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Microsoft 070-768日本語 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Developing SQL Data Models |
| Exam Number: | 70-768 |
| Exam Duration: | 120 minutes |
| Related Certifications: | MCSA: SQL Server 2016 BI Development |
| Certificate Validity Period: | Retired |
| Exam Format: | Multiple choice, Case study, Lab-based scenarios |
| Available Languages: | English |
| Recommended Training: | SQL Server Analysis Services (SSAS) learning modules Microsoft Learn - SQL Server Data Models training paths |
| Exam Registration: | Microsoft Credentials Exam Registration |
| Sample Questions: | Microsoft 070-768日本語 Sample Questions |
| Exam Way: | Online proctored or authorized testing center (historically via Pearson VUE for Microsoft certification exams) |
| Pre Condition: | No formal prerequisite, but recommended experience with SQL Server and data modeling concepts. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ |
Who should take the 70-768 exam
The Microsoft 70-768 Exam is an internationally recognized validation that identifies persons who earn it as possessing skilled in MCP and MCSA Certification. If candidates want significant improvement in career growth needs enhanced knowledge, skills, and talents. The Microsoft 70-768 Exam provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass the Microsoft 70-768 Exam then he should take this exam.
Reference: https://www.microsoft.com/en-us/learning/exam-70-768.aspx
Microsoft 070-768日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Develop and deploy SQL Server Analysis Services (SSAS) models | - Create tabular models - Create multidimensional models - Configure partitions and storage modes |
| Topic 2: Design and implement data models | - Implement tables, relationships, and constraints - Design conceptual, logical, and physical data models - Normalize and optimize data structures |
| Topic 3: Implement data integrity and performance optimization | - Indexing and query optimization - Data refresh and processing strategies |
| Topic 4: Implement DAX calculations and expressions | - Use DAX functions for filtering and time intelligence - Create calculated columns and measures |
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