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070-768 exam is an important Microsoft Certification which can test your professional skills. Candidates want to pass the exam successfully to prove their competence. Fast2test Microsoft technical experts have collected and certified 70 questions and answers of MCSA - Developing SQL Data Models which are designed to cover the knowledge points of the Planning and Designing Microsoft Superdome Server Solutions and enhance candidates' abilities. With Fast2test 070-768 preparation tests you can pass the MCSA - Developing SQL Data Models easily, get the Microsoft certification and go further on Microsoft career path.
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Microsoft Developing SQL Data Models Exam Certification Details:
| Duration | 120 mins |
| Sample Questions | Microsoft Developing SQL Data Models Sample Questions |
| Schedule Exam | Pearson VUE |
| Books / Training | 20768: Developing SQL Data Models (three days) |
| Passing Score | 700 / 1000 |
| Exam Code | 70-768 |
| Exam Name | Microsoft Certified Solutions Associate (MCSA) - SQL 2016 BI Development |
| Number of Questions | 40-60 |
| Exam Price | $165 (USD) |
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Our Developing SQL Data Models Preparation Material provides you everything you will need to take a Microsoft MCSA 070-768 examination. Details are researched and produced by Microsoft Certification Experts who are constantly using industry experience to produce precise, and logical.
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Reference: https://www.microsoft.com/en-us/learning/exam-70-768.aspx
Microsoft 070-768 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Develop and deploy SQL Server Analysis Services (SSAS) models | - Create multidimensional models - Create tabular models - Configure partitions and storage modes |
| Topic 2: Implement DAX calculations and expressions | - Create calculated columns and measures - Use DAX functions for filtering and time intelligence |
| Topic 3: Design and implement data models | - Design conceptual, logical, and physical data models - Implement tables, relationships, and constraints - Normalize and optimize data structures |
| Topic 4: Implement data integrity and performance optimization | - Data refresh and processing strategies - Indexing and query optimization |
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