsoft Power Platform fundamentals certification (PL-900)?
To help individuals enhance their career opportunities in the field of Power Platform
Which of the following is NOT a key topic covered in the Microsoft Power Platform fundamentals certification?
Developing Azure-based solutions
Which of the following best describes the target audience for the Microsoft Power Platform fundamentals certification?
Business users and IT professionals new to the Power Platform
After completing the Microsoft Power Platform fundamentals certification, what is the next step in an individual's career path?
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What is the recommended study time for the Microsoft Power Platform fundamentals certification (PL-900)?
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Which of the following domains is NOT covered in the Microsoft Power Platform fundamentals certification exam?
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What is the passing score required to pass the exam?
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What is the duration of the exam?
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How many main products make up the Power Platform?
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Which Power Platform product allows the creation of chatbots without coding?
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How do organizations benefit from the Power Platform?
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Study Notes
- The course is about the Microsoft Power Platform fundamentals certification (PL-900) aimed at helping individuals pass and achieve the certification to enhance their career opportunities.
- The certification covers key topics such as Power Platform components (Power Apps, Power BI, Power Automate, Power Virtual Agents), Dataverse, creating apps, dashboards, reports, workflows, and chatbots.
- Target audience includes those new to Power Platform, business users, administrators, developers, data analysts, IT professionals, senior Power Platform administrators or developers.
- After the fundamentals, individuals can pursue associate level certifications like Power Platform App Maker, functional consultant, developer, or the expert-level Power Platform Solutions architect.
- Various career paths are available post-certification, including roles in data analysis, Dynamics 365 certifications, Azure administrator, Azure developer, Azure Solutions architect, or DevOps engineer.
- Study time for the PL-900 certification varies based on background, ranging from 7 hours for experienced individuals to 16 hours for beginners, with an average of 12 hours recommended.
- The certification exam consists of six domains with different weightage for each domain, covering business value, foundational components, capabilities of Power BI, Power Apps, Power Automate, and complementary Power Platform Solutions.
- The exam format includes multiple choice, multiple answer, drag and drop, and yes or no questions, with a passing score of 700 points out of 1000.
- The exam duration is 60 minutes with a seat time of 90 minutes, and there is no penalty for wrong answers.
- The exam can be taken at an in-person test center or online through Pearson VUE, and the certification does not expire.- Practice exam questions provide explanations for correct and incorrect answers, with links to sources for reference.
- Questions in the exam do not require coding and vary in length and complexity.
- Questions may present scenarios where the best tool for a requirement needs to be identified.
- The Power Platform comprises five main products: Power Apps, Power Automate, Power BI, Power Virtual Agents, and Power Pages.
- Power Apps offer low-code development for custom business apps, with over 200 connectors and pre-built AI scenarios.
- Power Automate allows automated workflows between applications and services, with hundreds of pre-built connectors and AI Builder integration.
- Power BI is a business analytics service for data analysis and visualization, with real-time stream analytics capabilities.
- Power Virtual Agents enable chatbot creation without coding, reducing IT effort and empowering subject matter experts.
- Power Pages allow building and publishing web pages without extensive coding, offering advanced features like embedding Power BI dashboards.
- AI Builder in Power Platform enables adding AI capabilities to apps and workflows for predicting outcomes without coding.
- Microsoft Dataverse is a scalable data service and app platform for storing and managing data from multiple sources with a common data model.
- Connectors in the Power Platform enable connecting apps, data, and devices with over 600 connectors available.
- Organizations face challenges like changing workforce expectations, high custom app development costs, and the need for agility and efficient scaling.
- The Power Platform empowers organizations to automate processes, increase productivity, and drive outcomes without extensive coding expertise.
- Integration with Microsoft Dynamics 365 allows Power Platform apps to extend functionality or create custom apps that integrate with Dynamics 365 data.
- Microsoft Power Platform works seamlessly with Microsoft Teams, enabling access to Power Platform tools within Teams for enhanced collaboration.
- Power Platform Business Solutions can consume Microsoft Azure services through Azure APIs and connectors for leveraging cloud services like Azure Functions and Cognitive Services.
- The Power Platform security model is based on user roles, permissions, and data governance policies across tenant, environment, and data levels to ensure data protection.
- Environments in Power Platform serve as containers to manage and store business data, apps, chatbots, and flows based on organizational needs.
- Environment permissions in Power Platform include roles like environment admin and environment maker for managing administrative tasks and resources within environments.
- The Microsoft Power Platform admin Center is a web-based portal for administrators to manage and monitor Power Platform environments, including settings for environments, data policies, security, connectors, gateways, and more.
- The Microsoft 365 admin Center allows administrators to manage their Microsoft 365 tenant, including user management tasks like adding/deleting accounts, resetting passwords, managing roles, groups, licenses, settings, and security.- Group Management Admins can create and manage groups, assign group owners, and control group settings.
- License Management Admins can purchase, assign, and manage licenses for Microsoft 365 apps and services.
- Security Management Admins can set up and manage security features like multi-factor authentication, conditional access, and device management.
- Settings Management Admins can customize settings such as email, SharePoint, and team settings for their organization.
- Compliance Management Admins can manage features like data loss prevention, retention policies, and e-discovery.
- Billing and Subscriptions Admins can manage billing info, payment methods, view usage reports, and purchase new subscriptions.
- Microsoft 365 Admin Center is a central location for administrators to manage and configure various Microsoft 365 services.
- Dataverse is a cloud-based solution in the Power Platform Suite by Microsoft for structuring data and business logic securely and compliantly.
- Dataverse allows users to store and manage data with a flexible data model customizable to specific business needs.
- Dataverse supports creating, configuring, and managing data entities, fields, relationships, and complex business logic using no code or low code approaches.
- It integrates with external data sources, offers advanced features like data validation and Version Control, and can be used to build various business applications.
- Dataverse handles authentication with Azure AD, supports authorization down to row/column level, and provides rich auditing capabilities.
- Dataverse allows applying business logic at the data level consistently, regardless of user interaction.
- It stores data in Azure Cloud, removing concerns about data location and scalability, and connects using APIs, webhooks, Eventing, and data exports.
- A Dataverse database is a single instance storing data in tables with rows and columns, supporting large data sets and complex data models with scalability up to four terabytes per instance.
- Traditional databases differ from Dataverse in architecture (relational vs. entity-attribute-value), scalability, and integration requirements.
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