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Power Platform Fundamentals
OverviewAs a candidate for this certification, you aspire to understand how Microsoft Power Platform technologies can be used to:
- Develop tailored business solutions.
- Identify how Microsoft Dataverse supports the interoperability of Microsoft Power Platform.
- Accelerate business outcomes by using Microsoft Power Apps for low code/no code solutions.
- Improve processes by using Microsoft Power Automate and Process mining.
- Identify use cases for Microsoft Power Pages.
- Help make data-driven technology decisions by using Microsoft Power BI.
- Evaluate how Copilot can assist with each of these.
To pass the Microsoft Power Platform Fundamentals (PL-900) exam, you'll want to be familiar with key concepts and terminology across Power Platform's four main products, plus governance, administration, and AI Builder.
Here’s a breakdown of essential PL-900 keywords by category:
🔹 Power Platform Core Concepts
Here’s a breakdown of essential PL-900 keywords by category:
🔹 Power Platform Core Concepts
- Common Data Service (Dataverse) – Cloud-based storage platform that standardizes data.
- Connectors – Prebuilt APIs used to connect Power Platform apps to data sources (e.g., SharePoint, Outlook, SQL).
- Dataflows – Used for data ingestion and transformation into Dataverse or other services.
- Environments – Containers for storing, managing, and sharing Power Platform resources.
- Canvas Apps – Apps where you design the UI by dragging and dropping elements.
- Model-driven Apps – Apps based on data models and business processes using Dataverse.
- Portals – External-facing websites built using Power Apps.
- Control – UI elements such as text input, drop-downs, galleries, etc.
- Form – Interface to input and edit data in model-driven apps.
- Screen – Canvas app pages used to separate functionality.
- Flow – An automated workflow triggered by events.
- Triggers – Events that start a flow (manual, scheduled, automatic).
- Actions – Steps taken by the flow after it’s triggered.
- Approval Flow – Flow that automates approval requests.
- Dataset – Collection of data used in reports.
- Report – Visualization layer of data.
- Dashboard – Aggregated view of key visuals.
- Data Source – External systems where Power BI gets data.
- Power BI Service – Cloud-based platform to publish and share reports.
- Power BI Desktop – Application used to create reports and data models.
- Bot – AI-driven chatbot created to engage with users.
- Topic – Dialog or conversation path in the bot.
- Trigger Phrases – Words that start a topic.
- Entities – Data points a bot can recognize in user input.
- Model – AI model that analyzes data to make predictions.
- Form Processing – Extracting text from structured documents.
- Object Detection – Recognizes physical items from images.
- Prediction Model – Uses historical data to forecast outcomes.
- Data Loss Prevention (DLP) – Policies to prevent sharing of data across apps or environments.
- Role-based Security – Controls user access based on their role.
- Admin Center – Centralized hub for managing environments and settings.
- Tenant – Represents your organization within Microsoft 365.
- Licensing Models – Determines access to Power Platform services and features.
- Digitization – Replacing manual processes with digital apps and automation.
- Citizen Developer – Non-IT users who create solutions using low-code tools.
- Process Automation – Use of Power Automate to streamline repetitive tasks.
NICE Mapping to PL-900: Microsoft Power Platform Fundamentals
National Initiative for Cybersecurity Careers and Studies (NICCS) framework. The purpose of this mapping is to align each course with the appropriate Framework Categories, Work Roles, Competency Areas, and associated knowledge, skills, and abilities (KSAs) as outlined in the NICE Cybersecurity Workforce Framework.
Course Description: This course introduces the Power Platform components—Power BI, Power Apps, Power Automate, and Power Virtual Agents—and how to build simple solutions, automate processes, and analyze data securely.
Framework Categories: Design and Development
Work Roles: Secure Software Development
Competency Areas:
Framework Categories: Design and Development
Work Roles: Secure Software Development
Competency Areas:
- DevSecOps
Integrating security practices within low-code/no-code development workflows.
- Cryptography
Applying secure data handling techniques using encryption and protection mechanisms.