Exam Name: Engineering Data with Microsoft Cloud Services
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure SQL Data Warehous
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- Total Questions: 92
- Updated on: Oct 22, 2026
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Microsoft 070-776 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Engineering Data with Microsoft Cloud Services |
| Exam Number: | 70-776 |
| Available Languages: | English |
| Exam Duration: | 120-150 |
| Exam Price: | USD 165 |
| Passing Score: | 700/1000 |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | Certification retired; exam retired June 30, 2019 |
| Related Certifications: | MCSA: Data Engineering with Azure MCSE: Data Management and Analytics |
| Exam Format: | Scenario-Based Questions, Case Study, Multiple Response, Build List, Drag and Drop, Multiple Choice |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Pearson VUE testing centers worldwide; retired June 30, 2019. |
| Pre Condition: | No mandatory prerequisite exam. Intended for data engineers, data architects, data scientists, and data developers. Common prerequisites included Azure data services, relational databases, Windows administration, and data analytics experience. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/ |
Microsoft 070-776 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design and Implement Cloud-Based Integration by Using Azure Data Factory | 15-20% | - Orchestrate data processing pipelines
|
| Design and Implement Complex Event Processing by Using Azure Stream Analytics | 15-20% | - Design and implement Azure Stream Analytics
|
| Design and Implement Analytics by Using Azure Data Lake | 25-30% | - Manage Azure Data Lake Analytics
|
| Design and Implement Azure SQL Data Warehouse Solutions | 15-20% | - Query data in Azure SQL Data Warehouse
|
| Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics | 20-25% | - Provision Azure services
|
Frequently Asked Questions: Microsoft Engineering Data with Microsoft Cloud Services Preparation
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The 070-776 exam is a Microsoft certification exam covering the Microsoft Engineering Data with Microsoft Cloud Services syllabus shown above. It forms part of these credential paths: MCSA: Data Engineering with Azure, MCSE: Data Management and Analytics. Most candidates are working people studying around jobs and families, which is why iPassleader built its 92 practice questions for fragmented schedules — PDF, Desktop Test Engine, and Online Test Engine formats included.
Pearson VUE testing centers worldwide; retired June 30, 2019. Register for the Microsoft Engineering Data with Microsoft Cloud Services exam through these official channels:
Once your date is confirmed, your iPassleader practice questions arrive by email within 1 minute, so the study clock starts immediately.
The official Microsoft Engineering Data with Microsoft Cloud Services outline divides the exam into 5 domains, the largest being Design and Implement Azure SQL Data Warehouse Solutions (15-20%), Design and Implement Analytics by Using Azure Data Lake (25-30%), and Design and Implement Cloud-Based Integration by Using Azure Data Factory (15-20%). The full list is in the topics section above, and iPassleader's 92 practice questions address every domain in it.
Registration for the Microsoft Engineering Data with Microsoft Cloud Services exam costs USD 165, and the passing score is 700/1000. Retaking means paying the fee again, so check your level with the iPassleader engines before you commit to a date.
Everything needed to start the minute your order arrives: 92 practice questions for the Microsoft Engineering Data with Microsoft Cloud Services exam in three formats — a printable, expert-prepared PDF with instant download; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. Also included: a free demo, 365 days of free updates, a 50% renewal discount afterward, unlimited installations, and remote installation guidance from professional IT staff if you need it.
Microsoft recommends these training resources for the Microsoft Engineering Data with Microsoft Cloud Services exam:
Reinforce the training with the 92 practice questions from iPassleader — short, frequent sessions fit working schedules better than marathon weekends.
No mandatory prerequisite exam. Intended for data engineers, data architects, data scientists, and data developers. Common prerequisites included Azure data services, relational databases, Windows administration, and data analytics experience. Since requirements can change, confirm the current version on the official Microsoft exam page before scheduling.
The Microsoft Engineering Data with Microsoft Cloud Services exam contains 40-60 with a limit of 120-150. That is tight pacing — rehearse it in the iPassleader Desktop Test Engine's timed mode until it feels natural.
Microsoft Engineering Data with Microsoft Cloud Services Sample Questions:
You have an on-premises deployment of Active Directory named contoso.com.
You plan to deploy a Microsoft Azure SQL data warehouse.
You need to ensure that the data warehouse can be accessed by contoso.com users.
Which two components should you deploy? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Azure AD Connect
- B. Azure AD Privileged Identity Management
- C. Azure Active Directory
- D. Cloud App Discovery
- E. Azure Active Directory B2C
- F. Azure Information Protection
Correct Answer: A,C 🗳️
You have a Microsoft Azure Data Lake Analytics service.
You plan to configure diagnostic logging.
You need to use Microsoft Operations Management Suite (OMS) to monitor the IP addresses that are used to access the Data Lake Store.
What should you do?
- A. Send the request logs to Log Analytics.
- B. Stream the audit logs to an event hub.
- C. Send the audit logs to Log Analytics.
- D. Stream the request logs to an event hub.
Correct Answer: C 🗳️
Note: This question is part of a series of questions that present 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.
Start of repeated scenario
You are migrating an existing on-premises data warehouse named LocalDW to Microsoft Azure. You will use an Azure SQL data warehouse named AzureDW for data storage and an Azure Data Factory named AzureDF for extract, transformation, and load (ETL) functions.
For each table in LocalDW, you create a table in AzureDW.
On the on-premises network, you have a Data Management Gateway.
Some source data is stored in Azure Blob storage. Some source data is stored on an on-premises Microsoft SQL Server instance. The instance has a table named Table1.
After data is processed by using AzureDF, the data must be archived and accessible forever. The archived data must meet a Service Level Agreement (SLA) for availability of 99 percent. If an Azure region fails, the archived data must be available for reading always. The storage solution for the archived data must minimize costs.
End of repeated scenario.
You need to define the schema of Table1 in AzureDF.
What should you create?
- A. a pipeline
- B. a gateway
- C. a linked service
- D. a dataset
Correct Answer: D 🗳️
Note: This question is part of a series of questions that present 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.
Start of repeated scenario
You are migrating an existing on-premises data warehouse named LocalDW to Microsoft Azure. You will use an Azure SQL data warehouse named AzureDW for data storage and an Azure Data Factory named AzureDF for extract, transformation, and load (ETL) functions.
For each table in LocalDW, you create a table in AzureDW.
On the on-premises network, you have a Data Management Gateway.
Some source data is stored in Azure Blob storage. Some source data is stored on an on-premises Microsoft SQL Server instance. The instance has a table named Table1.
After data is processed by using AzureDF, the data must be archived and accessible forever. The archived data must meet a Service Level Agreement (SLA) for availability of 99 percent. If an Azure region fails, the archived data must be available for reading always. The storage solution for the archived data must minimize costs.
End of repeated scenario.
You need to configure an activity to move data from blob storage to AzureDW.
What should you create?
- A. a pipeline
- B. an automation runbook
- C. a linked service
- D. a dataset
Correct Answer: A 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
You have a Microsoft Azure Data Lake Analytics service.
You have a tab-delimited file named UserActivity.tsv that contains logs of user sessions. The file does not have a header row.
You need to create a table and to load the logs to the table. The solution must distribute the data by a column named SessionId.
How should you complete the U-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation
References:
https://msdn.microsoft.com/en-us/library/mt706197.aspx
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