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Career Opportunities
The professionals with the Microsoft Certified: Data Analyst Associate certification are qualified for a variety of job titles. These include a Junior Data Analyst, an Associate Analyst, an Associate Consultant, a Certified Retail Analyst, a Technology Support Analyst, a Digital Media Analyst, and a Network Analyst. The average salary for these positions is $52,000 per annum.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Microsoft DA-100 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Analyzing Data with Microsoft Power BI |
| Exam Number: | DA-100 |
| Passing Score: | 700/1000 |
| Exam Duration: | 150-180 |
| Exam Price: | $165 USD |
| Certificate Validity Period: | Retired on March 31, 2022; certification valid for lifetime once earned |
| Exam Format: | Scenario-based, Multiple-select, Drag-and-drop, Case study, Multiple-choice |
| Related Certifications: | PL-300: Microsoft Power BI Data Analyst |
| Available Languages: | Arabic (Saudi Arabia), Chinese (Simplified), Indonesian (Indonesia), Italian, Russian, German, Chinese (Traditional), Japanese, Korean, Spanish, Portuguese (Brazil), English, French |
| Real Exam Qty: | 40-60 |
| Recommended Training: | Microsoft Learn Self-Paced Modules DA-100T00: Analyzing Data with Power BI |
| Exam Registration: | Pearson VUE Registration Microsoft Learn Exam Page |
| Sample Questions: | Microsoft DA-100 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized Pearson VUE test centers |
| Pre Condition: | No official prerequisites; basic knowledge of data analysis, Excel, and SQL recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/da-100/ |
4. Data Analysis (10-15%):
This section requires your skills in:
- 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.
- 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.
Microsoft DA-100 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Share and distribute content - Manage workspaces and datasets |
| Prepare the data | 20-25% | - Get data from different sources - Profile and examine data - Clean, transform, and load data |
| Visualize the data | 20-25% | - Enrich reports for usability - Apply filters, slicers, and formatting - Create reports and dashboards |
| Analyze the data | 10-15% | - Perform advanced analysis - Identify patterns and trends - Apply AI visuals and insights |
| Model the data | 25-30% | - Create measures using DAX - Optimize model performance - Design and develop data models - Create calculated tables and columns |
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