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DB SQL Certified
Learn to write efficient SELECT statements, master joins, subqueries, functions, DML/DDL, and explore the data dictionary, preparing for the Oracle Database SQL Certified Associate exam and demonstrate proficiency.
120
Minutes
78
Questions
63
Passing Score
$245
Exam Cost
Who Should Take This
Database administrators, developers, and data analysts who have basic SQL knowledge and seek to validate their skills for Oracle environments should consider this certification. It targets professionals with 1–3 years of hands‑on experience who aim to deepen expertise in query construction, data manipulation, and schema management to advance their careers or qualify for higher‑level Oracle roles.
What's Covered
1
SELECT and Data Retrieval
2
Joins and Subqueries
3
Functions and Expressions
4
DML and DDL Operations
5
Data Dictionary and Advanced Topics
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
62 learning goals
1
SELECT and Data Retrieval
2 topics
Basic SELECT
- Identify SELECT statement clauses including column aliases, DISTINCT, concatenation, literal values, and NULL handling.
- Implement WHERE clause conditions with comparison, logical, IN, BETWEEN, LIKE, and IS NULL operators.
- Configure ORDER BY with multiple columns, expressions, aliases, and NULLS FIRST/LAST for result sorting.
- Analyze query output requirements to construct SELECT statements with appropriate filtering, sorting, and column expressions.
- Identify the key components and features of Basic SELECT and describe their primary functions within Oracle Database SQL Certified Associate.
- Deploy Basic SELECT with integration to monitoring, logging, and alerting services for operational visibility.
- Analyze Basic SELECT configurations to identify security vulnerabilities, bottlenecks, and optimization opportunities.
Advanced Retrieval
- Identify set operators UNION, UNION ALL, INTERSECT, and MINUS and their rules for combining query results.
- Implement hierarchical queries using CONNECT BY, START WITH, LEVEL, and SYS_CONNECT_BY_PATH for tree data.
- Configure substitution variables and DEFINE/UNDEFINE for interactive SQL*Plus query parameterization.
- Evaluate query approaches using set operators versus joins versus subqueries for combining data from multiple sources.
- Configure Advanced Retrieval with appropriate settings and parameters for a production deployment scenario in Oracle Database SQL Certified Associate.
- Assess Advanced Retrieval implementations against best practices to identify gaps and recommend improvements.
- Name the prerequisites, dependencies, and supporting services required for implementing Advanced Retrieval.
2
Joins and Subqueries
2 topics
Join Operations
- Identify join types: INNER JOIN, LEFT/RIGHT/FULL OUTER JOIN, CROSS JOIN, NATURAL JOIN, and self-joins.
- Implement multi-table joins with ON and USING clauses to retrieve data from related tables with proper join conditions.
- Configure outer joins to include non-matching rows and handle NULL values in join results.
- Analyze data retrieval requirements to select the most appropriate join type and optimize join order for performance.
- Evaluate Join Operations alternatives and tradeoffs to recommend the optimal approach for given constraints.
- Recognize common terminology, acronyms, and best practices associated with Join Operations.
Subquery Techniques
- Identify subquery types: single-row, multi-row, correlated, and scalar subqueries and their placement in SQL statements.
- Implement correlated subqueries with EXISTS and NOT EXISTS for row-by-row conditional data retrieval.
- Configure inline views and the WITH clause (common table expressions) for complex query decomposition.
- Evaluate subquery versus join approaches to recommend the most readable and performant query structure.
- List the configuration options and parameters available for Subquery Techniques and describe when each is appropriate.
- Apply Subquery Techniques configuration patterns to meet specific business requirements including compliance needs.
3
Functions and Expressions
2 topics
Single-Row Functions
- Identify single-row function categories: character, number, date, conversion, and general functions in Oracle SQL.
- Implement string functions (SUBSTR, INSTR, REPLACE, TRIM, REGEXP_SUBSTR) for text manipulation in queries.
- Apply date functions (MONTHS_BETWEEN, ADD_MONTHS, NEXT_DAY, LAST_DAY, EXTRACT) and date arithmetic.
- Analyze data transformation needs to select and combine appropriate single-row functions for complex expressions.
- Implement Single-Row Functions following best practices for security, performance, and reliability.
- Diagnose Single-Row Functions issues by analyzing metrics, logs, and configuration to determine root causes.
Aggregate and Analytic Functions
- Identify aggregate functions and GROUP BY/HAVING clauses for summarizing data across groups of rows.
- Implement analytic functions (ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD) with OVER clause windowing.
- Configure ROLLUP, CUBE, and GROUPING SETS for multi-level aggregation and subtotal reporting.
- Evaluate aggregation approaches to design efficient summary queries with proper grouping and window specifications.
- Analyze Aggregate and Analytic Functions configurations to identify security vulnerabilities, bottlenecks, and optimization opportunities.
- Identify the key components and features of Aggregate and Analytic Functions and describe their primary functions within Oracle Database SQL Certified Associate.
4
DML and DDL Operations
2 topics
Data Manipulation
- Identify DML statement syntax for INSERT, UPDATE, DELETE, and MERGE operations with single and multi-table targets.
- Implement multi-table INSERT (ALL, FIRST, conditional) for distributing data across multiple target tables.
- Configure MERGE statements combining INSERT, UPDATE, and DELETE in a single atomic operation for data synchronization.
- Analyze data modification requirements to select the most efficient DML approach for bulk and conditional operations.
- Name the prerequisites, dependencies, and supporting services required for implementing Data Manipulation.
- Configure Data Manipulation with appropriate settings and parameters for a production deployment scenario in Oracle Database SQL Certified Associate.
DDL and Schema Objects
- Identify DDL statements for CREATE, ALTER, DROP, TRUNCATE, and RENAME operations on database objects.
- Implement table creation with column definitions, constraints, default values, and virtual columns.
- Configure views, sequences, indexes, and synonyms using DDL statements for schema management.
- Evaluate schema object designs to recommend appropriate DDL structures for performance, maintenance, and data integrity.
- Explain how to troubleshoot common issues with DDL and Schema Objects including error messages and diagnostic procedures.
- Evaluate DDL and Schema Objects alternatives and tradeoffs to recommend the optimal approach for given constraints.
5
Data Dictionary and Advanced Topics
2 topics
Data Dictionary
- Identify Oracle Data Dictionary views (USER_, ALL_, DBA_) for querying metadata about database objects and structures.
- Query data dictionary views to retrieve information about tables, columns, constraints, indexes, and user privileges.
- Implement DESCRIBE command and data dictionary queries for database documentation and schema analysis.
- Analyze data dictionary information to assess schema structure, identify orphaned objects, and verify constraint coverage.
- Compare Data Dictionary deployment patterns to determine the best architecture for availability and scalability needs.
- List the configuration options and parameters available for Data Dictionary and describe when each is appropriate.
Advanced SQL Features
- Identify conditional expressions including CASE, DECODE, NVL, NVL2, NULLIF, and COALESCE for handling NULL and conditions.
- Implement regular expression functions (REGEXP_LIKE, REGEXP_REPLACE, REGEXP_INSTR, REGEXP_COUNT) for pattern matching.
- Configure flashback query using AS OF TIMESTAMP and VERSIONS BETWEEN for historical data retrieval.
- Evaluate advanced SQL features to solve complex data retrieval problems with optimal readability and performance.
- Describe the architecture and workflow of Advanced SQL Features including integration points with related services.
- Implement Advanced SQL Features following best practices for security, performance, and reliability.
Scope
Included Topics
- All domains in the Oracle Database SQL Certified Associate certification exam guide.
- Core topics: SELECT, DML, DDL, Joins, Subqueries, Set Operators, Functions, Schema Objects, Data Dictionary.
- Oracle services, tools, and best practices relevant to this certification.
- Scenario-based problem solving at the Associate level.
Not Covered
- Topics outside the official exam guide scope.
- Programming language specifics beyond the exam requirements.
- Specific pricing values that change over time.
- Third-party products beyond basic integration awareness.
Official Exam Page
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