Python PCEP - Certified Entry-Level Programmer Practice Exam

Description

Python PCEP Certified Entry-Level Programmer : Practice Exam - Carefully selected PCEP Exam Questions to help you Pass on your first attempt. 301 Unique Questions with Details Explanation.

If you are planning to take Python PCEP Certified Entry-Level Programmer : Practice Exam  and want to see what kind of questions are coming in the PCEP - Real Exam, these  practice questions are the best for you.

The "PCEP - Certified Entry-Level Python Programmer - Exams" course is an intensive preparatory guide designed for individuals who are aspiring to earn the Python Institute's PCEP certification. The course is equipped with a plethora of mock exams that accurately emulate the style, structure, and difficulty of the real certification exam, thereby providing learners with an authentic examination experience.

This course covers a broad range of topics, in accordance with the PCEP examination syllabus. These include fundamentals of Python programming, data types, loops, functions, modules, and file operations, among others. The primary focus of the course is to enable learners to solve real-world problems using Python programming.

The mock exams are composed of situational and problem-solving questions, encouraging learners to apply theoretical knowledge to practical scenarios. This method of learning ensures a deep understanding of Python programming concepts and reinforces the ability to apply these concepts effectively.

Each question in the mock exams is accompanied by a comprehensive explanation of the correct answer. This not only provides clarity on the underlying concepts but also aids in identifying areas of weakness for focused improvement.

By taking this course, learners can gauge their readiness for the actual PCEP certification exam, gaining the confidence needed to excel. This course is an excellent resource for anyone aiming to hone their Python programming skills and successfully attain the PCEP certification.

Exam details:

• Exam Name: PCEP Certified Entry-Level Python Programmer

• Exam Code: PCEP-30-01

• Exam Level: Entry

• Pre-requisites: None

• Duration: 45 minutes (exam) + approx. 5 minutes (Non-Disclosure Agreement/Tutorial)

• Number of Questions: 30

• Format: Single-choice and multiple-choice questions, drag & drop, gap fill | Python 3. x

• Passing score: 70%

• Language: English

• Delivery Channel: OpenEDG Testing Service

Certified Entry-Level Programmer : PCEP Exam Syllabus:

#) Computer Programming and Python Fundamentals (18%)

Understand fundamental terms and definitions

• interpreting and the interpreter, compilation, and the compiler

• lexis, syntax, and semantics

Understand Python’s logic and structure

• keywords

• instructions

• indentation

• comments

Introduce literals and variables into code and use different numeral systems

• Boolean, integers, floating-point numbers

• scientific notation

• strings

• binary, octal, decimal, and hexadecimal numeral systems

• variables

• naming conventions

• implementing PEP-8 recommendations

Choose operators and data types adequate to the problem

• numeric operators: ** * / % // + –

• string operators: * +

• assignment and shortcut operators

• unary and binary operators

• priorities and binding

• bitwise operators: ~ & ^ | << >>

• Boolean operators: not, and, or

• Boolean expressions

• relational operators ( == != > >= < <= )

• the accuracy of floating-point numbers

• type casting

Perform Input/Output console operations

• the print() and input() functions

• the sep= and end= keyword parameters

• the int() and float() functions

#) Control Flow - Conditional Block and Loops (29%)

Make decisions and branch the flow with the if instruction

• conditional statements: if, if-else, if-elif, if-elif-else

• multiple conditional statements

• nesting conditional statements

Perform different types of iterations

• the pass instruction

• building loops with while, for, range(), and in

• iterating through sequences

• expanding loops with while-else and for-else

• nesting loops and conditional statements

• controlling loop execution with break and continue

#) Data Collections - Tuples, Dictionaries, Lists, and Strings (25%)

Collect and process data using lists

• constructing vectors

• indexing and slicing

• the len() function

• list methods: append(), insert(), index(), etc.

• functions: len(), sorted()

• the del instruction

• iterating through lists with the for loop

• initializing loops

• the in and not in operators

• list comprehensions

• copying and cloning

• lists in lists: matrices and cubes

Collect and process data using tuples

• tuples: indexing, slicing, building, immutability

• tuples vs. lists: similarities and differences

• lists inside tuples and tuples inside lists

Collect and process data using dictionaries

• dictionaries: building, indexing, adding and removing keys

• iterating through dictionaries and their keys and values

• checking the existence of keys

• methods: keys(), items(), and values()

Operate with strings

• constructing strings

• indexing, slicing, immutability

• escaping using the \ character

• quotes and apostrophes inside strings

• multi-line strings

• basic string functions and methods

#) Functions and Exceptions (28%)

Decompose the code using functions

• defining and invoking user-defined functions and generators

• the return keyword, returning results

• the None keyword

• recursion

Organize interaction between the function and its environment

• parameters vs. arguments

• positional, keyword, and mixed argument passing

• default parameter values

• name scopes, name hiding (shadowing), and the global keyword

Python Built-In Exceptions Hierarchy

• BaseException

• Exception

• SystemExit

• KeyboardInterrupt

• abstract exceptions

• ArithmeticError

• LookupError

• IndexError

• KeyError

• TypeError

• ValueError

Basics of Python Exception Handling

• try-except / the try-except Exception

• ordering the except branches

• propagating exceptions through function boundaries

• delegating responsibility for handling exceptions

Here are some reasons why learning Python can be beneficial:

• Easy to Learn and Use: Python has a simple and clean syntax, making it easy for beginners to learn and use. Additionally, Python has an extensive standard library, which makes it a powerful tool for building complex applications with minimal code.

• Versatile: Python is a versatile language that can be used for a wide range of applications, such as web development, machine learning, data analysis, scientific computing, game development, and more. It is widely used in scientific research, data science, finance, and education.

• Large Community and Support: Python has a large and active community of developers, which provides excellent support and resources for beginners and experts alike. The Python community has contributed to a wide range of libraries and frameworks that are available for free, making it easier for developers to build powerful applications.

• High Demand in the Job Market: Python is one of the most popular programming languages used today, and its popularity is increasing every day. Learning Python can help you build a successful career in various fields, including software development, data science, machine learning, and web development.

Benefits of the Certification:

Earning the PCEP : Certified Entry-Level Programmer certification demonstrates to employers and peers that you possess a solid understanding of Python Programming, their purpose, and their use cases. This certification is also an excellent way to validate your knowledge of the gain recognition in the industry. Additionally, certified individuals can expect to earn a higher salary and have more career opportunities available to them.

Perhaps this is your first step toward the certification, or perhaps you are coming back for another round. We hope that you feel this exam challenges you, teaches you, and prepares you to pass the PCEP : Certified Entry-Level Programmer. If this is your first study guide, take a moment to relax. This could be the first step to a new high-paying job and an AMAZING career.

Practicing for an exam like the PCEP can be a full-time job. In fact some exams are actually paid for by work because they are so intensive. Certification is not simple and takes immense work. It takes time, practice, and the right focus. We understand that because we have been in this industry for years and working in space full of less savory test prep sources.

Practice exams are a great way to prepare for the actual certification exam and help you increase your chances of success. By taking thePCEP : Certified Entry-Level Programmer practice exam, you will gain valuable insights into your current level of knowledge and skills and be able to focus your study efforts in the right areas.

Features of Practice Tests:

• Premium quality questions + Detailed solution explanations

• Reference links to the official GCP docs & other reliable sources

• Course materials based on the latest syllabus

• Gain knowledge, skills, & confidence

• Practice full-length exams in a single sitting

• Practice tricky questions

• Learn exam time management + Pressure handling

• Active course instructor to help, guide, and solve your doubts within 24-48 Hrs

• Lifetime course access to help you re-certify in the future

• Mobile-compatible course for your convenience - Just download the Udemy mobile app and get started

• You can skip a question to come back to at the end of the exam.

• You can also use “Mark for Review” to come back to questions you are unsure about before you submit your test.

• If you want to finish the test and see your results immediately, press the stop button.

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