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Exam Topics for Exam DA-100: Analyzing Data with Microsoft Power BI

The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:

• Analyze the data
• Prepare the data
• Model the data
• Deploy and maintain deliverables
• Visualize the data

The Microsoft DA-100: Analyzing Data with Microsoft Power BI exam measures the capability of the individuals to complete certain technical tasks. These include preparing data, visualizing data, modeling data, analyzing data, and maintaining and deploying deliverables. This is the only test that is required to earn the Microsoft Certified: Data Analyst Associate certification.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Prepare the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

• Leverage Advanced Editor to modify Power Query M code
• Choose an appropriate query type
• Identify and create appropriate keys for joins
• Select a storage mode
• Resolve data import errors
• Use Microsoft Dataverse
• Combine queries
• Interrogate data statistics
• Examine data structures
• Use parameters
• Configure data loading
• Evaluate and transform column data types
• Select a shared dataset or create a local dataset
• Apply data shape transformations to table structures
• Apply user-friendly value replacements
• Apply user-friendly naming conventions to columns and queries
• Identify and connect to a data source
• Identify query performance issues
• Identify data anomalies
• Use or create a data flow
• Use or create a PBIDS file
• Interrogate column properties
• Change data source settings
• Resolve inconsistencies, unexpected or null values, and data quality issues

4. Data Analysis (10-15%):

This section requires your skills in:

• Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.
• Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.

Microsoft DA-100 Exam Syllabus Topics: