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Microsoft 070-775 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Perform Data Engineering on Microsoft Azure HDInsight |
| Exam Number: | 70-775 |
| Related Certifications: | MCSA: Machine Learning |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | Retired (no longer available) |
| Exam Price: | $165 USD |
| Exam Format: | Multiple choice, Scenario-based questions, Case study |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Passing Score: | 700/1000 |
| Recommended Training: | Apache Hadoop and Spark on Azure HDInsight documentation Microsoft Learn - Azure HDInsight learning paths |
| Exam Registration: | Microsoft Learn Certification Exam Page |
| Sample Questions: | Microsoft 070-775 Sample Questions |
| Exam Way: | Online proctored or authorized testing center (historical Microsoft certification delivery model) |
| Pre Condition: | Basic knowledge of Azure services, Hadoop ecosystem concepts (HDFS, Hive, Spark), and data engineering fundamentals recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/exams/70-775/ |
Microsoft 070-775 certification exam is a great way for data engineers to demonstrate their expertise in big data solutions on HDInsight clusters. By passing 070-775 exam, candidates can validate their skills and knowledge, and advance their career in the field of data engineering.
Earning the Microsoft 070-775 certification can offer several benefits to IT professionals. It can help demonstrate their expertise in big data solutions and increase their employability in the industry. Additionally, certification holders may be able to command higher salaries and advance their careers in data engineering or data architecture roles. Furthermore, the certification can provide a foundation for further study and specialization in big data technologies.
Reference: https://www.microsoft.com/en-us/learning/exam-70-775.aspx
Microsoft 070-775 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Design and implement stream processing solutions | - Real-time data processing on Azure HDInsight
|
| Topic 2: Ingest and prepare data | - Data ingestion pipelines
|
| Topic 3: Secure data and ensure compliance | - Security in HDInsight environments
|
| Topic 4: Design and implement batch processing solutions using HDInsight | - Implement Hadoop and Spark-based batch processing solutions
|
| Topic 5: Manage and monitor HDInsight solutions | - Cluster management and monitoring
|
By Meroy
