Oracle Database SQL Certified Associate
1 Introduction to SQL
1-1 Overview of SQL
1-2 History of SQL
1-3 SQL Standards
2 SQL Data Types
2-1 Numeric Data Types
2-2 Character Data Types
2-3 Date and Time Data Types
2-4 Large Object (LOB) Data Types
2-5 Miscellaneous Data Types
3 Creating and Managing Tables
3-1 Creating Tables
3-2 Modifying Tables
3-3 Dropping Tables
3-4 Table Constraints
3-5 Temporary Tables
4 Data Manipulation Language (DML)
4-1 Inserting Data
4-2 Updating Data
4-3 Deleting Data
4-4 Selecting Data
4-5 Using Subqueries
5 Data Control Language (DCL)
5-1 Granting Privileges
5-2 Revoking Privileges
6 Data Definition Language (DDL)
6-1 Creating Tables
6-2 Altering Tables
6-3 Dropping Tables
6-4 Creating Indexes
6-5 Dropping Indexes
6-6 Creating Views
6-7 Dropping Views
7 SQL Functions
7-1 Single-Row Functions
7-2 Aggregate Functions
7-3 Group Functions
7-4 Analytical Functions
8 Joins and Subqueries
8-1 Inner Joins
8-2 Outer Joins
8-3 Self-Joins
8-4 Cross Joins
8-5 Subqueries
9 Set Operators
9-1 UNION
9-2 UNION ALL
9-3 INTERSECT
9-4 MINUS
10 Grouping and Aggregation
10-1 GROUP BY Clause
10-2 HAVING Clause
10-3 ROLLUP and CUBE
10-4 GROUPING SETS
11 Transactions and Concurrency
11-1 Transaction Control Statements
11-2 Locking and Concurrency
11-3 Isolation Levels
12 Oracle SQL Developer
12-1 Overview of Oracle SQL Developer
12-2 Using SQL Worksheet
12-3 Managing Connections
12-4 Running Scripts
13 Advanced SQL Topics
13-1 Recursive Queries
13-2 Model Clause
13-3 PIVOT and UNPIVOT
13-4 Flashback Query
14 Performance Tuning
14-1 Query Optimization
14-2 Indexing Strategies
14-3 Analyzing Query Performance
15 Security and Auditing
15-1 User Management
15-2 Role Management
15-3 Auditing SQL Statements
16 Backup and Recovery
16-1 Backup Strategies
16-2 Recovery Strategies
16-3 Using RMAN
17 Oracle Database Architecture
17-1 Overview of Oracle Database Architecture
17-2 Memory Structures
17-3 Process Structures
17-4 Storage Structures
18 PLSQL Basics
18-1 Introduction to PLSQL
18-2 PLSQL Block Structure
18-3 Variables and Data Types
18-4 Control Structures
18-5 Exception Handling
19 Oracle SQL Certification Exam Preparation
19-1 Exam Objectives
19-2 Sample Questions
19-3 Practice Tests
19-4 Exam Tips
Oracle SQL Certification Exam Preparation

Oracle SQL Certification Exam Preparation

Key Concepts

1. Understanding the Exam Structure

The Oracle SQL Certification Exam consists of multiple-choice questions that test your knowledge of SQL syntax, database concepts, and practical problem-solving skills. Familiarize yourself with the exam format and question types.

Example:

The exam may include questions on SQL SELECT statements, JOIN operations, and data manipulation.

2. SQL Syntax and Commands

Master the basic SQL commands such as SELECT, INSERT, UPDATE, DELETE, and their various clauses like WHERE, ORDER BY, GROUP BY, and HAVING. Understanding these commands is crucial for manipulating data in Oracle databases.

Example:

A basic SELECT statement:

SELECT * FROM employees WHERE department_id = 10;

3. Data Types and Constraints

Learn about the different data types available in Oracle (e.g., VARCHAR2, NUMBER, DATE) and how to use them effectively. Also, understand the importance of constraints like PRIMARY KEY, FOREIGN KEY, UNIQUE, and NOT NULL.

Example:

Creating a table with constraints:

CREATE TABLE employees ( employee_id NUMBER PRIMARY KEY, first_name VARCHAR2(50) NOT NULL, last_name VARCHAR2(50) NOT NULL, hire_date DATE );

4. Joins and Subqueries

Understand how to use JOIN operations (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN) to combine data from multiple tables. Also, learn how to write subqueries to perform complex queries that cannot be easily achieved with simple joins.

Example:

Using an INNER JOIN:

SELECT e.employee_id, e.first_name, d.department_name FROM employees e INNER JOIN departments d ON e.department_id = d.department_id;

5. Aggregate Functions and Grouping

Learn how to use aggregate functions like COUNT, SUM, AVG, MIN, and MAX to perform calculations on groups of rows. Understand how to use the GROUP BY clause to group data and the HAVING clause to filter groups.

Example:

Using aggregate functions:

SELECT department_id, COUNT(*) AS employee_count FROM employees GROUP BY department_id HAVING COUNT(*) > 5;

6. Data Manipulation Language (DML)

Practice inserting, updating, and deleting data using DML commands. Understand the implications of these operations on the database and how to use transactions to ensure data integrity.

Example:

Updating data:

UPDATE employees SET salary = salary * 1.1 WHERE department_id = 10;

7. Data Definition Language (DDL)

Learn how to create, alter, and drop database objects like tables, indexes, and views using DDL commands. Understand the structure of these objects and how they interact with each other.

Example:

Creating a table:

CREATE TABLE departments ( department_id NUMBER PRIMARY KEY, department_name VARCHAR2(50) NOT NULL );

8. Indexes and Performance Tuning

Understand the purpose of indexes in improving query performance. Learn how to create and manage indexes, and how to use them effectively to optimize database performance.

Example:

Creating an index:

CREATE INDEX idx_last_name ON employees(last_name);

9. Views and Materialized Views

Learn how to create and use views to simplify complex queries and provide a layer of abstraction over the underlying tables. Understand the difference between regular views and materialized views, which store the result of a query.

Example:

Creating a view:

CREATE VIEW employee_details AS SELECT employee_id, first_name, last_name, department_name FROM employees e JOIN departments d ON e.department_id = d.department_id;

10. Transactions and Concurrency

Understand the concept of transactions and how they ensure data consistency. Learn about isolation levels and how to manage concurrency to prevent issues like dirty reads, non-repeatable reads, and phantom reads.

Example:

Using transactions:

BEGIN UPDATE accounts SET balance = balance - 100 WHERE account_id = 1; UPDATE accounts SET balance = balance + 100 WHERE account_id = 2; COMMIT; END;

11. PL/SQL Basics

Learn the basics of PL/SQL, Oracle's procedural language extension to SQL. Understand how to write PL/SQL blocks, procedures, functions, and triggers to perform complex operations and automate tasks.

Example:

A simple PL/SQL block:

DECLARE v_name VARCHAR2(50); BEGIN SELECT name INTO v_name FROM employees WHERE employee_id = 101; DBMS_OUTPUT.PUT_LINE(v_name); END;

12. Error Handling in PL/SQL

Learn how to handle exceptions in PL/SQL using the EXCEPTION block. Understand how to raise and handle custom exceptions to manage errors gracefully.

Example:

Handling exceptions:

BEGIN UPDATE employees SET salary = -1000 WHERE employee_id = 101; EXCEPTION WHEN OTHERS THEN DBMS_OUTPUT.PUT_LINE('An error occurred'); END;

13. Cursors and Loops

Understand how to use cursors to handle result sets from queries. Learn how to use loops to iterate over the result set and perform operations on each row.

Example:

Using a cursor:

DECLARE CURSOR c_employees IS SELECT * FROM employees; v_employee employees%ROWTYPE; BEGIN OPEN c_employees; LOOP FETCH c_employees INTO v_employee; EXIT WHEN c_employees%NOTFOUND; DBMS_OUTPUT.PUT_LINE(v_employee.first_name); END LOOP; CLOSE c_employees; END;

14. Triggers and Events Handling

Learn how to create and use triggers to automate actions in response to database events like INSERT, UPDATE, and DELETE. Understand the different types of triggers and their use cases.

Example:

Creating a trigger:

CREATE OR REPLACE TRIGGER before_insert_employee BEFORE INSERT ON employees FOR EACH ROW BEGIN IF :NEW.salary < 0 THEN :NEW.salary := 0; END IF; END;

15. Analytical Functions

Learn how to use analytical functions like RANK, DENSE_RANK, ROW_NUMBER, and LAG/LEAD to perform complex calculations on data sets. Understand how these functions can simplify complex queries.

Example:

Using analytical functions:

SELECT employee_id, salary, RANK() OVER (ORDER BY salary DESC) AS salary_rank FROM employees;

16. Database Objects and Schemas

Understand the concept of database objects like tables, views, indexes, and sequences. Learn how to manage schemas and how to organize database objects effectively.

Example:

Creating a sequence:

CREATE SEQUENCE employee_seq START WITH 1000 INCREMENT BY 1;

17. Backup and Recovery

Learn about the importance of backing up and recovering databases. Understand the different backup strategies and recovery options available in Oracle.

Example:

Performing a backup:

RMAN> BACKUP DATABASE;

18. Security and Privileges

Understand how to manage user accounts, roles, and privileges in Oracle. Learn how to secure database objects and control access to sensitive data.

Example:

Granting privileges:

GRANT SELECT, INSERT ON employees TO hr_user;

19. Practice and Mock Exams

Practice is key to mastering the Oracle SQL Certification Exam. Take advantage of practice questions, mock exams, and hands-on exercises to reinforce your understanding and build confidence.

Example:

Taking a mock exam:

Simulate the exam environment by setting a timer and answering a set of practice questions similar to those you would encounter in the actual exam.