Ideal Audience and Required Skills
DA-100 is intended for data analysts who use MS Power BI to enhance the value of the data their organization holds. These professionals are responsible for polishing and transforming data, creating expandable data models, and performing data visualizations that can be interpreted and analyzed to withdraw critical information. Data analysts also work alongside other stakeholders of the business to provide relevant data according to their company’s requirements. Thus, a strong prior understanding of both cloud & on-premises data processing and data repositories is also required by those specialists who are going to take test DA-100.
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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:
- Create calculated columns
- Improve cardinality levels through summarization
- Replace numeric columns with measures
- Create and manage aggregations
- Create measures by using DAX
- Improve cardinality levels by changing data types
- Use basic statistical functions to enhance data
- Set up the Q&A feature
- Design a data model
- Define a relationship's cardinality and cross-filter direction
- Create calculated tables
- Optimize model performance
- Define the appropriate level of data granularity
- Design the data model to meet performance requirements
- Develop a data model
- Implement row-level security roles
- Use DAX to build complex measures
- Create a common date table
- Flatten out a parent-child hierarchy
- Identify poorly performing measures, relationships, and visuals
- Remove unnecessary rows and columns
- Use CALCULATE to manipulate filters
- Define quick measures
- Create hierarchies
- Configure table and column properties
- Resolve many-to-many relationships
- Apply cross-filter direction and security filtering
- Define role-playing dimensions
- Implement Time Intelligence using DAX
- Create semi-additive measures
- Define the tables
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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:
- Identify and create appropriate keys for joins
- Use or create a PBIDS file
- Use or create a data flow
- Use Microsoft Dataverse
- Evaluate and transform column data types
- Select a storage mode
- Configure data loading
- Apply user-friendly value replacements
- Combine queries
- Use parameters
- Interrogate column properties
- Interrogate data statistics
- Choose an appropriate query type
- Apply data shape transformations to table structures
- Resolve inconsistencies, unexpected or null values, and data quality issues
- Resolve data import errors
- Identify data anomalies
- Apply user-friendly naming conventions to columns and queries
- Identify and connect to a data source
- Change data source settings
- Identify query performance issues
- Select a shared dataset or create a local dataset
- Leverage Advanced Editor to modify Power Query M code
- Examine data structures
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analyze the data | 10-15% | - Perform advanced analysis - Apply AI visuals and insights - Identify patterns and trends |
| Model the data | 25-30% | - Design and develop data models - Optimize model performance - Create measures using DAX - Create calculated tables and columns |
| Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Share and distribute content - Manage workspaces and datasets |
| Visualize the data | 20-25% | - Apply filters, slicers, and formatting - Create reports and dashboards - Enrich reports for usability |
| Prepare the data | 20-25% | - Profile and examine data - Clean, transform, and load data - Get data from different sources |
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