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A Microsoft certification answers the question every interviewer is quietly circling. ITCertMagic's Microsoft Perform Data Engineering on Microsoft Azure HDInsight practice questions are the shortest honest route through the 70-775 exam.
Microsoft 70-775 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Perform Data Engineering on Microsoft Azure HDInsight |
| Exam Number: | 70-775 |
| Available Languages: | English |
| Real Exam Qty: | 40-60 |
| Exam Price: | USD 165 |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | Certification retired |
| Exam Format: | Case Study, Multiple Choice, Multiple Response, Scenario-Based Questions |
| Related Certifications: | MCSA: Data Engineering with Azure |
| Passing Score: | 700/1000 |
| Sample Questions: | DOWNLOAD DEMO |
| 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 70-775 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Big Data Interactive Processing Solutions | 25% | - Create interactive query solutions
|
| Topic 2: Implement Big Data Real-Time Processing Solutions | 25% | - Create Spark Streaming applications
|
| Topic 3: Implement Big Data Batch Processing Solutions | 25% | - Operationalize Hadoop and Spark workloads
|
| Topic 4: Administer and Provision HDInsight Clusters | 25% | - Deploy and configure HDInsight clusters
|
70-775 Exam FAQ: Microsoft Candidates' Top Questions
At its core, the 70-775 exam is Microsoft's gatekeeper for the Microsoft Azure HDInsight certification — a Associate-level credential. It examines how well you apply the Microsoft Perform Data Engineering on Microsoft Azure HDInsight objectives to realistic scenarios, which is why hands-on candidates tend to outperform pure memorizers. The credential also links into a wider path covering MCSA: Data Engineering with Azure, so it works as both a standalone achievement and a stepping stone. In a market where certificates increasingly signal ability, passing 70-775 is a concrete, verifiable upgrade to your professional profile.
The Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam draws its questions from 4 domains, starting with Implement Big Data Real-Time Processing Solutions (25%), Implement Big Data Batch Processing Solutions (25%), and Administer and Provision HDInsight Clusters (25%). Smart candidates read weightings as a resource map: heavy domains get the deepest practice, light domains get efficient review. You'll find the complete domain list in the exam topics section above — let it drive your schedule.
The Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam fits 40-60 questions into 120 minutes. Convert that into a pace before exam day: total minutes divided by question count gives you a per-item budget, and the discipline to flag-and-return when something overruns it. Practicing under a live timer — the ITCertMagic test engines run one on every session — turns that discipline into reflex, so the clock works for you instead of against you.
The Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam requires 700/1000 to pass, and Microsoft charges USD 165 per attempt — full price, every time, including retakes. That pricing structure rewards preparation: run timed self-assessments with ITCertMagic practice questions, and only book your seat once your scores clear the bar consistently across multiple sessions. One well-prepared attempt is dramatically cheaper than two hopeful ones.
Officially, the Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam uses these formats: Multiple Choice, Multiple Response, Case Study, Scenario-Based Questions. Formats shape strategy — long scenario stems reward reading the final question sentence first, while multi-select items punish partial knowledge. The fix is exposure: ITCertMagic's 63 practice questions rehearse you in every listed format until the mechanics are second nature and only the content demands your attention.
Microsoft currently delivers the 70-775 exam in English. Select whichever language lets you parse questions fastest under time pressure — borderline scores are often decided by reading speed, not knowledge. If English is your choice, daily sessions with ITCertMagic's English 70-775 practice questions build exactly the vocabulary the exam uses.
The credential earned through the Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam remains valid for Certification retired. Note the expiry date the day you pass and start researching recertification options well in advance — planned renewals are routine, last-minute ones are stressful. Because recertification rules belong to Microsoft and change over time, verify the current policy on the official certification page as your renewal window approaches.
The content is identical — 63 expert-verified questions — so choose by lifestyle:
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Commuters and travelers usually live in the online engine; desk-bound studiers prefer the desktop version; annotators swear by the PDF.
There is. Many Microsoft Perform Data Engineering on Microsoft Azure HDInsight candidates are first-time test-takers, so ITCertMagic provides a free PDF demo containing real sample questions and answers — enough to judge the style, depth, and fit for your study habits. There's no single "perfect" study tool for everyone, only the one that suits you; download the demo and decide with evidence. Purchases then include 365 days of free updates, with renewal at 50% off afterward.
Our staff checks for Microsoft Perform Data Engineering on Microsoft Azure HDInsight changes every day. When the exam evolves, the question bank is updated and the latest version reaches you through your member zone — free for 365 days after payment. We also welcome rational customer suggestions and fold them into revisions. Watch the New Releases section or the ITCertMagic newsletter, re-check 3-4 days before your exam, and if a product ever expires, repurchase it at 50% off to restart the service.
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Join the growing number of candidates preparing smarter: download the free 70-775 demo, and let ITCertMagic's 63 practice questions carry your Microsoft Perform Data Engineering on Microsoft Azure HDInsight preparation from first look to passing score.
Microsoft Perform Data Engineering on Microsoft Azure HDInsight Sample Questions:
HOTSPOT
You install the Microsoft Hive ODBC Driver on a computer that runs Windows 10 and has the 64-bit version of Microsoft Office 2016 installed.
You deploy a new Apache Interactive Hive cluster in Azure HDInsight. The cluster is hosted at myHDICluster.azurehdinsight.net and contains a Hive table name hivesampletable that has 200,000 rows.
You plan to use HiveQL exclusively for the queries. The queries will return from 6,000 to 10,000 rows 90 percent of the time.
You need to configure a data source to ensure that you can use Microsoft Excel to access the dat a. The solution must ensure that the Hive queries execute as quickly as possible.
How should you configure the Advanced Options from the Microsoft Hive ODBC Driver DSN Setup dialog box? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-connect-excel-hive-odbc- driver
DRAG DROP
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
The business analysts require queries to monitor the sales dat
a. The queries must be faster and more interactive than the batch layer queries.
You need to create a new infrastructure to support the queries. The solution must ensure that you can tune the cache policies of the queries.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Correct Answer:

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 plan to deploy HDInsight applications and to have custom Apache Hive and Apache Oozie metastores.
You need to create an HDInsight cluster that supports joining a domain and accessing Azure Data Lake Store.
What should you do?
- A. Use the Azure portal to create a standard HDInsight cluster. Specify Apache Spark as the cluster type and use Linux as the operating system.
- B. 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.
- 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 PowerShell script to create and configure a premium HDInsight cluster. Specify Apache Hadoop as the cluster type and use Linux as the operating system.
- E. 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.
- F. Use an Azure portal to create a standard HDInsight cluster. Specify Apache HBase as the cluster type and use Linux as the operating system.
- G. 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.
Correct Answer: D 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
You have an Apache Hadoop cluster in Azure HDInsight that has a head node and three data nodes. You have a MapReduce job.
You receive a notification that a data node failed.
You need to identify which component cause the failure.
Which tool should you use?
- A. TaskTracker
- B. ResourceManager
- C. ApplicationMaster
- D. JobTracker
Correct Answer: B 🗳️
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 support analysts can develop embedded analytics applications by using the least amount of development effort.
Which technology should you implement?
- A. Zeppelin
- B. Jupyter
- C. Livy
- D. Apache Ambari
Correct Answer: C 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
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