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Title: 素敵なPCEP-30-02日本語受験教科書試験-試験の準備方法-更新するPCEP-30-02日本語解説集 [Print This Page]
Author: calebda456    Time: 12 hour before
Title: 素敵なPCEP-30-02日本語受験教科書試験-試験の準備方法-更新するPCEP-30-02日本語解説集
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Python Institute PCEP-30-02 認定試験の出題範囲：
トピック出題範囲
トピック 1
  • パラメータ、引数、スコープ。また、再帰、例外階層、例外処理などもカバーしています。
トピック 2
  • コンピュータ プログラミングの基礎: この試験セクションでは、インタープリタ、コンパイラ、構文、セマンティクスなどの基本的な概念を扱います。キーワード、命令、インデント、コメント、ブール値、整数、浮動小数点数、文字列、変数、命名規則など、Python の基本を扱います。最後に、算術、文字列、割り当て、ビット単位、ブール値、関係、および入出力操作を扱います。
トピック 3
  • 関数と例外：この試験の部分では、関数と呼び出しの定義をカバーします。
トピック 4
  • ループ: while、for、range()、ループ制御、ループのネスト。

>> PCEP-30-02日本語受験教科書 <<
最新のPython Institute PCEP-30-02試験の問題集PCEP-30-02試験に出席するための勉強は、メソッドに注意を払います。良い方法は、多くの場合、半分の労力で結果をもたらすことができます。したがって、私たちは試験の時間であり、また受験スキルを知っている必要があります。 PCEP-30-02クイズガイドは過去数年間の要約に基づいており、回答には特定のルールがあり、主観的または客観的な質問のいずれかが見つかります。共通する類似の対応モジュールで見つけることができます。このため、PCEP-30-02試験のダンプでは、PCEP-30-02試験に合格するのに役立つ資格試験のいくつかのタイプの質問をまとめています。
Python Institute PCEP - Certified Entry-Level Python Programmer 認定 PCEP-30-02 試験問題 (Q22-Q27):質問 # 22
Insert the code boxes in the correct positions in order to build a line of code which asks the user for an integer value and assigns it to the depth variable.
(Note: some code boxes will not be used.)

正解：
解説：

Explanation:

One possible way to insert the code boxes in the correct positions in order to build a line of code which asks the user for an integer value and assigns it to the depth variable is:
depth = int(input("Enter the immersion depth: "))
This line of code uses the input function to prompt the user for a string value, and then uses the int function to convert that string value into an integer number. The result is then assigned to the variable depth.
You can find more information about the input and int functions in Python in the following references:
* [Python input() Function]
* [Python int() Function]

質問 # 23
What is true about exceptions and debugging? (Select two answers.)
正解：A、B
解説：
Explanation
Exceptions and debugging are two important concepts in Python programming that are related to handling and preventing errors. Exceptions are errors that occur when the code cannot be executed properly, such as syntax errors, type errors, index errors, etc. Debugging is the process of finding and fixing errors in the code, using various tools and techniques. Some of the facts about exceptions and debugging are:
A tool that allows you to precisely trace program execution is called a debugger. A debugger is a program that can run another program step by step, inspect the values of variables, set breakpoints, evaluate expressions, etc. A debugger can help you find the source and cause of an error, and test possible solutions. Python has a built-in debugger module called pdb, which can be used from the command line or within the code. There are also other third-party debuggers available for Python, such as PyCharm, Visual Studio Code, etc12 If some Python code is executed without errors, this does not prove that there are no errors in it. It only means that the code did not encounter any exceptions that would stop the execution. However, the code may still have logical errors, which are errors that cause the code to produce incorrect or unexpected results. For example, if you write a function that is supposed to calculate the area of a circle, but you use the wrong formula, the code may run without errors, but it will give you the wrong answer. Logical errors are harder to detect and debug than syntax or runtime errors, because they do not generate any error messages. You have to test the code with different inputs and outputs, and compare them with the expected results34 One try-except block may contain more than one except branch. A try-except block is a way of handling exceptions in Python, by using the keywords try and except. The try block contains the code that may raise an exception, and the except block contains the code that will execute if an exception occurs. You can have multiple except blocks for different types of exceptions, or for different actions to take. For example, you can write a try-except block like this:
try: # some code that may raise an exception except ValueError: # handle the ValueError exception except ZeroDivisionError: # handle the ZeroDivisionError exception except: # handle any other exception This way, you can customize the error handling for different situations, and provide more informative messages or alternative solutions5 The default (anonymous) except branch can be the last branch in the try-except block. The default except branch is the one that does not specify any exception type, and it will catch any exception that is not handled by the previous except branches. The default except branch can be the last branch in the try-except block, but it cannot be the first or the only branch. For example, you can write a try-except block like this:
try: # some code that may raise an exception except ValueError: # handle the ValueError exception except: # handle any other exception This is a valid try-except block, and the default except branch will be the last branch. However, you cannot write a try-except block like this:
try: # some code that may raise an exception except: # handle any exception This is an invalid try-except block, because the default except branch is the only branch, and it will catch all exceptions, even those that are not errors, such as KeyboardInterrupt or SystemExit. This is considered a bad practice, because it may hide or ignore important exceptions that should be handled differently or propagated further. Therefore, you should always specify the exception types that you want to handle, and use the default except branch only as a last resort5 Therefore, the correct answers are A. A tool that allows you to precisely trace program execution is called a debugger. and C. One try-except block may contain more than one except branch.

質問 # 24
Drag and drop the conditional expressions to obtain a code which outputs * to the screen.
(Note: some code boxes will not be used.)

正解：
解説：

Explanation

One possible way to drag and drop the conditional expressions to obtain a code which outputs * to the screen is:
if pool > 0:
print("*")
elif pool < 0:
print("**")
else:
print("***")
This code uses the if, elif, and else keywords to create a conditional statement that checks the value of the variable pool. Depending on whether the value is greater than, less than, or equal to zero, the code will print a different pattern of asterisks to the screen. The print function is used to display the output. The code is indented to show the blocks of code that belong to each condition. The code will output * if the value of pool is positive, ** if the value of pool is negative, and *** if the value of pool is zero.
You can find more information about the conditional statements and the print function in Python in the following references:
[Python If ... Else]
[Python Print Function]
[Python Basic Syntax]

質問 # 25
What is true about tuples? (Select two answers.)
正解：C、D
解説：
Tuples are one of the built-in data types in Python that are used to store collections of data. Tuples have some characteristics that distinguish them from other data types, such as lists, sets, and dictionaries. Some of these characteristics are:
* Tuples are immutable, which means that their contents cannot be changed during their lifetime. Once a tuple is created, it cannot be modified, added, or removed. This makes tuples more stable and reliable than mutable data types. However, this also means that tuples are less flexible and dynamic than mutable data types. For example, if you want to change an element in a tuple, you have to create a new tuple with the modified element and assign it to the same variable12
* Tuples are ordered, which means that the items in a tuple have a defined order and can be accessed by using their index. The index of a tuple starts from 0 for the first item and goes up to the length of the tuple minus one for the last item. The index can also be negative, in which case it counts from the end of the tuple. For example, if you have a tuple t = ("a", "b", "c"), then t[0] returns "a", and t
[-1] returns "c"12
* Tuples can be indexed and sliced like lists, which means that you can get a single item or a sublist of a tuple by using square brackets and specifying the start and end index. For example, if you have a tuple t
= ("a", "b", "c", "d", "e"), then t[2] returns "c", and t[1:4] returns ("b", "c", "d"). Slicing does not raise any exception, even if the start or end index is out of range. It will just return an empty tuple or the closest possible sublist12
* Tuples can contain any data type, such as strings, numbers, booleans, lists, sets, dictionaries, or even other tuples. Tuples can also have duplicate values, which means that the same item can appear more than once in a tuple. For example, you can have a tuple t = (1, 2, 3, 1, 2), which contains two 1s and two
2s12
* Tuples are written with round brackets, which means that you have to enclose the items in a tuple with parentheses. For example, you can create a tuple t = ("a", "b", "c") by using round brackets. However, you can also create a tuple without using round brackets, by just separating the items with commas. For example, you can create the same tuple t = "a", "b", "c" by using commas. This is called tuple packing, and it allows you to assign multiple values to a single variable12
* The len() function can be applied to tuples, which means that you can get the number of items in a tuple by using the len() function. For example, if you have a tuple t = ("a", "b", "c"), then len(t) returns 312
* An empty tuple is written as (), which means that you have to use an empty pair of parentheses to create a tuple with no items. For example, you can create an empty tuple t = () by using empty parentheses.
However, if you want to create a tuple with only one item, you have to add a comma after the item, otherwise Python will not recognize it as a tuple. For example, you can create a tuple with one item t = ("a",) by using a comma12 Therefore, the correct answers are A. Tuples are immutable, which means that their contents cannot be changed during their lifetime. and D. Tuples can be indexed and sliced like lists.
Reference: Python Tuples - W3SchoolsTuples in Python - GeeksforGeeks

質問 # 26
A program written in a high-level programming language is called:
正解：A

質問 # 27
......
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Author: josephs619    Time: 1 hour before
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