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  4. CIT178 Sample
  5. IT Specialist 201 Database Exam Information and Resources
  6. 2. Database Object Management using DDL

2. Database Object Management using DDL

2.1 Construct and analyze queries that create, alter, and drop tables • Create, alter, and drop tables by using proper ANSI SQL syntax; NULL and NOT NULL
2.2 Construct and analyze queries that create, alter, and drop views • Create, alter, and drop views by using proper ANSI SQL syntax; purpose of views
2.3 Construct and analyze stored procedures and functions • Input and output parameters, return values, purpose of stored procedures
2.4 Given a scenario, choose between clustered and non-clustered indexes • When to use clustered vs. non-clustered indexes, syntax for creating indexes
    • CREATE TABLE (Transact-SQL).pdfCREATE TABLE (Transact-SQL).pdf
    • Designing and Implementing Views.pdfDesigning and Implementing Views.pdf
    • How to_ Change Index Properties.pdfHow to_ Change Index Properties.pdf
    • How to_ Create Clustered Indexes.pdfHow to_ Create Clustered Indexes.pdf
    • How to_ Create Full-Text Indexes.pdfHow to_ Create Full-Text Indexes.pdf
    • How to_ Create Indexes.pdfHow to_ Create Indexes.pdf
    • How to_ Create Unique Indexes.pdfHow to_ Create Unique Indexes.pdf
    • How to_ Create Views (Visual Database Tools).pdfHow to_ Create Views (Visual Database Tools).pdf
    • How to_ Delete Indexes.pdfHow to_ Delete Indexes.pdf
    • Modifying Views.pdfModifying Views.pdf
    • SQL Command Summary.pdfSQL Command Summary.pdf
    • Understanding the Use of NULL in SQL Three-Valued Logic _ LearnSQL.pdfUnderstanding the Use of NULL in SQL Three-Valued Logic _ LearnSQL.pdf
    • Understanding Views.pdfUnderstanding Views.pdf
    • Views.pdfViews.pdf
    • What are the advantages of stored procedures_.pdfWhat are the advantages of stored procedures_.pdf
    • Working with Indexes.pdfWorking with Indexes.pdf
    • Working with Views (Visual Database Tools).pdfWorking with Views (Visual Database Tools).pdf
◄ 1. Database Design
Clustered and Nonclustered Indexes ►
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