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The Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam has a reputation for catching even experienced professionals off guard. Lead2PassExam turns that challenge into a manageable plan with 63 targeted 70-775 practice questions updated for 2026.

Microsoft 70-775 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Perform Data Engineering on Microsoft Azure HDInsight
Exam Number:70-775
Available Languages:English
Related Certifications:MCSA: Data Engineering with Azure
Exam Duration:120 minutes
Exam Price:USD 165
Real Exam Qty:40-60
Passing Score:700/1000
Certificate Validity Period:Certification retired
Exam Format:Multiple Choice, Case Study, Multiple Response, Scenario-Based Questions
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:

SectionWeightObjectives
Topic 1: Implement Big Data Real-Time Processing Solutions25%- Create Spark Streaming applications
  • 1. Implement Structured Streaming
  • 2. Process streaming data in real time
  • 3. Use DStreams
- Implement event processing solutions
  • 1. Use Apache Storm
  • 2. Integrate Apache Kafka
  • 3. Store and process streaming data with HBase
Topic 2: Implement Big Data Interactive Processing Solutions25%- Create interactive query solutions
  • 1. Use Spark SQL
  • 2. Use Interactive Hive
- Implement interactive processing on HBase
  • 1. Use Apache Phoenix
  • 2. Query HBase data efficiently
- Perform exploratory data analysis
  • 1. Analyze data with Spark SQL
  • 2. Work with Jupyter notebooks
  • 3. Use Apache Zeppelin
  • 4. Use Hive for exploration
Topic 3: Implement Big Data Batch Processing Solutions25%- Implement batch processing with Hive and Pig
  • 1. Manage data processing workflows
  • 2. Execute Pig jobs
  • 3. Design Hive-based solutions
- Design ETL solutions with Spark
  • 1. Process large-scale datasets
  • 2. Create Spark ETL processes
  • 3. Optimize Spark performance
- Operationalize Hadoop and Spark workloads
  • 1. Automate workflows with Apache Oozie
  • 2. Use Azure Data Factory orchestration
Topic 4: Administer and Provision HDInsight Clusters25%- Secure and manage multi-user clusters
  • 1. Configure domain-joined clusters
  • 2. Manage user authorization and permissions
  • 3. Use Ambari and Ranger administration tools
- Deploy and configure HDInsight clusters
  • 1. Customize clusters with script actions
  • 2. Configure storage and networking
  • 3. Create and manage HDInsight cluster types
- Ingest and prepare data
  • 1. Load data into Azure Blob Storage
  • 2. Optimize data storage formats
  • 3. Load data into Azure Data Lake Store
- Monitor and troubleshoot clusters
  • 1. Use YARN logs and heap dumps
  • 2. Analyze HDInsight logs
  • 3. Monitor resources with Operations Management Suite

Microsoft 70-775 Exam FAQs

The Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam (exam code 70-775) is the official Microsoft exam that leads to the Microsoft Azure HDInsight certification, sitting at the Associate level of the Microsoft certification track. It is also connected with MCSA: Data Engineering with Azure. If this is the credential you are working toward, the 63 practice questions at Lead2PassExam map directly to its objectives.

The Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam includes 40-60 questions, and you have 120 minutes to complete them. Divide the time limit by the question count and you get a tight average pace per item, so train yourself to flag time-consuming questions and return to them later instead of getting stuck. Before test day, run at least one full timed session in the Lead2PassExam test engine under the same limits — the clock should never surprise you.

The passing score for Microsoft Perform Data Engineering on Microsoft Azure HDInsight is 700/1000, and the official registration fee is USD 165. A failed attempt means paying that fee in full again, so your preparation budget deserves the same attention as your study plan. A practical rule: book your exam date only after you can finish a Lead2PassExam practice test comfortably above the passing score more than once.

According to Microsoft, candidates should meet the following before registering: 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, so confirm the latest details on the official exam page before you register.

Yes. A free PDF demo of the 70-775 practice questions is available to download, so you can judge the format and quality before paying anything. Every purchase also includes 365 days of free updates, and if your product expires you can extend the update service at a 50% discount.

Your order is covered by a conditional 100% money-back guarantee: if you take the corresponding exam within 60 days of purchase and do not pass, you may apply for a full refund. Exams taken within 3 days of purchase are not eligible, nor are free materials or expired orders, and the candidate name must match the payer name. To claim, submit a scanned enrollment slip and your official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Prefer to keep studying? You can instead exchange your purchase for two free products of equal value while keeping the update service on your original one. Delivery itself is immediate: your product unlocks for instant download right after payment and a copy is emailed to you within a minute — if nothing arrives within 2 hours, contact our support team. There is no limit on the number of computers you can install it on.

The Microsoft Perform Data Engineering on Microsoft Azure HDInsight blueprint is divided into 4 major domains, starting with Implement Big Data Batch Processing Solutions (25%), Implement Big Data Interactive Processing Solutions (25%), and Administer and Provision HDInsight Clusters (25%). The full breakdown, including every subdomain and its weighting, is listed in the Exam Topics section above — review it against your own weak areas before scheduling the exam.

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 two tables. Each table is larger than 250 TB. Both tables have approximately the same number of rows and columns.
You need to match the tables based on a key column. You must minimize the size of the data table that is produced.
What should you do?

  • A. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
  • B. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text 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.instances in an Apache Spark job that stores the data in a text format.
  • E. Use an action in an Apache Oozie workflow that stores the data in a text format.
  • F. Decrease the level of parallelism 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 Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Lead2PassExam 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. Yes
  • B. No
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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. The cluster will host a low-latency NoSQL database that uses the key/value pair format in a columnar model. The cluster has the following requirements:
Supports SSH access
Supports autosharding
Uses Azure Data Lake Store as the default storage
What should you do?

  • A. 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.
  • 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 Storm as the cluster type and use Windows as the operating system.
  • D. Use the Azure portal to create a standard HDInsight cluster. Specify Apache Spark as the cluster type and use Linux as the operating system.
  • E. 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.
  • F. 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.
  • G. 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.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Lead2PassExam 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 a consumer and a broker. Create a file import process to send messages. Run the producer.
Does this meet the goal?

  • A. Yes
  • B. No
Reveal Solution  Discussion  0

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 have an initial dataset that contains the crime data from major cities.
You plan to build training models from the training dat
a. You plan to automate the process of adding more data to the training models and to constantly tune the models by using the additional data, including data that is collected in near real-time. The system will be used to analyze event data gathered from many different sources, such as Internet of Things (IoT) devices, live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and place.
You have an incoming data stream from Twitter and an incoming data stream from Facebook, which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.
The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post, or how many times a Tweet that contains a specific hashtag is retweeted.
You must use the appropriate data storage, stream analytics techniques, and Azure HDInsight cluster types for the various tasks associated to the processing pipeline.
You are planning a storage strategy for a large amount of analytic data used for the crime data analytics system. The initial data load involves over 100 billion records, and more than two billion records will be added daily.
You already created an Apache Hadoop cluster in HDInsight premium.
You need to implement the storage strategy to meet the following requirements:
The storage capacity must support 50 TB.
The storage must be optimized for Hadoop.
The data must be stored in its native format.
Enterprise-level security based on Active Directory must be supported.
What should you create?

  • A. an Azure Blob storage account by using the Azure portal
  • B. an Azure Data Lake Analytics service by using Azure PowerShell
  • C. an Azure Data Lake Store account by using the Azure portal
  • D. a virtual machine (VM) by using the Data Science Virtual Machine template for Windows that has premium storage, a G-series size, and uses Microsoft SQL Server 2016 to store the data
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Lead2PassExam members. You can sign-up / login (it's free).

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