PL-300
PL-300
The primary objective of the PL-300 exam is to assess candidates’ proficiency in configuring
and implementing Microsoft Power Platform solutions to meet business requirements
effectively.
No prior knowledge is required. Learning will start from scratch.
| Course Title | PL-300 |
| Days per week | 1 Session per week |
| Number of hours per week | 3 hours per week |
| Total study time | 8 classes – 24 credit hours (2 Months) |
| Support | 24/7 Support and Recording Available |
- Upon successful completion of the PL-300 exam, candidates should possess the skills and
knowledge necessary to configure and implement Microsoft Power Platform solutions
effectively. They should be able to design, develop, and deploy custom apps, workflows, and
analytics solutions that streamline business processes, automate tasks, and drive
data-driven decision-making within organizations - Understanding Power Platform Services: Candidates should have a deep understanding of
Power Apps, Power Automate, Power BI, and Power Virtual Agents, including their
capabilities and how they interconnect. - Solution Design: Candidates should be able to analyze business processes, identify
automation opportunities, and design effective solutions using Power Platform services to
meet specific business requirements. - Solution Implementation: Candidates should possess the skills to implement designed
solutions using Power Platform services, including configuring custom apps with Power
Apps, automating workflows with Power Automate, and developing reports and dashboards
with Power BI. - Data Modeling and Integration: Proficiency in data modeling and integrating data from
diverse sources into Power Platform solutions, including understanding data types,
relationships, and entities in Common Data Service (CDS), as well as utilizing connectors for
external data integration. - Security and Governance: Understanding security concepts and best practices related to
Power Platform solutions, including configuring security roles and permissions, implementing
data loss prevention (DLP) policies, and ensuring compliance with organizational
governance requirements. - Monitoring and Troubleshooting: Ability to monitor the performance of Power Platform
solutions and effectively troubleshoot issues, utilizing built-in monitoring
Topics that will be covered
Prepare the data (25–30%)
Model the data (25–30%)
Visualize and analyze the data (25–30%)
Deploy and maintain assets (15–20%)
- Kevin Cookie Company Financials
- Apply relationship and Predicting Gold and other Commodities (2000 – 2022)
- Applying DAX and Evaluating Adventure Works (Bikes) Sales
- Loan Prediction in a Bank
- In-Depth Analysis of Information Technology (IT) Expenditure Dataset
- Predictive Analysis for Retail Sales Trends
- Comprehensive Facebook Engagement Analytics
- Thorough LinkedIn Performance Analytics
- Retrieving Data from a SQL Server Database
- Analyzing Employee Information Data from Microsoft Azure SQL Server
- Publishing Comprehensive Financial Analysis for the Company
- Creating Dashboards on Global Super Store dataset.
Overview
Course Modality
- On-site
- Online
Course Duration
- 2 Months
Course
- PL-300
Course Support
- 24/7 Support and Recording Available
Course Language
- English
Trainer Info
Wardah Arshad – Trainer Nodebook Private Limited
Ziauddin University Lecturer: Specializes in Python, Data Analysis, Data Structures. 4 years experience as Data Scientist, Analyst, ML expert.
