Exam Name: Perform Data Engineering on Microsoft Azure HDInsight
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure HDInsight
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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 |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | Retired (no longer available) |
| Available Languages: | English |
| Passing Score: | 700/1000 |
| Related Certifications: | MCSA: Machine Learning |
| Exam Format: | Case study, Scenario-based questions, Multiple choice |
| Exam Price: | $165 USD |
| Exam Duration: | 120 minutes |
| Recommended Training: | Microsoft Learn - Azure HDInsight learning paths Apache Hadoop and Spark on Azure HDInsight documentation |
| Exam Registration: | Microsoft Learn Certification Exam Page |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|
| Topic 1: Design and implement batch processing solutions using HDInsight | - Implement Hadoop and Spark-based batch processing solutions
|
| Topic 2: Manage and monitor HDInsight solutions | - Cluster management and monitoring
|
| Topic 3: Ingest and prepare data | - Data ingestion pipelines
|
| Topic 4: Secure data and ensure compliance | - Security in HDInsight environments
|
| Topic 5: Design and implement stream processing solutions | - Real-time data processing on Azure HDInsight
|
Microsoft 070-775 Exam: Everything You Wanted to Ask
The 070-775 exam is the official Microsoft exam for Microsoft Perform Data Engineering on Microsoft Azure HDInsight. Passing it earns you the MCSA: Machine Learning credential, which sits at the Professional level. It is also connected to MCSA: Machine Learning, so what you learn carries over if you plan to pursue those paths as well. Employers treat the certification as verified proof of skill, which is why structured preparation with 2Pass4sure's practice questions pays off.
The 070-775 exam contains 40-60 questions, and the time limit is 120 minutes. Translate that into a pacing plan before exam day: know roughly how long you can afford per item, flag anything that stalls you, and circle back at the end instead of burning minutes. Two or three full timed sessions in 2Pass4sure's test engine will teach you that rhythm far better than untimed reading ever will.
The passing score for the 070-775 exam is 700/1000, and the official registration fee is $165 USD. Remember that a failed attempt means paying that fee again in full for a retake, so treat self-assessment as part of the budget: run 2Pass4sure's practice questions under timed conditions and only book your seat once your scores sit comfortably above the passing bar.
Basic knowledge of Azure services, Hadoop ecosystem concepts (HDFS, Hive, Spark), and data engineering fundamentals recommended. Eligibility details can change, so before you register, confirm the current requirements on the official exam page: https://learn.microsoft.com/en-us/credentials/exams/70-775/.
You can book the 070-775 exam through the official registration channels below:
Exam delivery method: Online proctored or authorized testing center (historical Microsoft certification delivery model).
Microsoft points candidates to the following official training options:
- Microsoft Learn - Azure HDInsight learning paths
- Apache Hadoop and Spark on Azure HDInsight documentation
Once the coursework has built your foundation, the fastest way to turn theory into exam readiness is drilling with 2Pass4sure's 63 practice questions for the Microsoft Perform Data Engineering on Microsoft Azure HDInsight exam.
Yes. 2Pass4sure offers a free PDF demo of the Microsoft Perform Data Engineering on Microsoft Azure HDInsight practice questions on the samples page, so you can judge the format and quality yourself before paying anything. Every purchase also includes 365 days of free updates, and after the product expires you can extend the update service at a 50% discount from within your member zone.
If you take the corresponding exam within 60 days of purchase and do not pass, 2Pass4sure backs you with a 100% money-back guarantee. To claim it, submit a scanned copy of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam, and the refund is processed within 7 days. The guarantee does not apply to attempts made within the first 3 days after purchase, to products downloaded without actually sitting the exam, or to free materials and expired orders, and the candidate name must match the payer's name. If you would rather have study material than money, you can instead exchange for two additional exam products of equal value, free of charge, while keeping the update service on your original purchase. Delivery itself is instant: your download is available right after payment and a copy reaches your mailbox within one minute — if nothing arrives within 2 hours, contact customer service. You may install the product on as many computers as you need.
The official Microsoft Perform Data Engineering on Microsoft Azure HDInsight blueprint is organized into 5 domains. The leading areas are:
- Manage and monitor HDInsight solutions
- Design and implement stream processing solutions
- Secure data and ensure compliance
For the complete domain-by-domain breakdown with every subtopic, see the Exam Topics outline above.
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 need to deploy an HDInsight cluster that will provide in-memory processing, interactive queries, and micro-batch stream processing. The cluster has the following requirements:
Uses Azure Data Lake Store as the primary storage
Can be used by HDInsight applications
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 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.
- C. 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.
- D. Use an Azure portal to create a standard HDInsight cluster. Specify Apache HBase 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 HBase as the cluster type and use Windows 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 the Azure portal to create a standard HDInsight cluster. Specify Apache Spark as the cluster type and use Linux as the operating system.
Explanation: Only visible for 2Pass4sure 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
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 NoSQL database to an HDInsight cluster. You will manage the server that host the database by using Remote Desktop. The database must use the key/value pair format in a columnar model.
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 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.
- C. 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.
- D. Use an Azure portal to create a standard HDInsight cluster. Specify Apache HBase 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 HBase as the cluster type and use Windows 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 the Azure portal to create a standard HDInsight cluster. Specify Apache Spark as the cluster type and use Linux as the operating system.
Explanation: Only visible for 2Pass4sure 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 support analysts can develop embedded analytics applications by using the least amount of development effort.
Which technology should you implement?
- A. Apache Ambari
- B. Livy
- C. Jupyter
- D. Zeppelin
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
You have an Apache Hive table that contains one billion rows.
You plan to use queries that will filter the data by using the WHERE clause. The values of the columns will be known only while the data loads into a Hive table.
You need to decrease the query runtime.
What should you configure?
- A. parallel execution
- B. dynamic partitioning
- C. static partitioning
- D. bucket sampling
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
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