Microsoft 070-762 Deutsch Q&A - in .pdf

  • Exam Code: 070-762 Deutsch
  • Exam Name: Developing SQL Databases (070-762 Deutsch Version)
  • Updated: Aug 20, 2026
  • Q & A: 185 Questions and Answers
  • PDF Price: $69.99
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Microsoft 070-762 Deutsch Q&A - Testing Engine

  • Exam Code: 070-762 Deutsch
  • Exam Name: Developing SQL Databases (070-762 Deutsch Version)
  • Updated: Aug 20, 2026
  • Q & A: 185 Questions and Answers
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About Microsoft Developing SQL Databases (070-762 Deutsch Version) - 070-762 Deutsch Exam Actual Tests

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Microsoft Developing SQL Databases 70-762 Exam

Microsoft Developing SQL Databases 70-762 Exam which is related to MCSA SQL 2016 Database Development Certification. This exam tests candidate knowledge and skills to design and implement indexes, create Stored Procedures, manage isolation levels, optimize concurrency, locking behavior and manage performance for the database instance. Developers and Database Professionals usually hold or pursue this certification and you can expect the same job role after completion of this certification.

Reference: https://www.microsoft.com/en-us/learning/exam-70-762.aspx

70-762 Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our 70-762 exam dumps will include the following topics:

  • Design and implement database objects 25-30%
  • Manage database concurrency 25-30%
  • Implement programmability objects 20-25%
  • Optimize database objects and SQL infrastructure 20-25%

How to study the 70-762 Exam

Prep4sureGuide expert team recommends you to prepare some notes on these topics along with it don't forget to practice Microsoft MS-900 Exam exam dumps which been written by our expert team, Both these will help you a lot to clear this exam with good marks.

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070-762 Deutsch exam dumps

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Microsoft 070-762 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Optimize database objects and SQL infrastructure20-25%- Monitor and troubleshoot performance
  • 1. Detect and resolve bottlenecks
    • 2. Dynamic management views
      - Optimize queries and execution plans
      • 1. Analyze execution plans
        • 2. Query tuning and hints
          - Manage indexes and statistics
          • 1. Rebuild/reorganize indexes
            • 2. Update and maintain statistics
              Topic 2: Manage database concurrency25-30%- Implement memory-optimized tables
              • 1. Natively compiled stored procedures
                • 2. Durability options
                  - Transactions and isolation levels
                  • 1. Row versioning and snapshot isolation
                    • 2. ACID properties
                      - Manage locks and blocking
                      • 1. Minimize contention
                        • 2. Lock escalation and deadlocks
                          Topic 3: Implement programmability objects20-25%- Implement stored procedures and functions
                          • 1. Execution plans and reusability
                            • 2. Input/output parameters
                              • 3. Scalar and table-valued functions
                                - Implement views
                                • 1. Indexed and partitioned views
                                  • 2. Updateable views
                                    - Implement triggers
                                    • 1. DML and DDL triggers
                                      • 2. Nested and recursive triggers
                                        Topic 4: Design and implement database objects25-30%- Ensure data integrity
                                        • 1. Constraints, triggers, and transactions
                                          • 2. Error handling
                                            - Design and implement indexes
                                            • 1. Columnstore indexes
                                              • 2. Clustered and nonclustered indexes
                                                • 3. Index maintenance and statistics
                                                  - Design and implement tables
                                                  • 1. Partitioning and compression
                                                    • 2. Normalization and table structure
                                                      • 3. Data types and constraints

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