Microsoft 070-475 Exam Details & Actual Exam Questions

Exam Code/Number: 070-475
Exam Name/Title: Design and Implement Big Data Analytics Solutions
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure

Exam Questions: 122
Updated On: Sep,17 2026
Certification Level: Specialist

Microsoft Design and Implement Big Data Analytics Solutions Exam Questions

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Microsoft 070-475 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Design and Implement Big Data Analytics Solutions
Exam Number:	70-475
Available Languages:	English
Real Exam Qty:	40-60
Exam Duration:	120 minutes
Certificate Validity Period:	Certification retired
Related Certifications:	Microsoft Specialist: Designing and Implementing Big Data Analytics Solutions MCSE: Data Management and Analytics
Exam Price:	$165 USD
Exam Format:	Multiple Response, Drag and Drop, Case Study, Build List, Multiple Choice
Passing Score:	700/1000
Sample Questions:	Microsoft 070-475 Sample Questions
Exam Way:	Delivered through Pearson VUE testing centers and online proctored testing (while the exam was active).
Pre Condition:	No mandatory prerequisite exam. Recommended experience with Azure, HDInsight, Hadoop, Spark, Azure Data Factory, and enterprise analytics solutions.
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/

Microsoft 070-475 Exam Syllabus Topics:

Section	Weight	Objectives
Implement Data Visualization and Reporting	10%	- Business Intelligence 1. Implement dashboards and visualizations 2. Integrate analytics outputs with reporting platforms 3. Create analytical reports
Manage Security and Operations	10%	- Administration 1. Monitor big data workloads 2. Manage operational processes 3. Implement security controls 4. Optimize performance and scalability
Implement Data Ingestion Solutions	25%	- Data Acquisition 1. Implement Azure Data Factory pipelines 2. Integrate on-premises and cloud data sources 3. Implement Event Hubs ingestion 4. Implement streaming data collection
Design Azure Big Data Solutions	25%	- Solution Architecture 1. Design batch processing solutions 2. Design real-time analytics solutions 3. Select appropriate Azure big data services 4. Design data storage strategies
Implement Big Data Processing	30%	- Data Processing and Analytics 1. Develop data transformation workflows 2. Implement Spark-based analytics 3. Process data with Hadoop ecosystem tools 4. Implement HDInsight solutions