IT SPECIALIST EXAM -Databases
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The Information Technology Specialist program offers individuals a chance to confirm their foundational IT skills, which are highly desired by employers. This program is intended for those who are starting or considering a career in information technology. Candidates can certify their knowledge in a wide range of IT subjects, such as software development, database administration, networking and security, mobility and device management, and coding.
Product Description
IT SPECIALIST EXAM: Databases Exam 35 – 45 Questions
Databases: Candidates should be able to design and query relational databases, such as MySQL, Microsoft SQL Server, or Oracle. for this exam
Exam Objective : Databases Exam:
Database Design
1.1 Given a scenario, design tables for storing data
- Identify entities, rows/records, columns/fields
1.2 Given a scenario, identify the appropriate primary key
- Primary key, composite/compound key
1.3 Given a scenario, choose data types to meet the requirements
- Definition and importance of data types; how data types affect storage requirements; data types for storing text, numbers, dates and times, and Boolean values
1.4 Given a scenario, design relationships between tables
- How to establish relationships using primary and foreign keys, entity relationship diagrams (ERDs), referential integrity
1.5 Normalize a database
- Reasons for normalization, how to normalize a database to third normal form (3NF)
1.6 Given a scenario, identify data protection measures
- Backups, restore, principle of least privilege, GRANT, WITH GRANT OPTION, REVOKE, purpose of roles
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
Data Retrieval
3.1 Construct and analyze queries that select data
- INNER JOIN, LEFT JOIN, RIGHT JOIN, CROSS JOIN (Cartesian product), and FULL OUTER JOIN; self joins; combine result sets by using UNION and INTERSECT; DISTINCT; column alias; computed columns
3.2 Construct and analyze queries that sort and filter data
- ORDER BY, WHERE, LIKE, BETWEEN, AND, OR, NOT, TOP (LIMIT), IN, NOT IN, ANY, ALL, NULL, NOT NULL, comparison operators
3.3 Construct and analyze queries that aggregate data
- GROUP BY, HAVING, MIN, MAX, COUNT, AVG (AVERAGE), SUM
Data Manipulation using DML
4.1 Construct and analyze INSERT statements
- INSERT INTO SELECT, INSERT INTO VALUES
4.2 Construct and analyze UPDATE statements
- Update data in a single table
4.3 Construct and analyze DELETE statements
- Delete data from a single table
Troubleshooting
5.1 Troubleshoot data object management query failures
- Syntax and runtime errors
5.2 Troubleshoot data retrieval query failures
- Syntax and runtime errors
5.3 Troubleshoot data manipulation query failures
- Syntax and runtime errors
Exam Name |
Exam Type | Time (minutes) | Total Score | Pass Score |
Databases Exam | Multiple Choice | 50 | 1000 | 700 |
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