BONUS!!! Download part of Pass4cram Foundations-of-Computer-Science dumps for free: https://drive.google.com/open?id=1XFyVawS8sqVFSnbWHc6H22jJdhLh3kwC
We believe that if you trust our Foundations-of-Computer-Science exam simulator and we will help you obtain Foundations-of-Computer-Science certification easily. After purchasing, you can receive our Foundations-of-Computer-Science training material and download within 10 minutes. Besides, we provide one year free updates of our Foundations-of-Computer-Science learning guide for you and money back guaranteed policy so that we are sure that it will give you free-shopping experience. Now choose our Foundations-of-Computer-Science practic braindump, you will not regret.
| Section | Weight | Objectives |
|---|---|---|
| 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% | - Programming paradigms - Basic syntax and control structures - Software development lifecycle - Testing and debugging fundamentals |
| Discrete Mathematics & Logic | 25% | - Proof techniques and mathematical induction - Set theory, relations, functions - Boolean algebra and digital logic - Propositional and predicate logic |
| Algorithms & Complexity | 25% | - Algorithm design and analysis - Sorting and searching algorithms - Big O notation, time and space complexity - Recursion and iterative structures |
| Computer Architecture & Organization | 15% | - CPU, memory, I/O systems - Von Neumann architecture - Memory hierarchy and performance - Instruction sets and execution cycles |
>> Foundations-of-Computer-Science Exam Preview <<
Our product for the Foundations-of-Computer-Science exam is compiled by the skilled professionals who have studyed the exam for years, therefore the quality of the practic materials are quite high, it will help you to pass the exam with ease. Free update for the latested version within one year are available. And the questions and answers of the Foundations-of-Computer-Science Exam are from the real exam, and the answers are also verified by the experts, and money back guarantee. The payment of the Foundations-of-Computer-Science exam is also safe for our customers, we apply online payment with credit card, it can ensure the account safety of our customers.
NEW QUESTION # 18
What is another term for the inputs into a function?
Answer: A
NEW QUESTION # 19
Which action is taken if the first number is the lowest value in a selection sort?
Answer: D
Explanation:
Selection sort works by maintaining a boundary between a sorted prefix and an unsorted suffix. On each pass, the algorithm finds the smallest value in the unsorted portion and places it into the first position of that unsorted portion (which is also the next position in the sorted prefix). This is usually done by swapping the element at the minimum's index with the element at the boundary index (the "first unsorted element"). That description matches option D.
If the first element of the unsorted portion is already the smallest, then the minimum's index equals the boundary index. In textbook implementations, the algorithm may still execute a swap operation, but it becomes a swap of an element with itself (a no-op), leaving the array unchanged. Many implementations include a small optimization: perform the swap only if the minimum index differs from the boundary index.
Either way, conceptually the "action taken" by selection sort is still "swap the selected minimum into the first unsorted position," which is exactly what option D states.
Options A and B are unrelated to sorting; selection sort never increases or duplicates values. Option C is incorrect because selection sort swaps the minimum with thefirstunsorted element, not the last. After the swap (or no-op), the sorted region grows by one element, and the algorithm repeats from the next boundary position.
This logic is fundamental for understanding how selection sort ensures correctness: after pass i, the smallest i+1 elements are fixed in their final positions.
NEW QUESTION # 20
What is the name of the tool that can allow a device to run more than one operating system at a time as virtual machines?
Answer: B
NEW QUESTION # 21
How is the NumPy package imported into a Python session?
Answer: D
Explanation:
In Python, external libraries are brought into a program using the import statement. NumPy, which provides the ndarray type and a large collection of numerical computing functions, is conventionally imported with an alias for convenience. The standard and widely taught pattern is import numpy as np. This imports the numpy module and binds it to the shorter name np, making code more readable and reducing repeated typing, especially in mathematical expressions such as np.array(...), np.mean(...), or np.dot(...).
Option A is incorrect because the module name is numpy, not num_py. Options C and D resemble syntax from other languages (for example, "using" in C# or "include" in C/C++), but they are not valid Python import mechanisms. Python's module system is based on imports, and the aliasing feature (as np) is built into the import statement.
Textbooks also emphasize that importing a package requires that it be installed in the active Python environment. If NumPy is not installed, import numpy as np will raise an ImportError (or ModuleNotFoundError in modern Python). Once imported, the alias np is used consistently in scientific computing materials, notebooks, and professional data analysis codebases, which is why this option is considered the correct and expected answer.
NEW QUESTION # 22
Which order is impossible when traversing a binary tree using depth first search?
Answer: B
Explanation:
Depth-first search (DFS) explores a tree by going as deep as possible along a branch before backtracking. In binary trees, DFS gives rise to the classic traversal orderspre-order,in-order, andpost-order, each defined by when you "visit" the node relative to its left and right subtrees. Pre-order visits the node first, then left subtree, then right subtree. In-order visits left subtree, then the node, then right subtree. Post-order visits left subtree, then right subtree, then the node. These are all DFS-based because they fully explore subtrees before moving sideways to another branch.
Level-order traversalis different: it visits nodes layer by layer from the root outward (all nodes at depth 0, then depth 1, then depth 2, etc.). This is a hallmark ofbreadth-first search (BFS), not DFS. Textbooks emphasize this distinction because DFS and BFS have different properties: BFS naturally finds shortest paths in unweighted graphs and produces level-order traversal in trees, while DFS is useful for tasks like topological sorting, cycle detection, and exploring structure recursively.
Therefore, the traversal order that is impossible to produce as a depth-first traversal of a binary tree is level-order traversal. The DFS orders (pre-, in-, post-) are all achievable by depth-first strategies, typically implemented recursively or with an explicit stack.
NEW QUESTION # 23
......
Several advantages we now offer for your reference. On the one hand, our Foundations-of-Computer-Science learning questions engage our working staff in understanding customers’ diverse and evolving expectations and incorporate that understanding into our strategies, thus you can 100% trust our Foundations-of-Computer-Science Exam Engine. On the other hand, the professional Foundations-of-Computer-Science study materials determine the high pass rate. According to the research statistics, we can confidently tell that 99% candidates have passed the Foundations-of-Computer-Science exam.
Foundations-of-Computer-Science Test Papers: https://www.pass4cram.com/Foundations-of-Computer-Science_free-download.html
BTW, DOWNLOAD part of Pass4cram Foundations-of-Computer-Science dumps from Cloud Storage: https://drive.google.com/open?id=1XFyVawS8sqVFSnbWHc6H22jJdhLh3kwC