Power Query Practice Exam

Power Query Practice Exam

Power Query is a advanced tool which is used with Microsoft Excel and Power BI for data transformation. The tool provides facilities to extract, clean, transform, and load data from multiple sources into a specific format for data analysis. It helps in data analysis by making the input data accurate and clear.

A certification in Power Query ensures your skills and knowledge to connect to various types of data sources, data cleaning and transformation as well as  automating tasks.
Why is Power Query certification important?

• The certification proves your skills in data cleaning and transformation.
• Boosts your employability in analytical roles.
• Proves your expertise in using Microsoft Excel and Power BI.
• Attests to your skills data analysis of large datasets.
• Provides you a competitive edge in analytics jobs.
• Builds your credibility for freelance .

Who should take the Power Query Exam?

• Data Analysts
• Business Analysts
• Financial Analysts
• BI Developers
• Excel Power Users
• Data Engineers
• Accountants and Auditors
• Reporting Specialists
• Project Managers in Analytics
• IT Professionals in Data Management

Skills Evaluated

Candidates taking the certification exam on the Power Query is evaluated for the following skills:

• Data extraction
• Data transformation and cleaning
• Queries
• Data workflows and merge datasets
• Automation
• M language
• Power Query and Power BI and Excel

Power Query Certification Course Outline
The course outline for Power Query certification is as below -

Domain 1 - Introduction to Power Query

• Overview of Power Query in Excel and Power BI
• Benefits and use cases

Domain 2 - Data Connections

• Connecting to various data sources (databases, files, APIs)
• Managing and updating data connections

Domain 3 - Data Transformation

• Cleaning and reshaping data
• Pivoting, unpivoting, and transposing data

Domain 4 - Query Management

• Creating and editing queries
• Combining queries (merge and append)

Domain 5 - Automation and Efficiency

• Automating data refreshes
• Using parameters for dynamic queries

Domain 6 - Advanced Techniques

• Introduction to Power Query M language
• Custom column creation and advanced transformations

Domain 7 - Integration with Excel and Power BI

• Importing Power Query outputs into Excel and Power BI
• Building data models with Power Query outputs

Domain 8 - Troubleshooting and Debugging

• Handling errors in data transformation
• Debugging query issues