Microsoft 070-475日本語 : Design and Implement Big Data Analytics Solutions (070-475日本語版)

Exam Code: 070-475日本語
Exam Name: Design and Implement Big Data Analytics Solutions (070-475日本語版)
Updated: Sep 19, 2026 Q & A: 122 Questions and Answers

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Microsoft 070-475日本語 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Design and Implement Big Data Analytics Solutions
Exam Number:	70-475
Certificate Validity Period:	Retired
Related Certifications:	MCSA: Data Engineering with Azure Microsoft Azure certifications (legacy MCSA track)
Available Languages:	English
Exam Format:	Multiple choice, Scenario-based questions, Case study
Exam Duration:	120 minutes
Recommended Training:	Azure Data Engineering learning paths Microsoft Learn Azure Big Data Path
Exam Registration:	Microsoft Certifications Portal Pearson VUE Microsoft Exams
Sample Questions:
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/

Microsoft 070-475日本語 Exam Syllabus Topics:

Section	Objectives
Secure and monitor big data solutions	- Monitoring and troubleshooting data pipelines - Data security and access control
Develop and optimize data pipelines	- Data ingestion and transformation workflows - Performance tuning and scaling considerations
Implement data processing solutions	- Stream processing implementation 1. Azure Stream Analytics jobs 2. Azure Event Hubs ingestion - Batch processing with distributed computing 1. Hadoop / HDInsight clusters 2. Apache Spark processing
Design big data analytics solution	- Design data storage strategy using Azure data services 1. Azure Data Lake Storage concepts 2. Blob storage vs data lake considerations - Select appropriate big data architecture (batch vs streaming vs hybrid)

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Where do I register for the 070-475日本語 exam?

Through the official registration channel: Microsoft Certifications Portal Pearson VUE Microsoft Exams Create your account, pick a test center or an online-proctored appointment, and pay the fee to secure your date.

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Because it removes the usual obstacles. The material is solid — 122 practice questions for the 070-475日本語 exam with verified answers, checked daily against the live Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) outline. The engine adapts to your pace instead of forcing one. Installation is unlimited across your computers. And support answers around the clock, so a busy schedule never strands you with an unanswered question.

Is anything required before I can take 070-475日本語?

No formal prerequisite required, but experience with Azure data services, distributed systems, and big data processing is recommended.

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How should I divide my study time across 070-475日本語 topics?

Follow the official Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) weights:

Develop and optimize data pipelines ()
Secure and monitor big data solutions ()
Design big data analytics solution ()

Give the heaviest domains your longest sessions, then let your engine scores tell you where the remaining hours belong.

Should I combine 070-475日本語 self-study with an official course?

Microsoft Learn Azure Big Data Path Azure Data Engineering learning paths An official course builds theory in a structured way, while the Pass4guide engine and verified question bank provide the timed rehearsal — together they cover preparation from both directions.

Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) Sample Questions:

Question #1

A. Option D
B. Option C
C. Option A
D. Option B

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Question #2

Reveal Solution Discussion 0

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.

Question #3

A. User1 to Reader
B. User2 to Reader
C. User3 to Contributor
D. User4 to Contributor
E. User5 to Administrator

Reveal Solution Discussion 0

Correct Answer: A,B 🗳️

Question #4

Reveal Solution Discussion 0

Correct Answer:

Explanation

Box 1: Azure SQL Data Warehourse
Scenario: Relecloud plans to implement a data warehouse named DB2.
Box 2: Clustered Columnstore index
Columnstore index is a new type of index introduced in SQL Server 2012. It is a column-based non-clustered index geared toward increasing query performance for workloads that involve large amounts of data, typically found in data warehouse fact tables.
A clustered columnstore index is the physical storage for the entire table.
Scenario:
Relecloud identifies the following requirements for DB2:
DB2 must be able to store more than 40 TB of data.
References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview