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Preparing for the 70-475 exam requires the right resources, and Actual4Labs delivers precisely that. With 122 accurate questions, you can simulate the Microsoft Design and Implement Big Data Analytics Solutions testing environment and build confidence for 2026.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Design and Implement Big Data Analytics Solutions |
| Exam Number: | 70-475 |
| Related Certifications: | MCSA: Data Engineering with Azure Microsoft Azure certifications (legacy MCSA track) |
| Exam Format: | Scenario-based questions, Case study, Multiple choice |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | Retired |
| Available Languages: | English |
| Recommended Training: | Microsoft Learn Azure Big Data Path Azure Data Engineering learning paths |
| Exam Registration: | Microsoft Certifications Portal Pearson VUE Microsoft Exams |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Delivered via Pearson VUE (online proctored or test center) |
| Pre Condition: | No formal prerequisite required, but experience with Azure data services, distributed systems, and big data processing is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/ |
| Section | Objectives |
|---|---|
| Topic 1: Design big data analytics solution | - Design data storage strategy using Azure data services
|
| Topic 2: Implement data processing solutions | - Batch processing with distributed computing
|
| Topic 3: Secure and monitor big data solutions | - Monitoring and troubleshooting data pipelines - Data security and access control |
| Topic 4: Develop and optimize data pipelines | - Data ingestion and transformation workflows - Performance tuning and scaling considerations |
The 70-475 exam is a core requirement for the Microsoft Certified Solutions Associate (MCSA): Data Engineering with Azure (Retired) certification at the Professional level. Earning this validates your skills for credentials like MCSA: Data Engineering with Azure, Microsoft Azure certifications (legacy MCSA track).
Candidate requirements include: No formal prerequisite required, but experience with Azure data services, distributed systems, and big data processing is recommended.. Please verify all eligibility details on the official certification page before scheduling your appointment.
Registration is handled through official testing partners. The exam is delivered via Delivered via Pearson VUE (online proctored or test center). You can sign up here:
The vendor suggests following official learning paths to build a foundational understanding:
Once you complete your training, use the 122 practice questions from Actual4Labs to refine your exam readiness.
Absolutely. A free PDF demo is available for you to evaluate the quality of our questions. Once purchased, you receive 365 days of free updates. If your access expires, you can renew it at a 50% discount to keep your materials current.
Your 70-475 practice materials are delivered instantly. You can download them right away, and a copy will be sent to your email within one minute (contact support if not received in 2 hours). You can install the software on an unlimited number of computers. We also offer a 100% Money Back Guarantee: if you fail the corresponding exam within 60 days of purchase, you can claim a full refund. To apply, submit your enrollment slip and official Score Report PDF within 2 days after taking the test (processing takes up to 7 days). Note: failures within 3 days of purchase, downloaded but unattempted exams, free materials, and expired orders are excluded. The payer's name must match the candidate's name. Alternatively, you can exchange your order for two free exams of equal value and keep the original product's updates.
The syllabus is divided into 4 main domains. Key areas include "Implement data processing solutions", "Design big data analytics solution", "Secure and monitor big data solutions". For a comprehensive breakdown of all measured skills, please review the complete exam outline table provided above.
Question 1
You have a Microsoft Azure SQL data warehouse named DW1.
A department in your company creates an Azure SQL database named DB1. DB1 is a data mart.
Each night, you need to insert new rows Into 9.000 tables in DB1 from changed data in DW1. The solution must minimize costs.
What should you use to move the data from DW1 to DB1, and then to import the changed data to DB1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question 2
You need to recommend a permanent Azure Storage solution for the activity data. The solution must meet the technical requirements.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.
Select the BEST answer.
A. Azure Queue storage
B. Azure Blob storage
C. Azure Event Hubs
D. Azure SQL Database
Question 3
You have raw data in Microsoft Azure Blob storage. Each data file is 10 KB and is the XML format.
You identify the following requirements for the data:
* The data must be converted into a flat data structure by using a C# MapReduce job.
* The data must be moved to an Azure SQL database, which will then be used to visualize the data.
* Additional stored procedures must run against the data once the data is in the database.
You need to create the workflow for the Azure Data Factory pipeline.
Which activity type should you use for each requirement? To answer, drag the appropriate workflow components to the correct requirements. Each workflow component may be used once, more than once, or not at all. You may need to drag the split bar between the panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Question 4
You have a Microsoft Azure Data Factory that loads data to an analytics solution.
You receive an alert that an error occurred during the last processing of a data stream.
You debug the problem and solve an error.
You need to process the data stream that caused the error.
What should you do?
A. From Azure Cloud Shell, run the az batch job enable command.
B. From Azure Cloud Shell, run the az dla job command.
C. From PowerShell, run the Resume-AzureRmDataFactoryPipeline cmdlet.
D. From PowerShell, run the Set-AzureRmDataFactorySliceStatus cmdlet.
Question 5
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 the others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft Azure deployment that contains the following services:
* Azure Data Lake
* Azure Cosmos DB
* Azure Data Factory
* Azure SQL Database
You load several types of data to Azure Data Lake.
You need to load data from Azure SQL Database to Azure Data Lake.
Solution: You use the AzCopy utility.
Does this meet the goal?
A. Yes
B. No
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: D | Question 3 Answer: Only visible for members | Question 4 Answer: D | Question 5 Answer: B |
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