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Knowing the content and passing the exam are two different skills. The Microsoft Design and Implement Big Data Analytics Solutions (70-475日本語版) engines from Actual4Labs simulate the real 70-475日本語 testing environment under a timer, and by your third mock run through the 122 questions, the format will feel routine. Start your 2026 prep the way the exam actually works.
| Section | Objectives |
|---|---|
| Topic 1: Implement data processing solutions | - Batch processing with distributed computing
|
| Topic 2: Develop and optimize data pipelines | - Performance tuning and scaling considerations - Data ingestion and transformation workflows |
| Topic 3: Secure and monitor big data solutions | - Data security and access control - Monitoring and troubleshooting data pipelines |
| Topic 4: Design big data analytics solution | - Design data storage strategy using Azure data services
|
The official Microsoft Design and Implement Big Data Analytics Solutions (70-475日本語版) blueprint is split into 4 domains, starting with Develop and optimize data pipelines, Secure and monitor big data solutions, Design big data analytics solution. The percentages tell you where the exam concentrates its questions, so budget your study time accordingly — the complete outline above lists every domain and subtopic.
The Microsoft Design and Implement Big Data Analytics Solutions (70-475日本語版) is Microsoft's official exam for the Microsoft Certified Solutions Associate (MCSA): Data Engineering with Azure (Retired) certification, positioned at the Professional level. It is the credential hiring managers scan for, and passing it proves your skills meet the vendor's own standard. It also links to related certifications like MCSA: Data Engineering with Azure, Microsoft Azure certifications (legacy MCSA track), so this exam can serve as a building block in a longer certification plan.
Registration goes through the vendor's official channels:
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No formal prerequisite required, but experience with Azure data services, distributed systems, and big data processing is recommended. Vendor requirements do change from time to time, so confirm the current criteria before scheduling — the official 70-475日本語 exam page has the final word.
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Yes — the vendor's recommended courses are listed here:
Courses teach the theory, but they cannot tell you whether you are ready. After finishing any of them, benchmark yourself with the 70-475日本語 practice questions from Actual4Labs and find the gaps before the exam does.
Correct Answer:
Explanation
From Scenario: Relecloud plans to implement a data warehouse named DB2.
Box 1: Temporal table
From Scenario:
Relecloud identifies the following requirements for DB2:
Users must be able to view previous versions of the data in DB2 by using aggregates.
DB2 must be able to store more than 40 TB of data.
A system-versioned temporal table is a new type of user table in SQL Server 2017, designed to keep a full history of data changes and allow easy point in time analysis. A temporal table also contains a reference to another table with a mirrored schema. The system uses this table to automatically store the previous version of the row each time a row in the temporal table gets updated or deleted. This additional table is referred to as the history table, while the main table that stores current (actual) row versions is referred to as the current table or simply as the temporal table.
Correct Answer:
Explanation
Group A: Tumbling
Tumbling Windows define a repeating, non-overlapping window of time.
Group B: Hopping
Like Tumbling Windows, Hopping Windows move forward in time by a fixed period but they can overlap with one another.
Correct Answer:
Explanation
Azure Data Factory can be used to orchestrate the execution of stored procedures. This allows more complex pipelines to be created and extends Azure Data Factory's ability to leverage the computational power of SQL Data Warehouse.
From scenario:
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.
DB1 is hosted on a Microsoft Azure virtual machine.
Relecloud identifies the following requirements for DB1:
* Data generated by the streaming analytics platform must be stored in DB1.
* The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
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