PCAP-31-03 is the new updated version of the PCAP – Certified Associate in Python Programming certification exam. The PCAP-31-02 exam will be retired on January 1, 2021. PCAP-31-02 exam registrations will be closed on December 1, 2020. Passcert new released PCAP-31-03 Dumps for a successful preparation of PCAP-31-03 Certification Exam.We guarantees that after using our PCAP-31-03 Dumps, you will be prepared to take and pass your Python Institute PCAP-31-03 exam in a easy way.

PCAP – Certified Associate in Python Programming certification is a professional credential that measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming.

PCAP – Certified Associate in Python Programming certification shows that the individual is familiar with general computer programming concepts like conditional execution, loops, Python programming language syntax, semantics, and the runtime environment, as well as with general coding techniques and Object-Oriented Programming.

Credential Name: PCAP – Certified Associate in Python Programming

Exam Code/Current Exam Version: PCAP-31-02 (Pearson VUE, retiring), PCAP-31-03 (Pearson VUE/OnVUE online proctoring)

Duration: 65 minutes (exam) + 10 minutes (Non-Disclosure Agreement/Tutorial)

Number of Questions: 40

Format: Single-choice and multiple-choice questions | Python 3.x

Passing Score: 70% (PCAP-31-02, PCAP-31-03)

Language: English

Full Exam Price: USD 295 (check available discounts)

Delivery Channel: Pearson VUE Testing Centers (PCAP-31-02, PCAP-31-03), OnVUE online proctoring from Pearson VUE (PCAP-31-03)

The exam is available through the network of 5,000 Pearson VUE Testing Centers worldwide, as well as the OnVUE Online Proctoring system from Pearson VUE.

Modules and Packages (12%) 

Exceptions (14%)

Strings (18%) 

Object-Oriented Programming (34%)

Miscellaneous (List comprehensions, lambdas, closures, and I/O operations) (22%).

1. The fundamentals of computer programming, i.e. how the computer works, how the program is executed, how the programming language is defined and constructed, what the difference is between compilation and interpretation, what Python is, how it is positioned among other programming languages, and what distinguishes the different versions of Python;

2. The basic methods of formatting and outputting data offered by Python, together with the primary kinds of data and numerical operators, their mutual relations and bindings; the concept of variables and variable naming conventions; the assignment operator, the rules governing the building of expressions; the inputting and converting of data;

3. Boolean values to compare difference values and control the execution paths using the if and if-else instructions; the utilization of loops (while and for) and how to control their behavior using the break and continue instructions; the difference between logical and bitwise operations; the concept of lists and list processing, including the iteration provided by the for loop, and slicing; the idea of multi-dimensional arrays;

4. The defining and using of functions – their rationale, purpose, conventions, and traps; the concept of passing arguments in different ways and setting their default values, along with the mechanisms of returning the function’s results; name scope issues; new data aggregates: tuples and dictionaries, and their role in data processing;

5. Python modules: their rationale, function, how to import them in different ways, and present the content of some standard modules provided by Python; the way in which modules are coupled together to make packages; the concept of an exception and Python’s implementation of exceptions, including the try-except instruction, with its applications, and the raise instruction; strings and their specific methods, together with their similarities and differences compared to lists;

6. The fundamentals of OOP (Object Oriented Programming) and the way they are adopted in Python, showing the difference between OOP and the classical, procedural approach; the standard objective features: inheritance, abstraction, encapsulation, and polymorphism, along with Python-specific issues like instance vs. class variables, and Python’s implementation of inheritance; objective nature of exceptions; Python’s generators (the yield instruction) and closures (the lambda keyword); the means Python developers can use to process (create, read, and write) files.