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

Exam Code: 070-762-Deutsch
Exam Name: Developing SQL Databases (070-762 Deutsch Version)
Updated: Jul 22, 2026
Q & A: 185 Questions and Answers

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Microsoft Developing SQL Databases Exam Certification Details:

Duration	120 mins
Number of Questions	40-60
Books / Training	20762: Developing SQL Databases (four days)
Exam Name	Microsoft Certified Solutions Associate (MCSA) - SQL 2016 Database Development
Exam Code	70-762
Sample Questions	Microsoft Developing SQL Databases Sample Questions
Schedule Exam	Pearson VUE
Passing Score	700 / 1000
Exam Price	$165 (USD)

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Microsoft 70-762 Exam Syllabus Topics:

Topic	Details	Weights
Optimize database objects and SQL infrastructure	Optimize statistics and indexes -Determine the accuracy of statistics and the associated impact to query plans and performance, design statistics maintenance tasks, use dynamic management objects to review current index usage and identify missing indexes, consolidate overlapping indexes Analyze and troubleshoot query plans -Capture query plans using extended events and traces, identify poorly performing query plan operators, create efficient query plans using Query Store, compare estimated and actual query plans and related metadata, configure Azure SQL Database Performance Insight Manage performance for database instances -Manage database workload in SQL Server; design and implement Elastic Scale for Azure SQL Database; select an appropriate service tier or edition; optimize database file and tempdb configuration; optimize memory configuration; monitor and diagnose scheduling and wait statistics using dynamic management objects; troubleshoot and analyze storage, IO, and cache issues; monitor Azure SQL Database query plans Monitor and trace SQL Server baseline performance metrics -Monitor operating system and SQL Server performance metrics; compare baseline metrics to observed metrics while troubleshooting performance issues; identify differences between performance monitoring and logging tools, such as perfmon and dynamic management objects; monitor Azure SQL Database performance; determine best practice use cases for extended events; distinguish between Extended Events targets; compare the impact of Extended Events and SQL Trace; define differences between Extended Events Packages, Targets, Actions, and Sessions	20-25%
Design and implement database objects	Design and implement a relational database schema -Design tables and schemas based on business requirements, improve the design of tables by using normalization, write table create statements, determine the most efficient data types to use Design and implement indexes -Design new indexes based on provided tables, queries, or plans; distinguish between indexed columns and included columns; implement clustered index columns by using best practices; recommend new indexes based on query plans Design and implement views -Design a view structure to select data based on user or business requirements, identify the steps necessary to design an updateable view, implement partitioned views, implement indexed views Implement columnstore indexes -Determine use cases that support the use of columnstore indexes, identify proper usage of clustered and non-clustered columnstore indexes, design standard non-clustered indexes in conjunction with clustered columnstore indexes, implement columnstore index maintenance	25-30%
Implement programmability objects	Ensure data integrity with constraints -Define table and foreign key constraints to enforce business rules, write Transact-SQL statements to add constraints to tables, identify results of Data Manipulation Language (DML) statements given existing tables and constraints, identify proper usage of PRIMARY KEY constraints Create stored procedures -Design stored procedure components and structure based on business requirements, implement input and output parameters, implement table-valued parameters, implement return codes, streamline existing stored procedure logic, implement error handling and transaction control logic within stored procedures Create triggers and user-defined functions -Design trigger logic based on business requirements; determine when to use Data Manipulation Language (DML) triggers, Data Definition Language (DDL) triggers, or logon triggers; recognize results based on execution of AFTER or INSTEAD OF triggers; design scalar-valued and table-valued user-defined functions based on business requirements; identify differences between deterministic and non-deterministic functions	20-25%
Manage database concurrency	Implement transactions -Identify DML statement results based on transaction behavior, recognize differences between and identify usage of explicit and implicit transactions, implement savepoints within transactions, determine the role of transactions in high-concurrency databases Manage isolation levels -Identify differences between Read Uncommitted, Read Committed, Repeatable Read, Serializable, and Snapshot isolation levels; define results of concurrent queries based on isolation level; identify the resource and performance impact of given isolation levels Optimize concurrency and locking behavior -Troubleshoot locking issues, identify lock escalation behaviors, capture and analyze deadlock graphs, identify ways to remediate deadlocks Implement memory-optimized tables and native stored procedures -Define use cases for memory-optimized tables versus traditional disk-based tables, optimize performance of in-memory tables by changing durability settings, determine best case usage scenarios for natively compiled stored procedures, enable collection of execution statistics for natively compiled stored procedures	25-30%

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

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Microsoft 070-762 Deutsch Exam Syllabus Topics:

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

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