data:image/png;base64,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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==Correct!2Input,Output,Syntax Error,Logic Error,Runtime Error,Traversal,Index Number,Selection,Iteration,Phishing,Caeser Cipher,Procedure,Collaboration,Argument/Parameter,Algorithm,Sequencing,Encryption,Decryption,Symmetric Key,Asymmetric Key,Botenet,Event Driven Programming,Debuggingthe data or signals received by a system or program for processing or manipulation.,the data or information produced by a system or program after processing the input.,"a mistake in the code that violates the rules of the programming language, preventing the program from compiling or running."," a mistake in a program's design or implementation that causes it to produce incorrect or unintended results, despite running without syntax errors.","when a program encounters an unexpected condition during execution, causing it to terminate abnormally.","the process of visiting each node or element in a data structure, such as an array or tree, systematically to access or manipulate its contents.", a numerical representation that identifies the position of an element within an array or data structure., a control structure that allows a program to execute different branches of code based on specified conditions., the repeated execution of a block of code until a specified condition is met., a cyberattack technique that involves tricking individuals into providing sensitive information, a simple encryption technique that shifts each letter in a plaintext message by a fixed number of positions in the alphabet to create ciphertext., a reusable block of code designed to perform a specific task or function within a program.,"process of multiple individuals or teams working together to achieve common goals in software development, problem-solving, or project execution.",a value passed to a function or procedure to provide it with the necessary input for execution.,a step-by-step set of instructions designed to solve a specific problem or perform a task.," the execution of instructions or statements in a specific, linear order to achieve a desired outcome.", the process of converting plain text into a coded format to protect the confidentiality of the information during transmission or storage.," the process of converting encrypted data back into its original plain text format, allowing authorized users to access the information.",a cryptographic method where the same key is used for both encrypting and decrypting data., a cryptographic system that uses a pair of keys—one public and one private—where the public key encrypts data and the private key decrypts it.," a network of compromised computers or devices controlled by a malicious actor, often used to perform coordinated attacks or distribute malware."," a programming paradigm where the flow of the program is determined by events such as user actions, sensor outputs, or messages from other programs."," the process of identifying, isolating, and fixing errors or bugs in a program to ensure it functions correctly." the concept of simplifying complex systems by focusing on the essential features while hiding unnecessary details.