Microsoft Exam 70-442: PRO: Designing and Optimizing Data Access by Using Microsoft SQL Server 2005 Course Curriculum:

Designing Microsoft SQL Server 2005 Server-Side Solutions

Module 1: Selecting SQL Server Services to Support Business Needs

Overview of the Built-in SQL Server Services
Evaluating When to Use the New SQL Server Services
Evaluating the Use of Database Engine Enhancements

Module 2: Designing a Security Strategy

Overview of Authentication Modes and Authorization Strategies

Designing a Security Strategy for Components of a SQL Server  2005 Solution
Designing Objects to Manage Application Access
Creating an Auditing Strategy
Managing Multiple Development Teams Using the SQL Server 2005 Security Features

Module 3: Designing a Data Modeling Strategy

Defining Standards for Storing XML Data in a Solution
Designing a Database Solution Schema
Designing a Scale-Out Strategy

Module 4: Designing a Transaction Strategy for a SQL Server 2005 Solution

Defining Data Behavior Requirements
Defining Isolation Levels
Designing a Resilient Transaction Strategy

Module 5: Designing a Notification Services Solution

Defining Event Data
Designing a Subscription Strategy
Designing a Notification Strategy
Designing a Notification Delivery Strategy

Module 6: Designing a Service Broker Solution

Designing a Service Broker Solution Architecture
Designing Service Broker Data Flow
Designing Service Broker Solution Availability

Module 7: Planning for Source Control, Unit Testing, and Deployment

Designing a Source Control Strategy
Designing a Unit Test Plan
Creating a Performance Baseline and Benchmarking Strategy
Designing a Deployment Strategy

Module 8: Evaluating Advanced Query and XML Techniques

Evaluating Common Table Expressions
Evaluating Pivot Queries
Evaluating Ranking Queries
Overview of XQuery
Overview of Strategies for Converting Data Between XML and Relational Formats

Designing the Data Tier for a Microsoft SQL Server 2005

Module-1 Choosing Data Access Technologies and an Object Model

Introduction to Data Access Technologies
Choosing Technologies for Accessing Data
Building a Data Access Layer
Designing Data Access from SQL Common Language Runtime (CLR) Objects
Available Data Object Models for Administering SQL Server

Module-2 Designing an Exception Handling Strategy

Exception Types and Their Purposes
Detecting Exceptions
Managing Exceptions

Module 3: Choosing a Cursor Strategy

Common Scenarios for Row-Based vs. Set-Based Operations
Selecting Appropriate Server-Side Cursors
Selecting Appropriate Client-Side Cursors

Module 4: Designing Query Strategies Using Multiple Active Result Sets

Introduction to MARS
Designing Query Strategies for Multiple Reads
Designing Query Strategies for Mixing Reads and Writes in the Same Connection
Concurrency Considerations When Using MARS

Module 5: Designing Caching Strategies for Database Applications

Why Caching Is Important
Data and Query Caching in SQL Server 2005
Using Caching Technologies Outside of SQL Server
Custom Caching Techniques

Module 6: Designing a Scalable Data Tier for Database Applications

Identifying the Need to Scale
Scaling Database Applications to Avoid Concurrency Contention
Scaling SQL Server Database Systems
Scaling Database Applications Using a Service-Oriented Architecture
Improving Availability and Scalability by Scaling Out Front-End Systems

Tuning and Optimizing Queries using Microsoft

SQL Server 2005

Module 1: Measuring Database Performance

Importance of Benchmarking
Key Measures for Query Performance: Sysmon
Key Measures for Query Performance: Profiler
Guidelines for Identifying Locking and Blocking

Module 2: Optimizing Physical Database Design

Performance Optimization Model
Schema Optimization Strategy: Keys
Schema Optimization Strategy: Responsible Denormalization
Schema Optimization Strategy: Generalization

Module 3: Optimizing Queries for Performance

Performance Optimization Model: Queries
What Is Query Logical Flow?
Considerations for Using Subqueries

Module 4: Refactoring Cursors into Queries

Performance Optimization Model: Query-Set-based solutions
Five Steps to Building a Cursor
Strategies for Refactoring Cursors

Module 5: Optimizing an Indexing Strategy

Performance Optimization Model: Indexes
Considerations for Using Indexes
Best Uses of the Clustered Index
Best Practices for Non-Clustered Index Design
How to Document an Indexing Strategy

Module 6: Managing Concurrency

Performance Optimization Model: Locking and Blocking
Multimedia - "How to Use Efficient Queries to Reduce Locking and Blocking"
Strategies to Reduce Locking and Blocking.