P.S. Xhs1991がGoogle Driveで共有している無料かつ新しいFoundations-of-Computer-Scienceダンプ：https://drive.google.com/open?id=1BQtY69sTlFQGvtJmp8S0zwbhJmoPJeWE
我々のXhs1991サイトは一番高質量のFoundations-of-Computer-Science試験資料と行き届いたアフタサービスを提供して協力します。WGU Foundations-of-Computer-Science問題集は試験の範囲を広くカバーして、試験の通過率は高いです。他のサイトと比較して、我が社のFoundations-of-Computer-Science試験問題集を購買すると決定します。商品の税金について、この問題を心配できません。顧客の利益を保証するために、税金は弊社の方で支払います。
| Section | Objectives |
|---|---|
| Topic 1: Data Profiling | - Apply fundamental concepts and subsetting techniques to a dataset - Utilize a programming language to manipulate arrays and discover insights |
| Topic 2: Algorithm Efficiency | - Describe the relationships between algorithm complexity and data structures - Choose an appropriate sorting algorithm method based on a given scenario - Choose an appropriate algorithm searching method based on a given scenario |
| Topic 3: OS Fundamentals | - Demonstrate various techniques and tools to manage operating systems - Describe fundamental principles and core concepts of operating systems - Identify common privacy and security concepts that could be implemented in operating systems |
| Topic 4: Basic Program Design | - Explain how to store, access, and manipulate data in lists - Use functions, methods, and packages to leverage programming language - Identify variables and data types within a programming language |
>> Foundations-of-Computer-Science問題サンプル <<
WGUのFoundations-of-Computer-Science試験の合格書は君の仕事の上で更に一歩の昇進と生活条件の向上を助けられて、大きな財産に相当します。WGUのFoundations-of-Computer-Science認定試験はIT専門知識のレベルの考察として、とっても重要な地位になりつつます。Xhs1991は最も正確なWGUのFoundations-of-Computer-Science試験資料を追求しています。
質問 # 27
Which Python command can be used to display the results of calculations?
正解：D
解説：
In Python, the standard way to display output to the console is the built-in function print(). When a program performs calculations-such as arithmetic expressions, function results, or computed statistics-print() can be used to show those results to the user. For example, print(2 + 3) displays 5, and print(total / count) displays the computed average. Textbooks introduce print() early because it supports interactive learning, debugging, and communicating program behavior.
print() can display one or multiple items separated by commas, automatically converting them to string form.
It also supports formatting via f-strings (e.g., print(f"Sum = {s}")) and optional parameters like sep and end to control output formatting. This makes it versatile for reporting calculated values, intermediate steps in algorithms, and final program outputs.
The other options are not standard Python built-ins for output. compute(), result(), and solve() are not universally defined commands in Python; they might exist as user-defined functions or in specific libraries, but they are not the general command taught in textbooks for displaying results. Python follows a clear separation: expressions compute values; print() displays them.
Therefore, the correct answer is print(), as it is the primary mechanism for producing human-readable output from calculations in typical Python programs and coursework.
質問 # 28
What is another term for the inputs into a function?
正解：B
解説：
In programming, a function takes inputs, performs computation, and may return an output. The standard term for a function's inputs isarguments(also commonly discussed alongside the closely related termparameters).
Textbooks typically distinguish the two:parametersare the names listed in the function definition, while argumentsare the actual values supplied when the function is called. For example, in def f(x, y):, x and y are parameters. In the call f(3, 5), 3 and 5 are arguments. Many introductory materials use "arguments" informally to refer to the inputs overall, which matches the wording of this question.
Options A, B, and C do not fit the textbook definition. "Variables" is too broad; inputs can be literals, expressions, or variables, but the conceptual role is "arguments." "Procedures" are callable units of code (often used in some languages to mean functions without return values), not the inputs. "Outputs" refers to returned results, not what you pass in.
Understanding arguments is important because it connects to call semantics, scope, and correctness.
Different languages support positional arguments, keyword arguments, default values, and variadic arguments (e.g., *args, **kwargs in Python). This flexibility shapes API design and influences how programmers structure reusable code.
質問 # 29
What is the built-in data structure that implements a hash table in Python?
正解：D
解説：
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.
質問 # 30
What is the first step in the selection sort algorithm?
正解：A
解説：
Selection sort works by growing a sorted portion of the list one element at a time. The algorithm conceptually divides the array into two regions: asorted prefixon the left and anunsorted suffixon the right. At the beginning, the sorted prefix is empty and the entire list is unsorted. The first step is to consider position 0 as the target location for the smallest element. The algorithm scans the unsorted region (initially the whole list) to find the smallest valueand records its index. That action is exactly what option C describes: determine the lowest value starting from the first position.
After identifying the minimum element, selection sort swaps it into position 0 (if it isn't already there). Then it repeats the process for position 1, scanning the remaining unsorted suffix to find the next smallest element, swapping it into place, and so on. Textbooks emphasize that the key characteristic of selection sort is the repeated "select min (or max) from unsorted region and place it into the sorted region." Option A is not the standard first step; finding both min and max is unnecessary. Option B describes an unrelated swap that doesn't ensure progress toward sorting. Option D is not a "first step" but rather a different ordering goal; selection sort can be adapted for descending order, but the canonical version begins by selecting the minimum for the first position.
質問 # 31
The np_2d array stores information about multiple family members. Each row represents a different person, and the columns store family member attributes in the following order:
Age (years)
Weight (pounds)
Height (inches)
How is the weight of all family members selected from the np_2d array?
正解：C
解説：
In a 2D NumPy array, rows and columns represent different dimensions of the data. The indexing form array
[row_selection, column_selection] allows you to select entire rows, entire columns, or submatrices. The slice :
means "all indices along this dimension." Since each row corresponds to a family member (a person), selecting weights forallfamily members means selectingall rowsfor the weight column.
The problem states the columns are ordered as: Age (column 0), Weight (column 1), Height (column 2).
Therefore, the weight column has index 1. The expression np_2d[:, 1] uses : to take every row and 1 to take the second column, producing a 1D array (or a column view) containing the weight values for all people.
Option A, np_2d[:, 2], would select the height column, not weight. Option C, np_2d[2, :], selects the third row (the third person) and all columns-age, weight, and height for just that one person. Option D, np_2d[1, :], selects the second person's entire row.
This column selection technique is fundamental in data analysis because datasets are often stored as
"rows = observations, columns = features," and extracting a feature vector is a frequent operation before computing statistics or building models.
質問 # 32
......
Foundations-of-Computer-Science試験に合格したい場合、Foundations-of-Computer-Science練習問題は欠席できない基本的な試験資料です。 忠実なお客様からは、Foundations-of-Computer-Science練習教材の合格率がこれまでに98〜100％に達していることが証明されています。 また、Foundations-of-Computer-Science試験トレントの無料アップデートが1年間無料でメールボックスに送信されます。Foundations-of-Computer-Science練習資料の使用中に素晴らしい経験ができることを願っています。
Foundations-of-Computer-Science模擬モード: https://www.xhs1991.com/Foundations-of-Computer-Science.html
P.S. Xhs1991がGoogle Driveで共有している無料かつ新しいFoundations-of-Computer-Scienceダンプ：https://drive.google.com/open?id=1BQtY69sTlFQGvtJmp8S0zwbhJmoPJeWE