Exam Name: Perform Data Engineering on Microsoft Azure HDInsight
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure HDInsight
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Last Updated: Sep 07, 2026
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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 |
| Exam Format: | Scenario-based questions, Case study, Multiple choice |
| Real Exam Qty: | 40-60 |
| Exam Price: | $165 USD |
| Passing Score: | 700/1000 |
| Related Certifications: | MCSA: Machine Learning |
| Certificate Validity Period: | Retired (no longer available) |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| 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 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Design and implement batch processing solutions using HDInsight | - Implement Hadoop and Spark-based batch processing solutions
|
| Secure data and ensure compliance | - Security in HDInsight environments
|
| Ingest and prepare data | - Data ingestion pipelines
|
| Design and implement stream processing solutions | - Real-time data processing on Azure HDInsight
|
| Manage and monitor HDInsight solutions | - Cluster management and monitoring
|
Your Microsoft Perform Data Engineering on Microsoft Azure HDInsight Questions, Answered
The 070-775 exam, officially titled Perform Data Engineering on Microsoft Azure HDInsight, is the qualifying test for the MCSA: Machine Learning certification from Microsoft, a credential at the Professional level. Passing it proves you have the skills employers look for in certified professionals, and it can also support progress toward related credentials such as MCSA: Machine Learning.
The Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam gives you 120 minutes to work through 40-60 questions. That is a steady pace with little room for second-guessing, so train yourself to read each question once, flag the difficult ones, and keep moving. Before exam day, sit at least two full timed sessions in the Fast2test test engine — when the clock feels familiar, it stops being a threat.
You need 700/1000 to pass, and the official registration fee is $165 USD. Fall short and you pay that fee in full again for every retake, which makes solid preparation the cheaper option by far. Work through the Fast2test practice questions until you score comfortably above the passing mark, then book your seat.
Basic knowledge of Azure services, Hadoop ecosystem concepts (HDFS, Hive, Spark), and data engineering fundamentals recommended. Eligibility rules can change over time, so before you register, confirm the latest requirements on the official exam page: Microsoft 070-775 exam overview.
You can book your 070-775 exam through any of these official registration channels:
The exam is delivered as Online proctored or authorized testing center (historical Microsoft certification delivery model), so you can pick the option that fits your schedule when you book.
Microsoft recommends the following training for Microsoft Perform Data Engineering on Microsoft Azure HDInsight candidates:
- Microsoft Learn - Azure HDInsight learning paths
- Apache Hadoop and Spark on Azure HDInsight documentation
Pair that training with the 63 practice questions from Fast2test and you can check your readiness topic by topic before exam day.
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The Microsoft Perform Data Engineering on Microsoft Azure HDInsight syllabus is organized into 5 domains. The main areas include Secure data and ensure compliance, Manage and monitor HDInsight solutions, and Design and implement batch processing solutions using HDInsight. Scroll up to the Exam Topics section above for the complete, current outline before you plan your study schedule.
Microsoft Perform Data Engineering on Microsoft Azure HDInsight Sample Questions:
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight.
You have a workflow that retrieves data by using a U-SQL query.
You need to provide the ability to query and combine data from multiple data sources.
What should you do?
- A. Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
- B. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
- C. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
- D. Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
- E. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
- F. Use an action in an Apache Oozie workflow that stores the data in a text format.
- G. Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
- H. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight.
You have data stored in Azure.
You need to ensure that you can access the data by using Azure Active Directory (Azure AD) identities.
What should you do?
- A. Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
- B. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
- C. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
- D. Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
- E. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
- F. Use an action in an Apache Oozie workflow that stores the data in a text format.
- G. Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
- H. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are building a security tracking solution in Apache Kafka to parse security logs. The security logs record an entry each time a user attempts to access an application. Each log entry contains the IP address used to make the attempt and the country from which the attempt originated.
You need to receive notifications when an IP address from outside of the United States is used to access the application.
Solution: Create new topics. Create a file import process to send messages. Start the consumer and run the producer.
Does this meet the goal?
- A. No
- B. Yes
You have an Apache Spark job.
The performance of the job deteriorates over time.
You plan to debug the job.
You need to gather information that you can use to debug the job.
Which tool should you use?
- A. Jupyter Notebook
- B. Spark History Server
- C. HDInsight Cluster Dashboard
- D. YARN
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You need to deploy an HDInsight cluster that will have a custom Apache Ambari configuration. The cluster will be joined to a domain and must perform the following:
Fast data analytics and cluster computing by using in-memory processing Interactive queries and micro-batch stream processing What should you do?
- A. Use an Azure PowerShell script to create a premium HDInsight cluster. Specify Apache HBase as the cluster type and use Linux as the operating system.
- B. Use an Azure portal to create a standard HDInsight cluster. Specify Apache HBase as the cluster type and use Linux as the operating system.
- C. Use an Azure PowerShell script to create a standard HDInsight cluster. Specify Apache HBase as the cluster type and use Windows as the operating system.
- D. Use an Azure portal to create a standard HDInsight cluster. Specify Apache Interactive Hive as the cluster type and use Linux as the operating system.
- E. Use an Azure PowerShell script to create a standard HDInsight cluster. Specify Apache Storm as the cluster type and use Windows as the operating system.
- F. Use the Azure portal to create a standard HDInsight cluster. Specify Apache Spark as the cluster type and use Linux as the operating system.
- G. Use an Azure PowerShell script to create and configure a premium HDInsight cluster. Specify Apache Hadoop as the cluster type and use Linux as the operating system.
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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