SQL Server 70-762: Developing SQL Databases: Required Knowledge for SQL Server 2012 and 2014

Video description

More than 19 hours of video instruction to help you learn and master the skills necessary to pass Exam 70-762: Developing SQL Databases, required for the Microsoft Certified Solutions Associate (MCSA): SQL 2016 Database Development certification.


Through detailed presentations and hand-on demos, this complete video course guides you through all the concepts and skills you’ll need to manage data effectively with SQL Server 2016 and prepare for Microsoft Exam 70-762 toward your MCSA certification. SQL Server expert and Microsoft Certified Trainer Marilyn White presents nearly 20 hours of video lessons fully aligned with Microsoft’s official exam topics, including 69 video lab walk-through demos with downloadable .sql files based on the WideWorldImporters and AdventureWorks2016CTP3 Databases‚ÄìMicrosoft’s sample databases for SQL Server 2016 for extensive realistic practice.

Topics include

  • Design and Implement a Relational Database Schema
  • Design and Implement Indexes
  • Design and Implement Views
  • Implement Columnstore Indexes
  • Ensure Data Integrity with Constraints
  • Create Stored Procedures
  • Create Triggers and User-Defined Functions
  • Implement Transactions
  • Manage Isolation Levels
  • Optimize Concurrency and Locking Behavior
  • Implement Memory-Optimized Tables and Native Stored Procedures
  • Optimize Statistics and Indexes
  • Analyze and Troubleshoot Query Plans
  • Manage Performance for Database Instances
  • Monitor and Trace SQL Server Baseline Performance Metrics

About the Instructor

Marilyn White has more than 20 years of experience in Information Technology and has worked with Microsoft Server products as a Microsoft Certified Trainer (MCT) for more than 18 years, spending most of that time specializing in SQL Server and SharePoint products. Besides working in the industry she holds Microsoft certifications in server and database development and administration. She is the owner of White & White Consulting, a New Jersey-based consultancy specializing in systems training and solutions. With a master's degree in education and a passion for learning, Marilyn began teaching computer science in New Jersey's schools and colleges. While teaching, she decided to branch out to both the government and private sectors, specializing in designing database, programming, and systems solutions to support the growing needs of her customers.

She has been training and implementing Microsoft technologies for customers throughout North America. An early achiever on both the Windows, SQL Server, and SharePoint platforms, she is often called upon to speak on Microsoft solutions. She has presented at Microsoft launch events for SQL Server 2005 and Visual Studio 2005. From 2006 through 2012 she was a Technical Learning Guide at TechEd North America (NA).

In addition to authoring MCSA Querying Data with Transact-SQL (Exam 70-761) LiveLessons, Marilyn has authored three Microsoft certification study guides on SQL Server and SharePoint.

When not in the field–or on the road, or in the air–she is creating courseware solutions. When home, she enjoys attending concerts and plays, reading, listening to classical music, and the company of her husband and cats, Holly and Sequel.

Skill Level
All levels

Learn How To

  • Design and improve tables and schemas based on business requirements
  • Determine the most efficient data types to use and how to secure them
  • Design, implement, and improve indexes using best practices
  • Design and implement view structures and configure partitioned and indexed views
  • Design and implement clustered and nonclustered columnstore indexes
  • Create and manage table and foreign key constraints, learn how they interact with Transact-SQL and DML statements, and create and manage PRIMARY KEY constraints
  • Create, implement, and manage stored procedures
  • Create, implement, and manage DML, DDL, Logon, AFTER, and INSTEAD OF triggers
  • Create and implement scalar-valued and table-valued user-defined functions as well as deterministic and nondeterministic functions
  • Manage database concurrency by understanding and implementing transactions, isolation levels, locking behavior, memory-optimized tables, and native stored procedures
  • Increase SQL Server database performance through optimized statistics and indexes
  • Troubleshoot query plans using extended events and traces, SQL Server Profiler, Query Store, and Azure SQL Database Performance Insight
  • Monitor and optimize database performance through a variety of best practices and available tools

Who Should Take This Course
For all working and aspiring database professionals in Microsoft SQL Server environments, especially those pursuing the Microsoft Certified Solutions Associate (MCSA): SQL Server 2016 Database Development certification.

Course Requirements
Requires a basic working knowledge of databases.

Lesson Descriptions
In Lesson 1, you learn how to design tables and schemas based on business requirements. We use normalization to improve the design of tables. Next, we create tables and determine the most efficient data types to use. Finally, we extend security to data types by using dynamic data masking.

In Lesson 2, you learn how to design and implement new indexes based on provided tables. We distinguish between indexed columns and included columns. Next, we implement clustered index columns based on query plans. Then, we recommend new indexes based on query plans. Finally, we analyze query plans for indexing improvements.

In Lesson 3, you learn how to design and implement a view structure to select data based on user and business requirements. We identify the steps necessary to design an updatable view. Next, we analyze the effects of DML statements using the view object. Then, we implement partitioned views. Finally, we configure and implement indexed views.

In Lesson 4, you learn to determine use cases that support the use of columnstore indexes. We identify proper use of clustered and nonclustered columnstore indexes. Next, we design standard nonclustered indexes in conjunction with clustered columnstore indexes. Finally, we implement columnstore index maintenance.

In Lesson 5, you learn to define table and foreign key constraints to enforce business rules. We write Transact-SQL statements to add constraints to tables. Next, we identify results of Data Manipulation Language (DML) statements given existing tables and constraints. Finally, we identify proper use of PRIMARY KEY constraints.

In Lesson 6, you learn how to design stored procedure components and structure based on business requirements. We implement input and output parameters. Next, we implement table-valued parameters and implement return codes. Then, we streamline existing stored procedure logic. Finally, we implement error handling and transaction control logic within stored procedures.

In Lesson 7, you learn how to design trigger logic based on business requirements. We determine when to use Data Manipulation Language (DML) triggers, Data Definition Language (DDL) triggers, or logon triggers. Next, we recognize results based on execution of AFTER or INSTEAD OF triggers. Then we design scalar-valued and table-valued user-defined functions based on business requirements. Finally, we identify differences between deterministic and nondeterministic functions.

In Lesson 8, you learn to identify DML statement results based on transaction behavior. We recognize differences between and identify usage of explicit and implicit transactions. Next, we implement savepoints within transactions. Finally, we determine the role of transactions in high-concurrency databases.

In Lesson 9, you identify differences between Read Uncommitted, Read Committed, Repeatable Read, Serializable, and Snapshot isolation levels. We define results of concurrent queries based on isolation level. Finally, we identify the resource and performance impact of given isolation levels.

In Lesson 10, you learn how to troubleshoot locking issues. We identify lock escalation behaviors. Then, we capture and analyze deadlock graphs. Finally, we identify ways to remediate deadlocks.

In Lesson 11, you define use cases for memory-optimized tables versus traditional disk-based tables. We optimize performance of in-memory tables by changing durability settings. Next, we determine best case usage scenarios for natively compiled stored procedures Finally, we enable collection of execution statistics for natively compiled stored procedures.

In Lesson 12, you determine the accuracy of statistics and the associated impact to query plans and performance. We design statistics maintenance tasks. Next, we use dynamic management objects to review current index usage and identify missing indexes. Finally, we consolidate overlapping indexes.

In Lesson 13, you capture query plans using extended events and traces. We identify poorly performing query plan operators. Next, we create efficient query plans using Query Store. Then, we compare estimated and actual query plans and related metadata. Finally, we configure Azure SQL Database Performance Insight.

In Lesson 14, you manage database workload in SQL Server. We design and implement Elastic Scale for Azure SQL Database. Next, we select an appropriate service tier or edition. Then, we optimize database file and tempdb configuration. After that, we optimize memory configuration. Then, we monitor and diagnose scheduling and wait statistics using dynamic management objects. In addition, we troubleshoot and analyze storage, IO, and cache issues. Finally, we monitor Azure SQL Database query plans.

In Lesson 15, you monitor operating system and SQL Server performance metrics. We compare baseline metrics to observed metrics while troubleshooting performance issues. Next, we identify differences between performance monitoring and logging tools, such as perfmon and dynamic management objects. Then, we monitor Azure SQL Database performance. After that, we determine best practice use cases for extended events. Then, we distinguish between Extended Events targets. In addition, we compare the impact of Extended Events and SQL Trace. Finally, we define differences between Extended Events Packages, Targets, Actions, and Sessions.

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Table of contents

  1. Introduction
    1. SQL Server 70-762: Introduction
  2. Module 1 Design and Implement Database Objects
    1. Module introduction
  3. Lesson 1: Design and Implement a Relational Database Schema
    1. Learning objectives
    2. 1.1 Designing Tables and Schemas Based on Business Requirements
    3. 1.2 Lab: Building the Design
    4. 1.3 Improving the Design of Tables by Using Normalization
    5. 1.4 Lab: Implementing Normalization
    6. 1.5 Writing Table Create Statements
    7. 1.6 Lab: Creating Tables
    8. 1.7 Determining the Most Efficient Data Types to Use: Categories, Precedence, Conversion, Considerations, and Keys
    9. 1.8 Determining the Most Efficient Data Types to Use: Identity and Sequence
    10. 1.9 Determining the Most Efficient Data Types to Use: Computed Columns, Numeric, and Date/Time
    11. 1.10 Determining the Most Efficient Data Types to Use: Character, Unicode, Binary String, and Other Data Types
    12. 1.11 Lab: Reviewing Data Types and Their Applications
    13. 1.12 Extending Security to Data Types by Using Dynamic Data Masking
    14. 1.13 Lab: Using DDM Functions
    15. Lesson 1 Summary
  4. Lesson 2: Design and Implement Indexes
    1. Learning objectives
    2. 2.1 Designing New Indexes Based on Provided Tables, Queries, or Plans
    3. 2.2 Lab: Implementing Indexes
    4. 2.3 Distinguishing Between Indexed Columns and Included Columns
    5. 2.4 Lab: Distinguishing Between Indexed Columns and Included Columns
    6. 2.5 Implementing Clustered Index Columns by Using Best Practices
    7. 2.6 Lab: Choosing the Clustered Index Columns Based on Best Practices
    8. 2.7 Recommending New Indexes Based on Query Plans
    9. 2.8 Lab: Analyzing Query Plans for Indexing Improvements
    10. Lesson 2 Summary
  5. Lesson 3: Design and Implement Views
    1. Learning objectives
    2. 3.1 Designing a View Structure to Select Data Based on User or Business Requirements
    3. 3.2 Lab: Implementing a View Structure
    4. 3.3 Identifying the Steps Necessary to Design an Updatable View
    5. 3.4 Lab: Analyzing the Effects of DML Statements Using a VIEW Object
    6. 3.5 Implementing Partitioned Views
    7. 3.6 Lab: Configuring and Using Partitioned Views
    8. 3.7 Implementing Indexed Views
    9. 3.8 Lab: Configuring and Using Indexed Views
    10. Lesson 3 Summary
  6. Lesson 4: Implement Columnstore Indexes
    1. Learning objectives
    2. 4.1 Determining Use Cases That Support the Use of Columnstore Indexes
    3. 4.2 Lab: Understanding the Conceptual Format of Columnstore Indexes
    4. 4.3 Identifying Proper Usage of Clustered and Non-clustered Columnstore Indexes
    5. 4.4 Lab: Using Clustered Columnstore Indexes in Dimensional Data Warehouse Structures
    6. 4.5 Lab: Using Non-clustered Columnstore Indexes in OLTP Tables to Support Analytics
    7. 4.6 Designing Standard Non-clustered Indexes in Conjunction with Clustered Columnstore Indexes
    8. 4.7 Lab: Adding Non-clustered Indexes to Clustered Columnstore Indexes
    9. 4.8 Implementing Columnstore Index Maintenance
    10. 4.9 Lab: Using the ALTER INDEX Statement
    11. Lesson 4 Summary
  7. Module 2 Implement Programmability Objects
    1. Module introduction
  8. Lesson 5: Ensure Data Integrity with Constraints
    1. Learning objectives
    2. 5.1 Defining Table and Foreign Key Constraints to Enforce Business Rules
    3. 5.2 Lab: Using DEFAULT, UNIQUE, CHECK, and FOREIGN KEY Constraints
    4. 5.3 Writing Transact-SQL Statements to Add Constraints to Tables
    5. 5.4 Lab: Creating and Managing Constraints
    6. 5.5 Identifying Results of Data Manipulation Language (DML) Statements Given Existing Tables and Constraints
    7. 5.6 Lab: Writing INSERT, UPDATE, and DELETE Statements on Tables with Constraints
    8. 5.7 Identifying Proper Usage of PRIMARY KEY Constraints
    9. 5.8 Lab: Creating and Managing PRIMARY KEY Constraints
    10. Lesson 5 Summary
  9. Lesson 6: Create Stored Procedures
    1. Learning objectives
    2. 6.1 Designing Stored Procedure Components and Structure Based on Business Requirements
    3. 6.2 Lab: Creating Stored Procedures
    4. 6.3 Implementing Input and Output Parameters
    5. 6.4 Lab: Creating and Calling Stored Procedures with Input and Output Parameters
    6. 6.5 Implementing Table-valued Parameters
    7. 6.6 Lab: Creating and Calling Stored Procedures Using Table-valued Parameters
    8. 6.7 Implementing Return Codes
    9. 6.8 Lab: Creating and Executing Stored Procedures with RETURN Statements
    10. 6.9 Streamlining Existing Stored Procedure Logic
    11. 6.10 Lab: Altering Stored Procedures to Streamline Logic
    12. 6.11 Implementing Error Handling and Transaction Control Logic Within Stored Procedures
    13. 6.12 Lab: Implementing Error Handling in Stored Procedures Using THROW, RAISERROR, and TRY…CATCH Statements
    14. 6.13 Lab: Using Transaction Control Logic Within Stored Procedures
    15. Lesson 6 Summary
  10. Lesson 7: Create Triggers and User-Defined Functions
    1. Learning objectives
    2. 7.1 Designing Trigger Logic Based on Business Requirements
    3. 7.2 Lab: Creating and Implementing Triggers
    4. 7.3 Determining When to Use Data Manipulation Language (DML) Triggers, Data Definition Language (DDL) Triggers, or Logon Triggers
    5. 7.4 Lab: Implementing DML Triggers
    6. 7.5 Lab: Implementing DDL Triggers
    7. 7.6 Lab: Implementing Logon Triggers
    8. 7.7 Recognizing Results Based on Execution of AFTER Triggers
    9. 7.8 Recognizing Results Based on Execution of INSTEAD OF Triggers
    10. 7.9 Lab: Implementing AFTER and INSTEAD OF Triggers
    11. 7.10 Designing Scalar-valued and Table-valued User-defined Functions Based on Business Requirements
    12. 7.11 Lab: Creating and Implementing Scalar-valued User-defined Functions
    13. 7.12 Lab: Creating and Implementing Table-valued User-defined Functions
    14. 7.13 Identifying Differences Between Deterministic and Non-deterministic Functions
    15. 7.14 Lab: Implementing Deterministic and Non-deterministic Functions
    16. Lesson 7 Summary
  11. Module 3 Manage Database Concurrency
    1. Module introduction
  12. Lesson 8: Implement Transactions
    1. Learning objectives
    2. 8.1 Identifying DML Statement Results Based on Transaction Behavior
    3. 8.2 Lab: Implementing and Exploring Transaction Behavior
    4. 8.3 Recognizing Differences Between and Identifying Usage of Explicit and Implicit Transactions
    5. 8.4 Lab: Implementing Transaction Control
    6. 8.5 Implementing Savepoints Within Transactions
    8. 8.7 Determining the Role of Transactions in High-concurrency Databases
    9. 8.8 Lab: Implementing and Managing Locks
    10. Lesson 8 Summary
  13. Lesson 9: Manage Isolation Levels
    1. Learning objectives
    2. 9.1 Identifying Differences Between Read Uncommitted, Read Committed, Repeatable Read, Serializable, and Snapshot Isolation Levels
    3. 9.2 Defining Results of Concurrent Queries Based on Isolation Level
    4. 9.3 Lab: Implementing Results of Concurrent Queries Using SET TRANSACTION ISOLATION LEVEL
    5. 9.4 Identifying the Resource and Performance Impact of Given Isolation Levels
    6. 9.5 Lab: Reviewing Resource and Performance Impact of Isolation Levels
    7. Lesson 9 Summary
  14. Lesson 10: Optimize Concurrency and Locking Behavior
    1. Learning objectives
    2. 10.1 Troubleshooting Locking Issues
    3. 10.2 Lab: Using Dynamic Management Views (DMVs) to Obtain Lock Information
    4. 10.3 Identifying Lock Escalation Behaviors
    5. 10.4 Lab: Monitoring Lock Escalation
    6. 10.5 Capturing and Analyzing Deadlock Graphs
    7. 10.6 Lab: Using SQL Server Profiler and Extended Events Viewer to Capture Deadlock Information
    8. 10.7 Identifying Ways to Remediate Deadlocks
    9. Lesson 10 Summary
  15. Lesson 11: Implement Memory-Optimized Tables and Native Stored Procedures
    1. Learning objectives
    2. 11.1 Defining Use Cases for Memory-Optimized Tables Versus Traditional Disk-based Tables
    3. 11.2 Optimizing Performance of In-Memory Tables by Changing Durability Settings
    4. 11.3 Lab: Creating and Configuring Memory-Optimized Tables
    5. 11.4 Determining Best Case Usage Scenarios for Natively Compiled Stored Procedures
    6. 11.5 Lab: Using Natively Compiled Stored Procedures
    7. 11.6 Enabling Collection of Execution Statistics for Natively Compiled Stored Procedures
    8. 11.7 Lab: Using System Stored Procedures to Collect Execution Statistics
    9. Lesson 11 Summary
  16. Module 4 Optimize Database Objects and SQL Infrastructure
    1. Module introduction
  17. Lesson 12: Optimize Statistics and Indexes
    1. Learning objectives
    2. 12.1 Determining the Accuracy of Statistics and the Associated Impact to Query Plans and Performance
    3. 12.2 Lab: Using the DBCC SHOW_STATISTICS Command
    4. 12.3 Designing Statistics Maintenance Tasks
    5. 12.4 Lab: Using UPDATE STATISTICS
    6. 12.5 Using Dynamic Management Objects to Review Current Index Usage and Identify Missing Indexes
    7. 12.6 Lab: Implementing DMOs that Evaluate Index Usage
    8. 12.7 Consolidating Overlapping Indexes
    9. 12.8 Lab: Examining Overlappping Indexes
    10. Lesson 12 Summary
  18. Lesson 13: Analyze and Troubleshoot Query Plans
    1. Learning objectives
    2. 13.1 Capturing Query Plans Using Extended Events and Traces
    3. 13.2 Lab: Using Extended Events to Capture Query Plans
    4. 13.3 Lab: Using SQL Server Profiler to Define a Trace
    5. 13.4 Identifying Poorly Performing Query Plan Operators
    6. 13.5 Lab: Understanding Query Plans
    7. 13.6 Creating Efficient Query Plans Using Query Store
    8. 13.7 Lab: Monitoring Performance Using the Query Store
    9. 13.8 Comparing Estimated and Actual Query Plans and Related Metadata
    10. 13.9 Lab: Comparing an Estimated and Actual Query Plan for a Given Query
    11. 13.10 Configuring Azure SQL Database Performance Insight
    12. 13.11 Lab: Using Azure SQL Database Performance Insight
    13. Lesson 13 Summary
  19. Lesson 14: Manage Performance for Database Instances
    1. Learning objectives
    2. 14.1 Managing Database Workload in SQL Server
    3. 14.2 Lab: Using the SQL Server Resource Governor
    4. 14.3 Designing and Implementing Elastic Scale for Azure SQL Databases
    5. 14.4 Lab: Using Elastic Database Tools
    6. 14.5 Selecting an Appropriate Service Tier or Edition
    7. 14.6 Optimizing Database File and Tempdb Configuration
    8. 14.7 Optimizing Memory Configuration
    9. 14.8 Lab: Using Object Explorer Properties and T-SQL to Configure Memory
    10. 14.9 Monitoring and Diagnosing Scheduling and Wait Statistics Using Dynamic Management Objects
    11. 14.10 Lab: Using Wait Statistics DMVs
    12. 14.11 Troubleshooting and Analyzing Storage, IO, and Cache Issues
    13. 14.12 Lab: Using Performance Counters to Provide IO Information
    14. 14.13 Lab: Using Performance Counters to Monitor Memory
    15. 14.14 Lab: Using DMVs to Monitor Memory Usage
    16. 14.15 Monitoring Azure SQL Database Query Plans
    17. Lesson 14 Summary
  20. Lesson 15: Monitor and Trace SQL Server Baseline Performance Metrics
    1. Learning objectives
    2. 15.1 Monitoring Operating System and SQL Server Performance Metrics
    3. 15.2 Lab: Using Performance Monitor (PerfMon)
    4. 15.3 Comparing Baseline Metrics to Observed Metrics While Troubleshooting Performance Issues
    5. 15.4 Lab: Configuring and Using Management Data Warehouse
    6. 15.5 Identifying Differences Between Performance Monitoring and Logging Tools, such as PerfMon and Dynamic Management Objects
    7. 15.6 Monitoring Azure SQL Database Performance
    8. 15.7 Lab: Using the Add Alert Rule Blade in the Azure Portal
    9. 15.8 Determining Best Practice Use Cases for Extended Events
    10. 15.9 Distinguishing Between Extended Events Targets
    11. 15.10 Comparing the Impact of Extended Events and SQL Trace
    12. 15.11 Defining Differences Between Extended Events Packages, Targets, Actions, and Sessions
    13. Lesson 15 Summary
  21. Summary
    1. SQL Server 70-762: Summary

Product information

  • Title: SQL Server 70-762: Developing SQL Databases: Required Knowledge for SQL Server 2012 and 2014
  • Author(s): Marilyn White
  • Release date: July 2018
  • Publisher(s): Pearson
  • ISBN: 0134769902