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What career bonuses will you get after passing the Microsoft DA-100 exam?
The certifications from a renowned vendor such as Microsoft enhance the chances of the professionals to land a decent job. The individuals with the Microsoft Certified: Data Analyst Associate certificate are also at an advantage because this option validates their skills and competence in a specific technical domain. Some of the job titles that the certified specialists can pursue include a Data Analyst, a Business Analyst, a Mobile Test Analyst, a Revenue Analyst, and a Quantity Assurance Analyst. The average salary for these experts is $105,000 per annum.
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 Model the data
The following will be discussed in MICROSOFT DA-100 exam dumps:
- Define a relationship's cardinality and cross-filter direction
- Set up the Q&A feature
- Define role-playing dimensions
- Create and manage aggregations
- Create measures by using DAX
- Design the data model to meet performance requirements
- Apply cross-filter direction and security filtering
- Create hierarchies
- Replace numeric columns with measures
- Define the appropriate level of data granularity
- Identify poorly performing measures, relationships, and visuals
- Use CALCULATE to manipulate filters
- Resolve many-to-many relationships
- Implement row-level security roles
- Create a common date table
- Improve cardinality levels by changing data types
- Optimize model performance
- Design a data model
- Use DAX to build complex measures
- Create calculated columns
- Create calculated tables
- Implement Time Intelligence using DAX
- Configure table and column properties
- Develop a data model
- Remove unnecessary rows and columns
- Flatten out a parent-child hierarchy
- Improve cardinality levels through summarization
- Create semi-additive measures
- Define quick measures
- Define the tables
- Use basic statistical functions to enhance data
Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analyze the data | 10-15% | - Identify patterns and trends - Apply AI visuals and insights - Perform advanced analysis |
| Topic 2: Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets - Configure refresh and security - Share and distribute content |
| Topic 3: Visualize the data | 20-25% | - Create reports and dashboards - Enrich reports for usability - Apply filters, slicers, and formatting |
| Topic 4: Model the data | 25-30% | - Create measures using DAX - Create calculated tables and columns - Design and develop data models - Optimize model performance |
| Topic 5: Prepare the data | 20-25% | - Clean, transform, and load data - Profile and examine data - Get data from different sources |
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