What is the duration, language, and format of GPYC : GIAC Python Coder Exam
- Length of Examination: 120 minutes
- Passing score: 67%
- Format: Multiple choices, multiple answers
- Language: GPYC : GIAC Python Coder offered in English (U.S.)
- Number of Questions: 75
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GPYC Exam Details
The GIAC GPYC evaluation is a proctored test which can be taken either online or in a valid testing center. Overall, it includes 75 questions. While the vendor doesn’t mention how the inquiries are structured, still, the exam-takers should expect to face a quite difficult exam that will take them through different types of questions. The allotted time for finalizing the whole testing procedure is 2 hours. During this time, the examinees will need to answer correctly to as many questions as possible and obtain a minimum passing score of 67%. The last thing to know - the registration fee for taking the official exam is $1,999.
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Topics of GPYC : GIAC Python Coder Exam
Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our GPYC Dumps will include the following topics:
1. Control Structures and Iteration
- An ability to create and analyze simple control structures, including conditionals (if/else/elif) and for/while loops using Python.
2. Creation of Executables
-An understanding of creating a Python executable for Windows clients with a focus on penetration testing. This includes an understanding of backdoor functionality, the conversion of a Python program to an executable file, and using Python to create an executable that will evade most modern anti-virus signatures.
3. Data Analysis with Python
- Ability to use Python for various data analysis techniques including parsing binary data with the struct module, common file formats, log analysis and statistics with freq.py, counters and sets, long tail and short-tail analysis.
4. Data Structures
- An ability to create and manipulate variable types and data structures, including bytes, byte arrays, byte encoded unicode characters using UTF-8 and Latin-1, integers, Python 3 strings, sets and sequential data structures, including dictionaries, lists, and tuples.
5. Database Interaction
- An understanding how to create a Python program to query databases using SQL libraries.
6. Exception Handling
-An understanding of Python exception handling capabilities, and how to build these into a program.
7. Functions, Classes and Objects
- An ability to demonstrate an understanding of Python functions, classes, and object oriented programming.
8. Network Interfaces
- An ability to implement TCP and UDP network based communications using Pythons socket module.
9. Packet Analysis with Python
- An understanding how to use extended functionality of Python and Scapy to create, read, analyze, and manipulate captured network traffic.
10. Python Basics
- An ability to implement the more fundamental elements of Python, including creating, debugging and executing a program, and user/file input and output.
11. Regular Expressions
-An understanding of regular expressions, and how to implement them in searches with Python.
12. Website Interaction
- An understanding how to use Python as a “browser” to interact with URLs and websites, handle cookies, and manipulate or capture traffic.
Reference: https://www.giac.org/certification/python-coder-gpyc
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GIAC GPYC Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Security-Oriented Python Usage | - Input validation and sanitization - Secure coding practices |
| Topic 2: Data Structures and Algorithms in Python | - Lists, dictionaries, sets, tuples - Algorithmic thinking and problem solving |
| Topic 3: Scripting and Automation | - File handling and system automation - Task automation with Python libraries |
| Topic 4: Debugging and Code Analysis | - Code troubleshooting techniques - Error handling and exceptions |
| Topic 5: Python Programming Fundamentals | - Core syntax and language constructs - Data types and control flow |
| Topic 6: Networking and Web Interaction | - Socket programming basics - HTTP requests and APIs |







