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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Analyze the data
The following will be discussed in MICROSOFT DA-100 exam dumps:
- Use the Play Axis feature of a visualization
- Use the decomposition tree visual to break down a measure
- Use the Key Influencers to explore dimensional variances
- Conduct Time Series analysis
- Apply AI Insights
- Enhance reports to expose insights
- Create reference lines by using Analytics pane
- Perform top N analysis
- Apply conditional formatting
- Perform advanced analysis
- Identify outliers
- Apply slicers and filters
- Personalize visuals
- Add a Quick Insights result to a report
- Explore statistical summary
- Use the Q&A visual
- Use groupings and binnings
Target Audience
The potential candidates for the Microsoft DA-100 exam are Data Analysts. These professionals have the responsibility of enabling organizations to optimize their data asset values through the use of Microsoft Power BI. They also have the job responsibility of building and designing scalable data models, facilitating advanced analytics capacities, and transforming and cleaning data. These duties are aimed to offer significant business values through easy-to-understand data visualization. The Data Analysts also partner with the major stakeholders to deliver significant insights according to the identified business prerequisites.
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What is the cost of Exam DA-100: Analyzing Data with Microsoft Power BI
The cost of Exam DA-100: Analyzing Data with Microsoft Power BI is $165.
- Passing Score: 70%
- Format: Multiple choices, multiple answers
- Number of Questions: 40
- Length of Examination: 90 minutes
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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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
Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model the data | 30% | - Optimize model performance
|
| Topic 2: Analyze the data | 15% | - Perform advanced analysis
|
| Topic 3: Deploy and maintain deliverables | 10% | - Create and manage workspaces
|
| Topic 4: Prepare the data | 20% | - Clean the data
|
| Topic 5: Visualize the data | 25% | - Create reports
|
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