Microsoft Analyzing Data with Microsoft Power BI : DA-100

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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.

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

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

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

• Flatten out a parent-child hierarchy
• Use DAX to build complex measures
• Create calculated columns
• Create a common date table
• Define a relationship's cardinality and cross-filter direction
• Design a data model
• Define quick measures
• Use CALCULATE to manipulate filters
• Create hierarchies
• Implement row-level security roles
• Design the data model to meet performance requirements
• Create measures by using DAX
• Develop a data model
• Replace numeric columns with measures
• Improve cardinality levels by changing data types
• Define role-playing dimensions
• Define the tables
• Define the appropriate level of data granularity
• Identify poorly performing measures, relationships, and visuals
• Implement Time Intelligence using DAX
• Improve cardinality levels through summarization
• Resolve many-to-many relationships
• Configure table and column properties
• Use basic statistical functions to enhance data
• Apply cross-filter direction and security filtering
• Remove unnecessary rows and columns
• Optimize model performance
• Set up the Q&A feature
• Create calculated tables
• Create semi-additive measures
• Create and manage aggregations

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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:

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

Microsoft DA-100 Exam Syllabus Topics: