PDF Version DemoBenefits of having MICROSOFT 70-776 Certifications
MICROSOFT 70-776 certification will not only help you learn some new skills, it can position you for a higher paying job or help you transform your current role into a Big Data and Analytics professional. Get prepared to take this exam and become one of the very first Microsoft Big Data Certified professionals in the world using our relevance quality of MICROSOFT 70-776 Exam study material and so we bring best-in-industry MICROSOFT 70-776 Exam online course and practice exams for you to help in your exam preparation.
Perform Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Dumps will include below mentioned topics with Exam focused percentage
- Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics: 20-25%
- Design and Implement Analytics by Using Azure Data Lake: 25-30%
- Design and Implement Cloud-Based Integration by using Azure Data Factory: 15-20%
- Design and Implement Azure SQL Data Warehouse Solutions: 15-20%
- Design and Implement Complex Event Processing By Using Azure Stream Analytics: 15-20%
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Overview about MICROSOFT 70-776 Exam
- Length of Examination: 120 minutes
- Number of Questions: 40-60
- Format: Multiple choice, multiple answer
- Registration Fee: 165 USD
- Passing Score: 70-80%
How to book MICROSOFT 70-776 Certifications Exam?
- Signup/Login to MICROSOFT account
- Search for MICROSOFT 70-776 Certifications Exam
- Visit to Microsoft Exam Registration
- Select Date and Center of examination and confirm with payment value of 165$
Reference: https://www.microsoft.com/en-us/learning/exam-70-776.aspx
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Microsoft 070-776 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Visualize the Data | - Create reports and dashboards
|
| Topic 2: Deploy and Maintain Deliverables | - Security and governance
|
| Topic 3: Model the Data | - Create calculated columns and measures
|
| Topic 4: Prepare the Data | - Clean, transform, and load data
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| Topic 5: Analyze the Data | - Perform data analysis
|
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