Go through AICPA PCEP-30-01 practice test and practice questions

Certified Entry-Level Python Programmer test Dumps

PCEP-30-01 test Format | Course Contents | Course Outline | test Syllabus | test Objectives

Exam Specification:

- test Name: Certified Entry-Level Python Programmer (PCEP-30-01)
- test Code: PCEP-30-01
- test Duration: 45 minutes
- test Format: Multiple-choice questions

Course Outline:

1. Introduction to Python Programming
- Overview of Python and its key features
- Installing Python and setting up the development environment
- Writing and executing Python programs

2. Python Syntax and Data Types
- Understanding Python syntax and code structure
- Working with variables, data types, and operators
- Using built-in functions and libraries

3. Control Flow and Decision Making
- Implementing control flow structures: if-else statements, loops, and conditional expressions
- Writing programs to solve simple problems using decision-making constructs

4. Data Structures in Python
- Working with lists, tuples, sets, and dictionaries
- Manipulating and accessing data within data structures

5. Functions and Modules
- Creating functions and defining parameters
- Importing and using modules in Python programs

6. File Handling and Input/Output Operations
- practicing from and writing to files
- Processing text and binary data

7. Exception Handling
- Handling errors and exceptions in Python programs
- Implementing try-except blocks and raising exceptions

8. Object-Oriented Programming (OOP) Basics
- Understanding the principles of object-oriented programming
- Defining and using classes and objects

Exam Objectives:

1. Demonstrate knowledge of Python programming concepts, syntax, and code structure.
2. Apply control flow structures and decision-making constructs in Python programs.
3. Work with various data types and manipulate data using built-in functions.
4. Use functions, modules, and libraries to modularize and organize code.
5. Perform file handling operations and input/output operations in Python.
6. Handle errors and exceptions in Python programs.
7. Understand the basics of object-oriented programming (OOP) in Python.

Exam Syllabus:

The test syllabus covers the following Topics (but is not limited to):

- Python syntax and code structure
- Variables, data types, and operators
- Control flow structures and decision-making constructs
- Lists, tuples, sets, and dictionaries
- Functions and modules
- File handling and input/output operations
- Exception handling
- Object-oriented programming (OOP) basics

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Python
PCEP-30-01
Certified Entry-Level Python Programmer
http://killexams.com/pass4sure/exam-detail/PCEP-30-01
Question: 34
A function definition starts with the keyword:
A. def
B. function
C. fun
Answer: A
Explanation:
Topic: def
Try it yourself:
def my_first_function():
print(�Hello�)
my_first_function() # Hello
https://www.w3schools.com/python/python_functions.asp
Question: 35
Consider the following code snippet:
w = bool(23)
x = bool(�)
y = bool(� �)
z = bool([False])
Which of the variables will contain False?
A. z
B. x
C. y
D. w
Answer: B
Explanation:
Topic: type casting with bool()
Try it yourself:
print(bool(23)) # True
print(bool(�)) # False
print(bool(� �)) # True
print(bool([False])) # True
The list with the value False is not empty and therefore it becomes True
The string with the space also contain one character
and therefore it also becomes True
The values that become False in Python are the following:
print(bool(�)) # False
print(bool(0)) # False
print(bool(0.0)) # False
print(bool(0j)) # False
print(bool(None)) # False
print(bool([])) # False
print(bool(())) # False
print(bool({})) # False
print(bool(set())) # False
print(bool(range(0))) # False
Question: 36
Assuming that the tuple is a correctly created tuple,
the fact that tuples are immutable means that the following instruction:
my_tuple[1] = my_tuple[1] + my_tuple[0]
A. can be executed if and only if the tuple contains at least two elements
B. is illegal
C. may be illegal if the tuple contains strings
D. is fully correct
Answer: B
Explanation:
Topics: dictionary
Try it yourself:
my_tuple = (1, 2, 3)
my_tuple[1] = my_tuple[1] + my_tuple[0]
# TypeError: �tuple� object does not support item assignment
A tuple is immutable and therefore you cannot
assign a new value to one of its indexes.
Question: 37
You develop a Python application for your company.
You have the following code.
def main(a, b, c, d):
value = a + b * c � d
return value
Which of the following expressions is equivalent to the expression in the function?
A. (a + b) * (c � d)
B. a + ((b * c) � d)
C. None of the above.
D. (a + (b * c)) � d
Answer: D
Explanation:
Topics: addition operator multiplication operator
subtraction operator operator precedence
Try it yourself:
def main(a, b, c, d):
value = a + b * c � d # 3
# value = (a + (b * c)) � d # 3
# value = (a + b) * (c � d) # -3
# value = a + ((b * c) � d) # 3
return value
print(main(1, 2, 3, 4)) # 3
This question is about operator precedence
The multiplication operator has the highest precedence and is therefore executed first.
That leaves the addition operator and the subtraction operator
They both are from the same group and therefore have the same precedence.
That group has a left-to-right associativity.
The addition operator is on the left and is therefore executed next.
And the last one to be executed is the subtraction operator
Question: 38
Which of the following variable names are illegal? (Select two answers)
A. TRUE
B. True
C. true
D. and
Answer: B, D
Explanation:
Topics: variable names keywords True and
Try it yourself:
TRUE = 23
true = 42
# True = 7 # SyntaxError: cannot assign to True
# and = 7 # SyntaxError: invalid syntax
You cannot use keywords as variable names.
Question: 39
Which of the following for loops would output the below number pattern?
11111
22222
33333
44444
55555
A. for i in range(0, 5):
print(str(i) * 5)
B. for i in range(1, 6):
print(str(i) * 5)
C. for i in range(1, 6):
print(i, i, i, i, i)
D. for i in range(1, 5):
print(str(i) * 5)
Answer: B
Explanation:
Topics: for range() str() multiply operator string concatenation
Try it yourself:
for i in range(1, 6):
print(str(i) * 5)
"""
11111
22222
33333
44444
55555
"""
print(��-�)
for i in range(0, 5):
print(str(i) * 5)
"""
00000
11111
22222
33333
44444
"""
print(��-�)
for i in range(1, 6):
print(i, i, i, i, i)
"""
1 1 1 1 1
2 2 2 2 2
3 3 3 3 3
4 4 4 4 4
5 5 5 5 5
"""
print(��-�)
for i in range(1, 5):
print(str(i) * 5)
"""
11111
22222
33333
44444
"""
You need range (1, 6)
because the start value 1 is inclusive and the end value 6 is exclusive. To get the same numbers next to each other
(without a space between them) you need to make a string and then use the multiply operator string concatenation
The standard separator of the print() function is one space. print(i, i, i, i, i) gives you one space between each number.
It would work with print(i, i, i, i, i, sep=�) but that answer is not offered here.
Question: 40
The digraph written as #! is used to:
A. tell a Unix or Unix-like OS how to execute the contents of a Python file.
B. create a docstring.
C. make a particular module entity a private one.
D. tell an MS Windows OS how to execute the contents of a Python file.
Answer: A
Explanation:
Topics: #! shebang
This is a general UNIX topic.
Best read about it here:
https://en.wikipedia.org/wiki/Shebang_(Unix)
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PCEP-30-01 Python PDF Questions

PCEP-30-01 Python PDF Questions :: Article Creator

Circuit Simulation In Python

the usage of SPICE to simulate an electrical circuit is a common adequate observe in engineering that “SPICEing a circuit” is a perfectly valid phrase within the lexicon. SPICE as a software tool has been around due to the fact the 70s, and its open source nature means there are extra SPICE tools round now to count. It additionally capacity it is easy ample to use with other application as smartly, like integrating LTspice with Python for some unique signal processing circuit simulation.

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This venture is basically price a glance when you have any activity in sign processing (digital or analog) or although you have got never heard of SPICE earlier than and want a less complicated manner of simulating a circuit before prototyping one on a breadboard.

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