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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 |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Related Certifications: | MCSA: Data Engineering with Azure Microsoft Azure certifications (legacy MCSA track) |
| Exam Format: | Multiple choice, Case study, Scenario-based questions |
| Recommended Training: | Azure Data Engineering learning paths Microsoft Learn Azure Big Data Path |
| Exam Registration: | Pearson VUE Microsoft Exams Microsoft Certifications Portal |
| 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 |
|---|---|
| Topic 1: Implement data processing solutions | - Batch processing with distributed computing
|
| Topic 2: Secure and monitor big data solutions | - Data security and access control - Monitoring and troubleshooting data pipelines |
| Topic 3: Develop and optimize data pipelines | - Data ingestion and transformation workflows - Performance tuning and scaling considerations |
| Topic 4: Design big data analytics solution | - Design data storage strategy using Azure data services
|
Common Questions About the Microsoft 070-475日本語 Exam
The 070-475日本語 exam, officially known as Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版), is the Microsoft test that leads to the Microsoft Certified Solutions Associate (MCSA): Data Engineering with Azure (Retired) certification at the Professional level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as MCSA: Data Engineering with Azure, Microsoft Azure certifications (legacy MCSA track).
No formal prerequisite required, but experience with Azure data services, distributed systems, and big data processing is recommended.
Entry requirements can change, so confirm the latest conditions on the official exam page: https://learn.microsoft.com/en-us/credentials/certifications/.
You can book the 070-475日本語 exam through the official registration channels below:
Exam delivery: Delivered via Pearson VUE (online proctored or test center). Seats at popular test centers fill quickly, so schedule early once your preparation is on track.
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The official Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) outline is organized into 4 domains. The first three are:
- Design big data analytics solution
- Implement data processing solutions
- Develop and optimize data pipelines
See the complete exam topics section above for the full outline and the weighting of every domain.
Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) Sample Questions:
- A. products/{batch}/product_listjson
- B. products/{time}/product_list.json
- C. products/{sensor_name}/product_list.json
- D. products/{date}/{time}/product_listjson
- A. Option E
- B. Option D
- C. Option A
- D. Option C
- E. Option B
Explanation
- A. Microsoft Azure Stream Analytics
- B. Microsoft Azure HDInsight Hadoop clusters
- C. Microsoft Azure HDInsight Spark clusters
- D. Microsoft Azure Event Hubs
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
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
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