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| Section | Weight | Objectives |
|---|---|---|
| Algorithms & Complexity | 25% | - Big O notation, time and space complexity - Sorting and searching algorithms - Algorithm design and analysis - Recursion and iterative structures |
| Data Structures | 20% | - Arrays, linked lists, stacks, queues - Primitive and composite data types - Trees, graphs, hash tables - Data storage and retrieval principles |
| Software Engineering & Programming Basics | 15% | - Software development lifecycle - Testing and debugging fundamentals - Programming paradigms - Basic syntax and control structures |
| Computer Architecture & Organization | 15% | - Von Neumann architecture - CPU, memory, I/O systems - Memory hierarchy and performance - Instruction sets and execution cycles |
| Discrete Mathematics & Logic | 25% | - Propositional and predicate logic - Boolean algebra and digital logic - Set theory, relations, functions - Proof techniques and mathematical induction |
1. Which type of files are meant to be inaccessible to standard users, but can be critical in terms of functionality?
A) Log files
B) Backup files
C) System files
D) Extension files
2. Which method allows a user to convert a string value to all capital letters in Python?
A) upper()
B) toUpperCase()
C) upperCase()
D) makeUpper()
3. Which file system is commonly used in Windows and supports file permissions?
A) FAT32
B) HFS+
C) NTFS
D) EXT4
4. What type of encryption is provided by encryption utilities built into the file system?
A) Encryption steganography
B) Encryption at rest
C) Encryption in motion
D) Encryption authentication
5. What Python code would return the value 40 from np_2d, where np_2d = np.array([[1, 2, 3, 4], [10, 20, 30,
40]])?
A) np_2d[4, 1]
B) np_2d[0, 4]
C) np_2d[3, 1]
D) np_2d[1, 3]
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: D |
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