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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Structures | 20% | - Arrays, linked lists, stacks, queues - Data storage and retrieval principles - Trees, graphs, hash tables - Primitive and composite data types |
| Topic 2: Algorithms & Complexity | 25% | - Big O notation, time and space complexity - Recursion and iterative structures - Sorting and searching algorithms - Algorithm design and analysis |
| Topic 3: Software Engineering & Programming Basics | 15% | - Programming paradigms - Testing and debugging fundamentals - Basic syntax and control structures - Software development lifecycle |
| Topic 4: Computer Architecture & Organization | 15% | - Instruction sets and execution cycles - CPU, memory, I/O systems - Memory hierarchy and performance - Von Neumann architecture |
| Topic 5: Discrete Mathematics & Logic | 25% | - Proof techniques and mathematical induction - Propositional and predicate logic - Boolean algebra and digital logic - Set theory, relations, functions |
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NEW QUESTION # 50
What is the slicing outcome of client_locations[1:3] from client_locations = ["TX", "AZ", "UT", "NY"]?
Answer: C
Explanation:
Python list slicing uses the notation list[start:stop], where start is inclusive and stop is exclusive. This means the slice begins at index start and includes elements up to, but not including, index stop. Lists in Python are zero-indexed, so for client_locations = ["TX", "AZ", "UT", "NY"], the indices are: 0 # "TX", 1 # "AZ", 2 #
"UT", 3 # "NY".
The slice client_locations[1:3] starts at index 1 and stops before index 3. Therefore, it includes elements at indices 1 and 2, which are "AZ" and "UT". The result is ["AZ", "UT"].
This slice rule is heavily emphasized in programming textbooks because it supports efficient sub-list extraction and is consistent across Python sequence types such as strings and tuples. It also helps avoid off-by-one errors by using an exclusive end boundary. The exclusive stop index makes it easy to take
"the first n items" via [0:n] and to split sequences at a boundary without overlap. In practical software development, slicing is widely used for batching data, windowing in algorithms, and parsing structured inputs, making it an essential Python skill.
NEW QUESTION # 51
What is the time complexity of a binary search algorithm?
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