Skills measured
- Deploy and maintain deliverables (10-15%)
- Analyze the data (10-15%)
- Model the data (25-30%)
- Visualize the data (20-25%)
- Prepare the data (20-25%)
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For more info about Exam DA-100: Analyzing Data with Microsoft Power BI
Exam DA-100: Analyzing Data with Microsoft Power BI
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Conclusion: Getting Microsoft Certified Is Challenging But Possible!
The Microsoft Certified: Data Analyst Associate certificate will help secure a career as a data analyst, which will come with it a high paycheck and different career opportunities. However, achieving this certification won’t be easy as one needs to overcome DA-100 (Analyzing Data with Microsoft Power BI) exam. But, with a huge number of study guides available on Amazon and the official MS training course, passing this test is going to be that much easier.
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Exam Topics
Microsoft expects that the successful candidates get the passing score of 720 points on a scale of 100-1000. This mark is achievable if you put your mind to it. To succeed, you must understand the Microsoft DA-100 exam topics that are as follows:
1. Data Preparation (20-25%):
This part includes the following areas:
- Data profile: The test takers should have competence in interrogating data statistics and column properties as well as identifying data anomalies and evaluating data structures.
- Cleaning, loading, & transforming data: This subject area requires that the students understand how to combine queries, utilize user-friendly value substitutions, solve data import errors, transform and measure column data types, and configure the data loading. It also covers their skills in applying data shape transformations for table structures and user-friendly conventional naming for queries and columns. The individuals should also have the expertise in leveraging Advanced Editor or modifying Power Query M-code.
- Collecting data from various data sources: The candidates must be able to connect and identify data sources, alternate data source settings, and choose storage mode and shared datasets, or build local datasets. They also need the capacity to select the relevant query type, utilize parameters, Microsoft Dataverse, create or use PBIDS files, and data flow.
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Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prepare the data | 20-25% | - Profile and examine data - Get data from different sources - Clean, transform, and load data |
| Model the data | 25-30% | - Design and develop data models - Optimize model performance - Create calculated tables and columns - Create measures using DAX |
| Analyze the data | 10-15% | - Apply AI visuals and insights - Identify patterns and trends - Perform advanced analysis |
| Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets - Share and distribute content - Configure refresh and security |
| Visualize the data | 20-25% | - Create reports and dashboards - Enrich reports for usability - Apply filters, slicers, and formatting |



