Python Institute PCAP Practice Exam – NEW

Certified Associate in Python Programming certification focuses on the Object-Oriented Programming approach to Python, and shows that the individual is familiar with the more advanced aspects of programming, including the essentials of OOP, the essentials of modules and packages, the exception handling mechanism in OOP, advanced operations on strings, list comprehensions, lambdas, generators, closures, and file processing.

PCAP certification gives its holders confidence in their programming skills, helps them stand out in the job market, and gives them a head start on preparing for and advancing to the professional level.

Certified Associate in Python Programming certification is a professional, high-stakes credential that measures the candidate’s ability to perform intermediate-level coding tasks in the Python language, including the ability to design, develop, debug, execute, and refactor multi-module Python programs, as well as measures their skills and knowledge related to analyzing and modeling real-life problems in OOP categories with the use of the fundamental notions and techniques available in the object-oriented approach.

The PCAP certification shows that the individual is familiar with the following concepts: modules, packages, and PIP, character encoding, strings and string processing, generators, iterators, closures, files, file streams, and file processing, exception hierarchies, and exception classes and objects, working with selected Standard Library modules, and the fundamentals of the Object-Oriented Programming (OOP) approach.

PCAP: Exam Information

Exam Duration: 65 minutes,

NDA/Tutorial: 10 minutes

Number of Questions : 40

Format : single- and multiple-select questions | Python 3.x

Passing Score  :  70%

Languages : English

Who this course is for:

• aspiring programmers
• learners and career changers
• software developer, data analyst, or tester.
• industry professionals
• aspiring programmers and industry professionals looking to build a solid foundation for further studies in more specialized areas, such as testing, data analytics, machine learning, IoT, and web development;
• team leaders, product managers, and project managers who want to understand the terminology and processes in the software development cycle to more effectively manage and communicate with production and development teams.