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Microsoft 070-775 Actual Tests : Perform Data Engineering on Microsoft Azure HDInsight
About Best Microsoft 070-775 Exam Practice Material
Certification exams change, and study material has to change with them. In 2026, Actual4test continues to refresh its 070-775 practice questions, and every Microsoft Perform Data Engineering on Microsoft Azure HDInsight purchase includes 365 days of free updates.
Microsoft 070-775 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Perform Data Engineering on Microsoft Azure HDInsight |
| Exam Number: | 70-775 |
| Exam Format: | Case Study, Scenario-Based Questions, Multiple Choice, Multiple Response |
| Related Certifications: | MCSA: Data Engineering with Azure |
| Certificate Validity Period: | Certification retired |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 120 minutes |
| Passing Score: | 700/1000 |
| Exam Price: | USD 165 |
| Available Languages: | English |
| Sample Questions: | Microsoft 070-775 Sample Questions |
| Exam Way: | Delivered through Pearson VUE testing centers and online proctored exam delivery (during active lifecycle). Exam retired and no longer available. |
| Pre Condition: | No formal prerequisite exam. Microsoft recommended experience with Azure data services, relational databases, data analytics concepts, and programming/scripting for big data solutions. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/ |
Microsoft 070-775 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Big Data Interactive Processing Solutions | 25% | - Create interactive query solutions
|
| Administer and Provision HDInsight Clusters | 25% | - Secure and manage multi-user clusters
|
| Implement Big Data Batch Processing Solutions | 25% | - Design ETL solutions with Spark
|
| Implement Big Data Real-Time Processing Solutions | 25% | - Implement event processing solutions
|
Microsoft Perform Data Engineering on Microsoft Azure HDInsight: Your Questions, Answered
The 070-775 exam (Perform Data Engineering on Microsoft Azure HDInsight) is the official Microsoft exam that leads to the Microsoft Azure HDInsight certification, a credential at the Associate level. Related certifications include MCSA: Data Engineering with Azure. Actual4test provides 63 practice questions to help you prepare for it with confidence.
The 070-775 exam contains 40-60 questions and gives you 120 minutes to finish them. Before exam day, divide the total time by the question count so you know the pace you need to keep, and flag difficult items instead of getting stuck on them. Running at least one full timed session in the Actual4test test engine is the best way to make that time pressure feel familiar.
You need 700/1000 to pass, and the official registration fee is USD 165. Keep in mind that a failed attempt means paying that fee in full again, so it pays to test yourself first. When your scores on the Actual4test timed practice tests stay consistently above the passing line, you are ready to book the exam.
No formal prerequisite exam. Microsoft recommended experience with Azure data services, relational databases, data analytics concepts, and programming/scripting for big data solutions. Requirements can change over time, so always double-check the latest eligibility rules before you register on the official Microsoft exam page.
Yes. Actual4test offers a free 070-775 PDF demo so you can check the quality of the practice questions before purchasing. After you buy, your product comes with 365 days of free updates, and if it expires you can renew the update service at a 50% discount from your member zone.
Your purchase is protected by our 100% Money Back Guarantee. If you take the corresponding 070-775 exam within 60 days of purchase and do not pass, send us a scan of your enrollment slip and the official Score Report PDF within two days of the exam, and the full refund will be processed within seven days. The candidate name must match the payer name; exams taken within three days of purchase, free materials, and expired orders are not eligible. If you would rather not refund, you can exchange your product for two free products of equal value and keep the update service on your original purchase. Delivery itself is instant: your material is available for download and is emailed to you within one minute of payment. If nothing arrives within two hours, contact our support team. There is no limit on how many computers you may install it on.
The 070-775 syllabus is organized into 4 exam domains. Among the first three are Implement Big Data Interactive Processing Solutions (25%), Administer and Provision HDInsight Clusters (25%), Implement Big Data Batch Processing Solutions (25%). For the complete breakdown of topics and subtopics, see the Exam Topics section above.
Microsoft Perform Data Engineering on Microsoft Azure HDInsight Sample Questions:
You have an Apache Hive cluster in Azure HDInsight.
You plan to ingest on-premises data into Azure Storage.
You need to automate the copying of the data to Azure Storage.
Which tool should you use?
- A. Azure Import/Export Service
- B. AzCopy
- C. Microsoft Azure Storage Explorer
- D. Azure Backup
Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).
You have an Azure HDInsight cluster.
You need a build a solution to ingest real-time streaming data into a nonrelational distributed database.
What should you use to build the solution?
- A. Apache Pig and Apache HCatalog
- B. Apache Hive and Apache Kafka
- C. Apache Storm and Apache HBase
- D. Spark and Phoenix
Explanation: Only visible for Actual4test 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 a domain-joined HDInsight cluster for query and analytics batch jobs. The cluster will be managed by using HDInsight applications. Apache Oozie will be used for scheduling jobs.
What should you do?
- A. 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.
- B. Use the Azure portal to create a standard HDInsight cluster. Specify Apache Spark 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 portal to create a standard HDInsight cluster. Specify Apache HBase as the cluster type and use Linux as the operating system.
- F. 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.
- 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 Actual4test members. You can sign-up / login (it's free).
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You are planning a big data infrastructure by using an Apache Spark cluster in Azure HDInsight. The cluster has 24 processor cores and 512 GB of memory.
The architecture of the infrastructure is shown in the exhibit. (Click the Exhibit button.)
The architecture will be used by the following users:
Support analysts who run applications that will use REST to submit Spark jobs.
Business analysts who use JDBC and ODBC client applications from a real-time view. The business analysts run monitoring queries to access aggregate results for 15 minutes. The results will be referenced by subsequent queries.
Data analysts who publish notebooks drawn from batch layer, serving layer, and speed layer queries. All of the notebooks must support native interpreters for data sources that are batch processed. The serving layer queries are written in Apache Hive and must support multiple sessions. Unique GUIDs are used across the data sources, which allow the data analysts to use Spark SQL.
The data sources in the batch layer share a common storage container. The following data sources are used:
Hive for sales data
Apache HBase for operations data
HBase for logistics data by using a single region server
You need to ensure that the data analysts can use the notebooks.
What should you install?
- A. Zeppelin on workstations that access the batch layer
- B. Jupyter on workstations that access the batch layer
- C. Jupyter in the batch layer
- D. Zeppelin in the batch layer
Explanation: Only visible for Actual4test 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 a table that contains sales dat
a.
You plan to implement a query that will return the number of orders by zip code.
You need to minimize the execution time of the queries and to maximize the compression level of the resulting data.
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. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
- D. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
- E. Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
- F. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
- G. Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
- H. Use an action in an Apache Oozie workflow that stores the data in a text format.
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