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Every Microsoft exam has its own rhythm, and the 070-776 exam rewards candidates who have rehearsed that rhythm. Work the 92 practice questions from Exams4sures and the Microsoft Engineering Data with Microsoft Cloud Services stops feeling like a gamble.
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 |
| Exam Duration: | 120-150 |
| Exam Format: | Multiple Response, Case Study, Multiple Choice, Scenario-Based Questions, Drag and Drop, Build List |
| Real Exam Qty: | 40-60 |
| Available Languages: | English |
| Certificate Validity Period: | Certification retired; exam retired June 30, 2019 |
| Exam Price: | USD 165 |
| 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: Design and Implement Cloud-Based Integration by Using Azure Data Factory | 15-20% | - Move, transform, and analyze data
|
| Topic 2: Design and Implement Analytics by Using Azure Data Lake | 25-30% | - Ingest data into Azure Data Lake Store
|
| Topic 3: Design and Implement Azure SQL Data Warehouse Solutions | 15-20% | - Design tables in Azure SQL Data Warehouse
|
| Topic 4: Design and Implement Complex Event Processing by Using Azure Stream Analytics | 15-20% | - Query real-time data
|
| Topic 5: Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics | 20-25% | - Implement authentication, authorization, and auditing
|
The 070-776 Exam, Explained: Your Top Questions
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The 070-776 exam gives you 120-150 to work through 40-60 questions. That pace punishes perfectionism — the candidates who struggle are usually the ones who burned ten minutes on one stubborn item. Train the skill directly: take timed, full-length mocks in the Exams4sures desktop or online test engine, practice skipping and returning, and walk in with a pacing strategy you have already tested.
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.
Vendor requirements do change, so before you commit to an exam date, confirm the latest eligibility rules on the official Microsoft exam page.
The Microsoft Engineering Data with Microsoft Cloud Services syllabus is split into 5 domains, anchored by Design and Implement Cloud-Based Integration by Using Azure Data Factory (15-20%), Design and Implement Azure SQL Data Warehouse Solutions (15-20%), and Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics (20-25%). The full breakdown sits in the syllabus section above — treat it as the checklist that decides where your study hours go.
The passing mark for the 070-776 exam is 700/1000, and the official registration fee is USD 165. Remember that the fee covers a single attempt — fail, and the retake costs the same again with no loyalty discount. Protect the budget by self-testing first: drill 92 practice questions at Exams4sures under timed conditions until your scores clear the bar with margin, then register.
The 070-776 exam, officially the Engineering Data with Microsoft Cloud Services, is Microsoft's benchmark for proving you can work with its technologies in professional settings; passing it awards the Microsoft Azure SQL Data Warehous certification, which sits at the Professional level. Because the credential is issued by the vendor itself, it carries weight with employers that self-assessed skills simply cannot match. It also opens the road toward MCSA: Data Engineering with Azure, MCSE: Data Management and Analytics.
Yes — Exams4sures publishes a free PDF demo of the 070-776 materials so you can check the question quality and verified answers before paying anything. Once you purchase, 365 days of free updates come standard, and if your product expires you can renew the update service at a 50% discount from your member zone.
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.
End of repeated scenario.
You need to connect AzureDF to the storage account.
What should you create?
- A. a dataset
- B. a pipeline
- C. a linked service
- D. a gateway
Correct Answer: C 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
You need to create a dataset in Microsoft Azure Data Factory that meets the following requirements:
How should you complete the JSON code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation
References:
https://github.com/aelij/azure-content/blob/master/articles/data-factory/data-factory-create-pipelines.md
You have a fact table named PowerUsage that has 10 billion rows. PowerUsage contains data about customer power usage during the last 12 months. The usage data is collected every minute. PowerUsage contains the columns configured as shown in the following table.
LocationNumber has a default value of 1. The MinuteOfMonth column contains the relative minute within each month. The value resets at the beginning of each month.
A sample of the fact table data is shown in the following table.
There is a related table named Customer that joins to the PowerUsage table on the CustomerId column. Sixty percent of the rows in PowerUsage are associated to less than 10 percent of the rows in Customer. Most queries do not require the use of the Customer table. Many queries select on a specific month.
You need to minimize how long it takes to find the records for a specific month.
What should you do?
- A. Implement partitioning by using the MinuteOfMonth column. Implement hash distribution by using the MeasurementId column.
- B. Implement partitioning by using the CustomerId column. Implement hash distribution by using the MonthKey column.
- C. Implement partitioning by using the MonthKey column. Implement hash distribution by using the MeasurementId column.
- D. Implement partitioning by using the MonthKey column. Implement hash distribution by using the CustomerId column.
Correct Answer: C 🗳️
You plan to use Microsoft Azure Data factory to copy data daily from an Azure SQL data warehouse to an Azure Data Lake Store.
You need to define a linked service for the Data Lake Store. The solution must prevent the access token from expiring.
Which type of authentication should you use?
- A. service principal
- B. Basic
- C. service-to-service
- D. OAuth
Correct Answer: A 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
You ingest data into a Microsoft Azure event hub.
You need to export the data from the event hub to Azure Storage and to prepare the data for batch processing tasks in Azure Data Lake Analytics.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Run the CSV extractor from a U-SQL script.
- B. Create an Azure Storage account.
- C. Add a shared access policy.
- D. Enable Event Hubs Archive.
- E. Run the Avro extractor from a U-SQL script.
Correct Answer: B,D 🗳️
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