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Last Updated: Oct 06, 2026
No. of Questions: 122 Questions & Answers with Testing Engine
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Reading answers and performing under a timer are different skills. The Pass4training online engine for the Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) exam picks out your weak spots and makes you drill them until they stick — a smarter way to master the 122 practice questions for the 070-475日本語 exam.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing Big Data Analytics Solutions |
| Exam Number: | 70-475 |
| Exam Duration: | 120-150 |
| Related Certifications: | MCSE: Data Management and Analytics MCSE: Cloud Platform and Infrastructure |
| Real Exam Qty: | 40-60 |
| Exam Format: | Performance-based, Drag and drop, Multiple choice, Case studies |
| Certificate Validity Period: | Retired as of January 31, 2021; no longer valid for new certification |
| Exam Price: | $165 USD |
| Available Languages: | Chinese (Simplified), Japanese, English |
| Passing Score: | 700 out of 1000 |
| Recommended Training: | Microsoft Learning Paths Microsoft Official Course 20775: Performing Big Data Engineering on Microsoft Azure |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers (before retirement) |
| Pre Condition: | No mandatory prerequisites; recommended experience with Azure services, big data architectures, and data processing |
| Official Syllabus URL: | https://www.microsoft.com/en-us/learning/exam-70-475.aspx |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Machine Learning Solutions | 25-30% | - Determine pre-processing and training locations - Select input/output data types - Apply custom processing with R and Python - Publish machine learning web services - Create and manage experiments |
| Topic 2: Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Ingest data for batch and interactive processing - Design for batch processing - Design interactive queries for big data - Design for data security - Design and provision compute clusters |
| Topic 3: Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Monitor and manage data pipelines - Orchestrate data processing workflows - Create and configure Azure Data Factory - Design deployment strategies - Move, transform, and analyze data |
| Topic 4: Design Big Data Real-Time Processing Solutions | 25-30% | - Design for Lambda architecture - Ingest data for real-time processing - Design and provision compute resources - Design for real-time processing |
The Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) exam spans 4 domains, and they are not weighted equally. The top areas are Operationalize End-to-End Cloud Analytics Solutions — 25-30%, Design Big Data Real-Time Processing Solutions — 25-30%, Design Machine Learning Solutions — 25-30%. Budget your study hours to match those weights; the full domain list is in the outline section further up this page.
Yes. Microsoft officially recommends these training options for the Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) exam:
Training builds the foundation — then measure it with the 122 practice questions for the 070-475日本語 exam from Pass4training to see how you perform when the clock is running.
The 070-475日本語 exam is Microsoft's official certification test, and passing it earns the Microsoft Specialist: Designing and Implementing Big Data Analytics Solutions; MCSE: Data Management and Analytics credential at the Specialist / Professional level. In career terms, it is verified proof of skill — the kind that moves you up the shortlist when your company works with Microsoft technologies, or when you apply to one that does. The same track also includes MCSE: Cloud Platform and Infrastructure, MCSE: Data Management and Analytics, so this exam can anchor a longer certification plan.
You pass the Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) exam at 700 out of 1000, and each attempt costs $165 USD — fail, and that fee is due again in full for the retake. Treat mock exams as insurance: keep practicing with Pass4training until your scores sit comfortably above 700 out of 1000 twice in a row, then schedule the real 070-475日本語 exam.
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The Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) exam packs 40-60 questions into 120-150. That ratio leaves almost no room for stalling, so time management is a trained skill, not luck. Our suggestion: rehearse full-length timed sessions in the Pass4training engine, learn to park a question and return later, and walk into the 070-475日本語 exam with a pacing plan already rehearsed.
No mandatory prerequisites; recommended experience with Azure services, big data architectures, and data processing Since Microsoft revises these rules from time to time, confirm the current prerequisites on the official exam page (https://www.microsoft.com/en-us/learning/exam-70-475.aspx) before booking your Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) exam.
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Use Microsoft's official registration channels:
The exam is offered as Online proctored or onsite at Pearson VUE test centers (before retirement) — choose the format that fits your situation when you schedule.



Correct Answer: B,E 🗳️


Correct Answer:

Explanation
Step 1: Configure a Microsoft Data Management Gateway
Install and configure Azure Data Factory Integration Runtime.
The Integration Runtime is a customer managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments. This runtime was formerly called
"Data Management Gateway".
Step 2: Create a linked service for Azure Blob storage
Create an Azure Storage linked service (destination/sink). You link your Azure storage account to the data factory.
Step 3: Create a linked service for SQL Server
Create and encrypt a SQL Server linked service (source)
In this step, you link your on-premises SQL Server instance to the data factory.
Step 4: Create an input dataset and an output dataset.
Create a dataset for the source SQL Server database. In this step, you create input and output datasets. They represent input and output data for the copy operation, which copies data from the on-premises SQL Server database to Azure Blob storage.
Step 5: Create a pipeline..
You create a pipeline with a copy activity. The copy activity uses SqlServerDataset as the input dataset and AzureBlobDataset as the output dataset. The source type is set to SqlSource and the sink type is set to BlobSink.
References: https://docs.microsoft.com/en-us/azure/data-factory/tutorial-hybrid-copy-powershell

Correct Answer: A 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

Correct Answer: C,D,F 🗳️
Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

Correct Answer: B,C,E 🗳️
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