Exam Ref 70-762 Developing SQL Databases

Exam Ref 70-762 Developing SQL Databases

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Prepare for Microsoft Exam 70-762, Developing SQL Databases -and help demonstrate your real-world mastery of skills for building and implementing databases across organizations. Designed for database professionals who build and implement databases across organizations and who ensure high levels of data availability, Exam Ref focuses on the critical-thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: * Design and implement database objects * Implement programmability objects * Manage database concurrency * Optimize database objects and SQL infrastructure This Microsoft Exam Ref: * Organizes its coverage by exam objectives * Features strategic, what-if scenarios to challenge you * Assumes you have working knowledge of Microsoft Windows, Transact-SQL, and relational databases About the Exam Exam 70-762 focuses on skills and knowledge for building and implementing databases across organizations and ensuring high levels of data availability. About Microsoft Certification Passing this exam earns you credit toward a Microsoft Certified Solutions Associate (MCSA) certification that demonstrates your mastery of modern database development. Exam 70-761 (Querying Data with Transact-SQL) is also required for MCSA: SQL 2016 Database Development. See full details at: microsoft.com/learningshow more

Product details

  • Paperback | 400 pages
  • 189 x 231 x 20mm | 662g
  • Microsoft Press,U.S.
  • Boston, United States
  • English
  • 1509304916
  • 9781509304912
  • 173,168

About Louis Davidson

Louis Davidson, Microsoft MVP (Data Platform), Senior Data Architect for CBN. Over 20 years of experience with SQL Server as an architect, developer, and writer. He tweets as @drsql. Stacia Varga, Microsoft MVP (Data Platform) is a consultant, educator, mentor, and author specializing in data solutions since 1999. She provides consulting and custom education services through her company, Data Inspirations, and writes about her experiences with data at blog.datainspirations.com, and tweets as @_StaciaV_.show more

Table of contents

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 Sessionsshow more

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