Programming Fundamentals Practice Exam

Programming Fundamentals  refers to the practice of basics of programming or writing code or software programs. The practice includes loops, conditionals, arrays, lists, variables, and functions. The practice acts as a stepping stone for developing clear, and useful code.

Certification in Programming Fundamentals verifies your skills and knowledge basics of programming. The certification assess you in variables, data types, loops, conditionals, functions, and data structures.
Why is Programming Fundamentals certification important?

• The certification validates your skills and knowledge of coding.
• Increases your employability.
• Helps your move to advanced programming roles .
  
• Validates your ability to problem-solve using logical and structured code.
• Boosts your career prospects in IT jobs.
• Showcases your commitment to learn and apply programming skills.
• Acts as a valuable credential for tech jobs.

Who should take the Programming Fundamentals Exam?

• Software Developers
• Web Developers
• Data Analysts
• IT Support Technicians
• Computer Programmers
• Software Engineers (Entry-Level)
• Mobile App Developers
• Systems Analysts
• Test Engineers
• Database Administrators (Entry-Level)
• Quality Assurance Analysts
• Technical Support Specialists

Skills Evaluated

Candidates taking the certification exam on the Programming Fundamentals is evaluated for the following skills:

• Variables, data types, and operators.
• Control structures
• Conditional statements
  
• Functions
  
• Data structures
  
• Input and output
  
• Debug code
  
• Algorithms
  
• Problem-solving
  
• Syntax and structure of programming languages
  

Programming Fundamentals Certification Course Outline
The course outline for Programming Fundamentals certification is as below -

• What is programming?
• Overview of programming languages.
• The role of compilers and interpreters.
• Programming paradigms (procedural, object-oriented, functional).

• Understanding variables and constants.
• Primitive data types (integers, floats, booleans, strings).
• Type conversion and casting.
• Variable scope and lifetime.

• Conditional statements (if, if-else, switch).
• Looping constructs (for, while, do-while).
• Break and continue statements.
• Nested loops and conditions.

• Defining and calling functions.
• Parameters and return types.
• Recursion basics.
• Function scope and local/global variables.

• Arrays and lists.
• Stacks, queues, and linked lists.
• Dictionaries (hashmaps) and sets.
• Sorting and searching algorithms (basic).

• Introduction to algorithm design.
• Simple algorithms (e.g., linear search, binary search).
• Understanding time complexity (Big O notation).
• Basic sorting algorithms (bubble sort, insertion sort).

• Reading and writing to files.
• User input handling.
• Console-based input and output.

• Types of errors: syntax, runtime, logical.
• Debugging techniques.