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| Section | Objectives |
|---|---|
| Topic 1: Data & Security Basics | - Data Handling
|
| Topic 2: Computer Science Fundamentals | - Core CS Concepts
|
| Topic 3: Programming Foundations | - Programming Concepts
|
| Topic 4: Operating Systems & Architecture | - System Architecture
|
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NEW QUESTION # 48
What is the built-in data structure that implements a hash table in Python?
Answer: A
Explanation:
A hash table is a data structure that supports fast lookup, insertion, and deletion by using ahash functionto map keys to positions in an underlying storage structure. In Python, the built-in data structure that provides hash-table behavior is thedictionary, written with curly braces like {"a": 1, "b": 2}. Dictionaries store key- value pairs and are designed so that accessing a value by key, such as d["a"], is efficient on average.
Textbooks typically describe this expected efficiency as average-case constant time, often written as O(1), assuming a good hash function and a well-managed table size.
Tuples and lists are sequence types. Lists provide indexed access by integer position, not hashing by arbitrary keys. Tuples are immutable sequences and likewise do not provide key-based hashing semantics. "Array" is not the core built-in mapping structure in Python; while Python has an array module and NumPy has arrays, neither is the built-in hash table abstraction for general key-value storage.
Python dictionaries require keys to be hashable, meaning the key's hash value is stable during its lifetime (common examples: strings, numbers, tuples of hashable items). This requirement is directly tied to hash-table implementation. Dictionaries are used throughout computer science applications:
symbol tables in interpreters, caches and memoization, frequency counting, indexing, and implementing graphs via adjacency maps.
NEW QUESTION # 49
What is the component of the operating system that manages core system resources but allows no user access?
Answer: D
Explanation:
Thekernelis the central component of an operating system responsible for managing core system resources. It controls CPU scheduling, memory management, process creation and termination, device I/O coordination, and system calls-the controlled interface through which user programs request services. In operating systems textbooks, the kernel is described as running in a privileged mode (often called kernel mode or supervisor mode), which restricts direct user access for security and stability. User programs typically run in user mode and cannot directly manipulate hardware or critical OS structures; instead, they must request operations via system calls, which the kernel validates and executes.
This separation prevents accidental or malicious actions from crashing the entire system or compromising other processes. For example, a user application cannot directly write to arbitrary memory addresses or reprogram devices; the kernel mediates access and enforces protection boundaries. This model is foundational to modern OS design and underpins features like virtual memory, access control, and multitasking.
File Explorer and the user interface layer are user-facing components that provide interaction and file browsing; they are not the privileged core resource manager. "Device driver manager" is not typically the name of a single OS component; while drivers and driver subsystems exist, they operate under kernel control and are part of the kernel or closely integrated with it.
Therefore, the OS component that manages core resources while disallowing direct user access is the kernel.
NEW QUESTION # 50
Which character is used to indicate a range of values to be sliced into a new list?
Answer: A
Explanation:
In Python, slicing is the standard mechanism for extracting arangeof elements from a sequence type such as a list, string, or tuple. The character that signals a slice range is thecolon:. The general slice syntax is sequence
[start:stop:step]. Most commonly, you see sequence[start:stop], where start is the index to begin from (inclusive) and stop is the index to end at (exclusive). This "inclusive start, exclusive stop" rule is emphasized in textbooks because it makes slice lengths easy to reason about: when step is 1, the number of elements returned is stop - start.
For example, if items = ["a", "b", "c", "d", "e"], then items[1:4] returns ["b", "c", "d"]. Omitting start defaults to the beginning (items[:3] gives the first three elements), and omitting stop defaults to the end (items[2:] gives everything from index 2 onward). The optional step supports patterns like items[::2] for every other element, and negative steps can reverse a sequence (items[::-1]).
The other characters do not define ranges in Python slicing: , separates items (or indices in multidimensional structures), + is addition/concatenation, and = is assignment. The colon is the slicing operator that indicates a range.
NEW QUESTION # 51
How can a user subset a NumPy array bmi to only include values over 23?
Answer: B
Explanation:
NumPy supports a powerful technique calledBoolean indexing(also called Boolean masking) to filter arrays based on a condition. When you write bmi > 23, NumPy performs an element-wise comparison and produces a Boolean array of the same shape, containing True where the condition holds and False otherwise. Using that Boolean array inside square brackets, as in bmi[bmi > 23], tells NumPy to return a new 1D array containing only the elements whose mask value is True. This approach is heavily emphasized in scientific computing curricula because it expresses selection logic without explicit loops and runs efficiently in optimized compiled code.
Option B looks close but is not standard NumPy usage. The function commonly used is np.where(condition) or np.where(condition, x, y). While np.where(bmi > 23) can return indices, bmi.where(...) is not a NumPy array method; it is more associated with pandas objects. Options A and C are not valid NumPy APIs for filtering.
Boolean indexing is central in data analysis tasks such as removing invalid measurements, selecting a population subgroup, applying thresholds, and building feature subsets. It composes cleanly with vectorized computation, for example bmi[bmi > 23].mean(), enabling concise and high-performance numerical workflows.
NEW QUESTION # 52
Which file system is commonly used in Windows and supports file permissions?
Answer: C
Explanation:
Windows commonly uses the NTFS (New Technology File System) for internal drives and many external drives because it supports advanced features required for modern operating systems. One of the most important features is support forfile and folder permissionsvia Access Control Lists (ACLs). Permissions enable the OS to enforce security policies by controlling which users and groups can read, write, execute, modify, or delete specific resources. This is fundamental to multi-user security and is a standard topic in operating systems and security textbooks.
FAT32 is an older file system designed for simplicity and broad compatibility. It does not provide the same fine-grained permission model as NTFS, which is why it is often used for removable media where cross- platform compatibility matters more than access control. HFS+ is historically associated with Apple's macOS systems, and EXT4 is widely used on Linux. While these file systems have their own permission and feature models, they are not the common Windows default for permission-managed storage in typical Windows deployments.
NTFS also supports journaling (improving reliability after crashes), large file sizes, quotas, compression, and encryption features (through Windows facilities). In enterprise environments, NTFS permissions integrate with Windows authentication and directory services, enabling centralized user management. Therefore, for Windows systems requiring file permissions, NTFS is the correct answer.
NEW QUESTION # 53
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