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What are the special features of the Microsoft Power BI Data Analyst Certification Exam
The Microsoft Power BI Data Analyst Certification Exam will help you prepare for the new job role of a data analyst. A certified Data Analyst can use this exam to prove their skills in using Power BI to analyze business data, generate insightful visualizations, and share them with customers. Microsoft PL-300 Dumps is designed to test your knowledge of business data modeling, data analysis and visualization, and dashboard development in Power BI. The exam will cover the following topics:
Creating custom data models that support analysis and reporting requirements
Understanding business context, including organizational strategy and objectives
Identifying sources of data that can contribute to achieving business goals
Developing dashboards that provide actionable insights into business performance
On-line practice for Microsoft Power BI Data Analyst exam certification
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Learn more about the exam
The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
Microsoft PL-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Model the data | 25-30% | - Optimize model performance
- 1. Reduce cardinality and data size
- 2. Optimize relationships and calculations
- 3. Use aggregations and composite models
- Create model calculations
- 1. Use DAX: calculated columns, calculated tables, measures
- 2. Implement aggregation and time intelligence
- 3. Use CALCULATE and filter context
- Design data models
- 1. Create common date tables
- 2. Define tables, columns, and hierarchies
- 3. Create relationships: cardinality, cross-filter direction, security
- 4. Implement role-playing dimensions
|
| Topic 2: Manage and secure Power BI | 15-20% | - Deploy and distribute content
- 1. Embed content in applications or websites
- 2. Monitor usage and performance
- 3. Share reports, dashboards, and apps
- Manage workspaces and assets
- 1. Manage data refresh and scheduled updates
- 2. Create and configure workspaces
- 3. Publish, update, and organize reports/datasets
- Implement security and governance
- 1. Apply data sensitivity labels and protection
- 2. Manage permissions and access
- 3. Configure row-level security (RLS) and object-level security
|
| Topic 3: Prepare the data | 25-30% | - Get or connect to data
- 1. Identify and connect to data sources or shared semantic models
- 2. Create and modify parameters
- 3. Choose storage modes: Import, DirectQuery, DirectLake
- 4. Configure data source settings, credentials, and privacy levels
- Load and configure data
- 1. Integrate data from multiple sources
- 2. Define table structures and properties
- 3. Configure data refresh settings
- Profile and clean data
- 1. Resolve inconsistencies, null values, and errors
- 2. Manage data types, columns, and rows
- 3. Evaluate data statistics and column properties
- 4. Transform data using Power Query Editor
|
| Topic 4: Visualize and analyze data | 25-30% | - Enhance reports with analytics
- 1. Create paginated reports
- 2. Use AI visuals, forecasts, and key influencers
- 3. Apply conditional formatting and custom visuals
- Perform data analysis
- 1. Interpret results and identify trends
- 2. Implement custom visuals and R/Python scripts
- 3. Create and manage bookmarks and tooltips
- Create reports and dashboards
- 1. Choose appropriate visualizations
- 2. Design report layout, formatting, and interactivity
- 3. Create dashboards and pinned elements
- 4. Apply filters, slicers, and drill-through
|