Microsoft 070-762 Deutsch : Developing SQL Databases (070-762 Deutsch Version)

  • Exam Code: 070-762 Deutsch
  • Exam Name: Developing SQL Databases (070-762 Deutsch Version)
  • Updated: Sep 13, 2026   Q&As: 185 Questions and Answers

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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.

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

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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:

  • Manage database concurrency 25-30%
  • Design and implement database objects 25-30%
  • Implement programmability objects 20-25%
  • Optimize database objects and SQL infrastructure 20-25%
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Microsoft 070-762 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Manage Database Concurrency25-30%- Implement transactions
  • 1. Manage explicit and implicit transactions
  • 2. Control transaction behavior
  • 3. Support high-concurrency environments
  • 4. Implement savepoints
- Optimize concurrency and locking behavior
  • 1. Optimize locking strategies
  • 2. Reduce contention
  • 3. Troubleshoot blocking and deadlocks
- Manage isolation levels
  • 1. Configure isolation levels
  • 2. Implement snapshot isolation
  • 3. Analyze transaction isolation effects
- Implement memory-optimized tables and native stored procedures
  • 1. Optimize in-memory OLTP solutions
  • 2. Implement natively compiled stored procedures
  • 3. Create memory-optimized tables
Topic 2: Implement Programmability Objects20-25%- Ensure data integrity with constraints
  • 1. Enforce business rules with constraints
  • 2. Manage DML behavior with constraints
  • 3. Create foreign key constraints
  • 4. Create primary key constraints
- Create stored procedures
  • 1. Implement input and output parameters
  • 2. Design stored procedure logic
  • 3. Implement table-valued parameters
  • 4. Handle errors and transactions
  • 5. Implement return codes
- Create triggers and user-defined functions
  • 1. Understand deterministic and nondeterministic functions
  • 2. Create table-valued functions
  • 3. Implement logon triggers
  • 4. Create scalar functions
  • 5. Implement DDL triggers
  • 6. Implement DML triggers
Topic 3: Design and Implement Database Objects25-30%- Implement columnstore indexes
  • 1. Implement clustered columnstore indexes
  • 2. Identify columnstore use cases
  • 3. Implement nonclustered columnstore indexes
  • 4. Maintain columnstore indexes
- Design and implement a relational database schema
  • 1. Normalize database structures
  • 2. Create tables and data types
  • 3. Select efficient data types
  • 4. Design tables and schemas
- Design and implement indexes
  • 1. Recommend index improvements
  • 2. Design included columns
  • 3. Create clustered and nonclustered indexes
  • 4. Analyze query plans for indexing
- Design and implement views
  • 1. Implement partitioned views
  • 2. Implement indexed views
  • 3. Create updateable views
Topic 4: Optimize Database Objects and SQL Infrastructure20-25%- Monitor and trace SQL Server baseline performance metrics
  • 1. Capture performance baselines
  • 2. Analyze server health metrics
  • 3. Use monitoring tools
- Manage performance for database instances
  • 1. Monitor workload characteristics
  • 2. Optimize instance performance
  • 3. Configure SQL Server resources
- Optimize statistics and indexes
  • 1. Monitor index usage
  • 2. Maintain statistics
  • 3. Improve query performance
- Analyze and troubleshoot query plans
  • 1. Interpret execution plans
  • 2. Identify performance bottlenecks
  • 3. Optimize queries

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