Exam ref 70-762 developing SQL databases

Chapter 1 Design and implement database objects  Skill 1.1: Design and implement a relational database schema Designing tables and schemas based on business requirements  Improving the design of tables by using normalization  Writing table create statements  Determining the most efficient data types to use  Skill 1.2: 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  Skill 1.3: 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  Skill 1.4: 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    Chapter 2 Implement programmability objects  Skill 2.1 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  Skill 2.2 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  Skill 2.3 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    Chapter 3 Manage database concurrency  Skill 3.1: 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  Skill 3.2: Manage isolation levels  Identify differences between isolation levels  Define results of concurrent queries based on isolation level  Identify the resource and performance impact of given isolation levels  Skill 3.3: Optimize concurrency and locking behavior Troubleshoot locking issues  Identify lock escalation behaviors  Capture and analyze deadlock graphs  Identify ways to remediate deadlocks   Skill 3.4: Implement memory-optimized tables and native stored procedures Define use cases for memory-optimized tables 242 Optimize performance of in-memory tables  Determine best case usage scenarios for natively compiled stored procedures  Enable collection of execution statistics for natively compiled stored procedures    Chapter 4 Optimize database objects and SQL infrastructure  Skill 4.1: 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  Skill 4.2: Analyze and troubleshoot query plans Capture query plans using extended events and traces  Identify poorly performing query plan operators  Compare estimated and actual query plans and related metadata  Configure Azure SQL Database Performance Insight  Skill 4.3: 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 schedule and wait statistics using dynamic management objects  Troubleshoot and analyze storage, IO, and cache issues  Monitor Azure SQL Database query plans  Skill 4.4: 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  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