Microsoft : 070-776 Questions & Answers
Last Updated: Oct 07, 2026
No. of Questions: 92 Questions & Answers with Testing Engine
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More and more people sit the Microsoft 070-776 exam every year — and for good reason: the certificate it awards is a recognized benchmark of IT skill. ActualTorrent prepares you for the Microsoft Engineering Data with Microsoft Cloud Services exam with 92 practice questions for the 070-776 exam, written by experienced IT experts.
Microsoft 070-776 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Engineering Data with Microsoft Cloud Services |
| Exam Number: | 70-776 |
| Related Certifications: | MCSE: Data Management and Analytics MCSA: Data Engineering with Azure |
| Certificate Validity Period: | Certification retired; exam retired June 30, 2019 |
| Exam Duration: | 120-150 |
| Exam Price: | USD 165 |
| Available Languages: | English |
| Exam Format: | Case Study, Multiple Response, Build List, Scenario-Based Questions, Multiple Choice, Drag and Drop |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700/1000 |
| 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 |
|---|---|---|
| Topic 1: Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics | 20-25% | - Provision Azure services
|
| Topic 2: Design and Implement Cloud-Based Integration by Using Azure Data Factory | 15-20% | - Implement datasets and linked services
|
| Topic 3: Design and Implement Azure SQL Data Warehouse Solutions | 15-20% | - Query data in Azure SQL Data Warehouse
|
| Topic 4: Design and Implement Analytics by Using Azure Data Lake | 25-30% | - Manage Azure Data Lake Analytics
|
| Topic 5: Design and Implement Complex Event Processing by Using Azure Stream Analytics | 15-20% | - Implement and manage streaming pipelines
|
Candid Answers About the Microsoft Engineering Data with Microsoft Cloud Services Exam
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. These requirements belong to Microsoft and may be revised, so check the current rules on the official exam page: https://learn.microsoft.com/en-us/credentials/ before committing to a Microsoft Engineering Data with Microsoft Cloud Services registration.
The Microsoft Engineering Data with Microsoft Cloud Services exam contains 40-60 questions within 120-150. Knowing the content matters, but the clock decides who finishes — practice committing and moving on. Full-length timed sessions in the ActualTorrent test engine are the most direct way to rehearse that discipline before the real 070-776 exam.
Microsoft spreads the Microsoft Engineering Data with Microsoft Cloud Services syllabus over 5 areas, with Design and Implement Azure SQL Data Warehouse Solutions (15-20%), Design and Implement Complex Event Processing by Using Azure Stream Analytics (15-20%), Design and Implement Analytics by Using Azure Data Lake (25-30%) carrying the most weight. Study proportionally to those shares — the complete outline is in the section above this page.
Yes — ActualTorrent offers a free demo with real Microsoft Engineering Data with Microsoft Cloud Services sample questions and answers. Download it first; purchase the full product only when you are satisfied with what you see. After buying, 365 days of free updates are included — once that year ends, renew the update service at a 50% discount from your member zone.
The 070-776 exam is Microsoft's official certification test — pass it and the Microsoft Azure SQL Data Warehous certificate is yours, a credential at the Professional level. It exists to measure practical IT skills objectively, which is why hiring managers treat it as a reliable benchmark — and why candidate numbers keep rising. It also relates to MCSA: Data Engineering with Azure, MCSE: Data Management and Analytics, so the value compounds as you progress.
One Microsoft Engineering Data with Microsoft Cloud Services attempt costs USD 165, with 700/1000 required to pass. Retakes charge the full fee again, so passing on your own terms means walking in overprepared. Use ActualTorrent practice questions until timed mock scores clear 700/1000 comfortably, then book the 070-776 exam.
Two steps complete your order, and your 070-776 product is emailed to your mailbox within one minute of payment — download the attachment and start studying. If nothing arrives within 2 hours, check spam and contact support for an immediate resend. On failure: the refund policy applies when you sat the corresponding 070-776 exam within 60 days of purchase. Submit a scanned enrollment slip and the official Score Report PDF within 2 days after the exam, and the refund is processed within 7 days. Excluded are attempts within 3 days of purchase, exams never actually taken, free materials, and expired orders — and the candidate name must match the payer name. Prefer to continue preparing? Exchange your product for two free exam products of equal value, keeping the update service on your original purchase.
Microsoft Engineering Data with Microsoft Cloud Services Sample Questions:
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.
Which three actions should you perform in sequence to migrate the on-premises data warehouse to Azure SQL Data Warehouse? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Correct Answer:
Explanation
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-sql-server-with-polyba
You have a Microsoft Azure Data Lake Analytics service.
You need to provide a user with the ability to monitor Data Lake Analytics jobs. The solution must minimize the number of permissions assigned to the user.
Which role should you assign to the user?
- A. Owner
- B. Data Lake Analytics Developer
- C. Reader
- D. Contributor
Correct Answer: C 🗳️
Explanation: Only visible for ActualTorrent members. You can sign-up / login (it's free).
You have a Microsoft Azure Data Lake Analytics service and an Azure Data Lake Store.
You need to use Python to submit a U-SQL job.
Which Python module should you install?
- A. azure-datalake-store
- B. azure-mgmt-resource
- C. azure-mgmt- datalake-analytics
- D. azure-mgmt-datalake-store
Correct Answer: C 🗳️
Explanation: Only visible for ActualTorrent members. You can sign-up / login (it's free).
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.
End of repeated scenario.
You need to configure Azure Data Factory to connect to the on-premises SQL Server instance.
What should you do first?
- A. Deploy an Azure virtual network gateway.
- B. Create a dataset in Azure Data Factory.
- C. From Azure Data Factory, define a data gateway.
- D. Deploy an Azure local network gateway.
Correct Answer: C 🗳️
Explanation: Only visible for ActualTorrent members. You can sign-up / login (it's free).
You are using a Microsoft Azure Stream Analytics query language.
You are outputting data from an input click stream.
You need to ensure that when you consecutively receive two rows from the same IP address within one minute, only the first row is outputted.
Which functions should you use in the WHERE statement?
- A. Last and SlidingWindow
- B. LAG and HoppingWindow
- C. Last and HoppingWindow
- D. LAG and Duration
Correct Answer: A 🗳️
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