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| Certification Vendor: | Python Institute |
|---|---|
| Exam Name: | PCPP1: Certified Professional in Python Programming 1 |
| Exam Number: | PCPP-32-101 |
| Exam Price: | USD 195 (varies by region/testing partner) |
| Available Languages: | English |
| Exam Duration: | 65 minutes |
| Certificate Validity Period: | Lifetime |
| Exam Format: | Code completion, Multiple response, Multiple choice, Code analysis, Debugging |
| Passing Score: | 70% |
| Real Exam Qty: | Approximately 45 |
| Related Certifications: | PCAP โ Certified Associate in Python Programming PCPP2 โ Certified Professional in Python Programming 2 |
| Recommended Training: | OpenEDG Python courses (official learning platform) Python Institute Training Resources |
| Exam Registration: | Pearson VUE (official exam delivery partner where applicable) Python Institute Official Certification Page |
| Sample Questions: | Python Institute PCPP-32-101 Sample Questions |
| Exam Way: | Online proctored exam or authorized test center delivery (depending on region/provider) |
| Pre Condition: | Recommended prerequisite: PCAP โ Certified Associate in Python Programming (PCAP-31-0xx series) or equivalent Python programming experience |
| Official Syllabus URL: | https://pythoninstitute.org/pcpp1 |
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Python Institute PCPP-32-101 (PCPP1) exam is a certification program designed for individuals who want to demonstrate their expertise in Python programming. PCPP-32-101 exam evaluates the candidate's ability to write and maintain Python code, as well as their knowledge of the programming language's features and syntax. It covers a broad range of topics, including data types, control structures, functions, modules, and object-oriented programming concepts.
NEW QUESTION # 48
Select the true statements related to PEP 8 naming conventions. (Select two answers.)
Answer: A,C
Explanation:
Option A is true because PEP 8 recommends that function and variable names should be lowercase, with words separated by underscores .
Option D is true because PEP 8 recommends that constants should be written in all capital letters with words separated by underscores .
PEP 8 is the official style guide for Python code. It provides guidelines for how to write readable code that follows consistent naming conventions. The aim of PEP 8 is to improve the readability of Python code and make it easier to understand and maintain.
According to PEP 8, variable and function names should be written in all lower-case letters with words separated by underscores, as stated in A. Constants, which are variables whose value is expected to remain constant throughout the code, should be written in all upper-case letters with words separated by underscores, as stated in D.
References:
PEP 8 -- Style Guide for Python Code: https://www.python.org/dev/peps/pep-0008/ Python Documentation: https://docs.python.org/3/tutorial/classes.html#classmethods-and-staticmethods
NEW QUESTION # 49
Analyze the following function and choose the statement that best describes it.
Answer: C
Explanation:
Explanation
In the given code snippet, the repeat function is a decorator that takes an argument num_times specifying the number of times the decorated function should be called. The repeat function returns an inner function wrapper_repeat that takes a function func as an argument and returns another inner function wrapper that calls func num_times times.
The provided code snippet represents an example of a decorator that accepts its own arguments.
The @decorator_function syntax is used to apply the decorator_function to the some_function function.
The decorator_function takes an argument arg1 and defines an inner function wrapper_function that takes the original function func as its argument. The wrapper_function then returns the result of calling func, along with the arg1 argument passed to the decorator_function.
Here is an example of how to use this decorator with some_function:
@decorator_function("argument 1")
defsome_function():
return"Hello world"
When some_function is called, it will first be passed as an argument to the decorator_function.
The decorator_function then adds the string "argument 1" to the result of calling some_function() and returns the resulting string. In this case, the final output would be "Hello world argument 1".
NEW QUESTION # 50
Select the true statements about the following invocation:
(Select two answers.)
Answer: A,D
Explanation:
A). It addresses a service deployed at localhost (the host where the code is run).
This statement is true because localhost is a special hostname that refers to the local machine or the current host where the code is run. It is equivalent to using the IP address 127.0.0.1, which is the loopback address of the network interface. By using localhost as the hostname, the invocation addresses a service that is deployed on the same machine as the client.
D). It addresses a service listening at port 3000.
This statement is true because port 3000 is the part of the URL that follows the colon after the hostname. It specifies the port number where the service is listening for incoming requests. A port number is a 16-bit integer that identifies a specific process or application on a host. By using port 3000, the invocation addresses a service that is listening at that port.
B). It addresses a service whose timeout is set to 3000 ms.
This statement is false because timeout is not a part of the URL, but a parameter that can be passed to the requests.get () function in Python. Timeout specifies how long to wait for the server to send data before giving up. It is measured in seconds, not milliseconds. By using timeout=3, the invocation sets the timeout to 3 seconds, not 3000 ms.
C). It addresses a service located at the following address local.host.com.
This statement is false because local.host.com is not the same as localhost. Local.host.com is a fully qualified domain name (FQDN) that consists of three parts: local, host, and com. It requires DNS resolution to map it to an IP address. Localhost, on the other hand, is a special hostname that does not require DNS resolution and always maps to 127.0.0.1. By using localhost as the hostname, the invocation does not address a service located at local.host.com.
References:
https://docs.python.org/3/library/requests.html : https://en.wikipedia.org/wiki/Localhost : https://en.
wikipedia.org/wiki/Port_(computer_networking) : https://en.wikipedia.org/wiki/Fully_qualified_domain_name
NEW QUESTION # 51
Look at the following examples of comments and docstrings in PythonSelect the ones that are useful and compliant with PEP 8 recommendations (Select the two best answers.) A)
Answer: A,C
Explanation:
Explanation
According to PEP 8 recommendations, the two best options are Option B and Option D.
Option B follows PEP 8's suggestion that all lines should be limited to 79 characters and for longer blocks of text like docstrings or comments, the length should be limited to 72 characters1. Option D follows PEP 8's conventions for writing good documentation strings (a.k.a. "docstrings") which are immortalized in PEP
257. It suggests writing docstrings for all public modules, functions, classes, and methods2.
NEW QUESTION # 52
Which of the following types cannot be pickled?
Answer: C
Explanation:
The correct answer is B because Python's pickle module can serialize many built-in data types, including integers, floating-point numbers, complex numbers, strings, bytes, bytearrays, booleans, and None. However, it does not serialize the actual implementation or definition body of functions and classes. Top-level functions and classes may sometimes be pickled by reference using their fully qualified names, but their code definitions are not stored inside the pickle byte stream. This distinction matters: pickle records enough information to locate an object again during unpickling, but it does not preserve source code, nested definitions, lambda functions, or dynamically created definitions in a portable way. Therefore, "function and class definitions" is the option that cannot truly be pickled as definitions.
NEW QUESTION # 53
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