CPP-Institute CPP-CPA : CPP - C++ Certified Professional Programmer Exam Dumps

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Exam Number : CPP-CPA
Exam Name : CPP - C++ Certified Professional Programmer
Vendor Name : CPP-Institute
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CPP-CPA Exam Format | CPP-CPA Course Contents | CPP-CPA Course Outline | CPP-CPA Exam Syllabus | CPP-CPA Exam Objectives

Exam Detail:
The CPP-CPA (CPP - C++ Certified Professional Programmer) exam is designed to evaluate an individual's knowledge and skills in C++ programming language. Here are the exam details for the CPP-CPA exam:

- Number of Questions: The exam typically consists of multiple-choice questions, coding exercises, and scenario-based questions. The exact number of questions may vary, but it is typically around 80 to 100 questions.

- Time Limit: The time allotted to complete the exam is usually around 2 to 3 hours, but the exact duration may vary depending on the exam provider.

Course Outline:
The CPP-CPA certification program covers a comprehensive range of topics related to C++ programming. The course outline typically includes the following domains:

1. C++ Basics:
- Introduction to C++ programming language.
- Data types, variables, and constants in C++.
- Control flow statements (if-else, loops, switch-case).
- Functions and parameter passing.
- Input/output operations.

2. Object-Oriented Programming (OOP) in C++:
- Understanding the principles of OOP.
- Classes and objects in C++.
- Encapsulation, inheritance, and polymorphism.
- Constructors and destructors.
- Operator overloading.

3. Pointers, References, and Memory Management:
- Pointers and references in C++.
- Dynamic memory allocation and deallocation.
- Memory management techniques.
- Understanding memory leaks and memory errors.

4. Templates and Standard Template Library (STL):
- Template classes and template functions.
- Using templates for generic programming.
- Overview of the Standard Template Library.
- Containers, algorithms, and iterators in STL.

5. Exception Handling and Error Handling:
- Handling exceptions in C++.
- Throw, catch, and try blocks.
- Exception handling best practices.
- Error handling techniques and error codes.

6. Advanced Concepts:
- Advanced topics in C++ programming.
- Function pointers and functors.
- File handling and streams.
- Multithreading and concurrency in C++.
- Introduction to C++11 and later versions.

Exam Objectives:
The objectives of the CPP-CPA exam are as follows:

- Assessing candidates' understanding of fundamental concepts and syntax of C++ programming language.
- Evaluating candidates' proficiency in using object-oriented programming (OOP) principles in C++.
- Testing candidates' ability to work with pointers, references, and memory management in C++.
- Assessing candidates' knowledge of templates, the Standard Template Library (STL), and advanced C++ concepts.
- Evaluating candidates' ability to handle exceptions and errors in C++ programs.

Exam Syllabus:
The specific exam syllabus for the CPP-CPA exam covers the following topics:

1. C++ Basics:
- Data types, variables, and constants.
- Control flow statements.
- Functions and parameter passing.
- Input/output operations.

2. Object-Oriented Programming (OOP) in C++:
- Classes and objects.
- Encapsulation, inheritance, and polymorphism.
- Constructors and destructors.
- Operator overloading.

3. Pointers, References, and Memory Management:
- Pointers and references.
- Dynamic memory allocation and deallocation.
- Memory management techniques.

4. Templates and Standard Template Library (STL):
- Template classes and functions.
- Standard Template Library (STL) containers, algorithms, and iterators.

5. Exception Handling and Error Handling:
- Handling exceptions in C++.
- Error handling techniques.

6. Advanced Concepts:
- Function pointers and functors.
- File handling and streams.
- Multithreading and concurrency in C++.

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CPP-Institute Programmer Practice Test

Practice materials

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The tests will help familiarise students with the format and requirements of the IGCSE E2L Reading and Writing/Listening and Speaking papers. Teachers will find them a valuable source of stimulating practice material which will engage the interest of students at this level, particularly those preparing for academic study. The material is also recommended for use with non-exam students at intermediate to upper-intermediate level. The resources include: stimulating authentic texts on a wide range of subjects, reflecting the educational nature and international perspective of the IGCSE; realistic tasks, relevant to students’ interests and experience; detailed information about the examination, and teacher’s guidelines on timing and marking; invaluable practical advice to the student; model summaries and compositions/full audio scripts and examiner’s notes in the With Key editions. Endorsed by CIE.

Need A New Programming Language? Try Zig

Maybe you’ve heard of it, maybe you haven’t. Zig is a new programming language that seems to be growing in popularity. Let’s do a quick dive into what it is, why it’s unique, and what sort of things you would use it for. (Ed Note: Other than “for great justice“, naturally.)

What Is It?

You’ve likely heard of Rust as it has made significant inroads in critical low-level infrastructures such as operating systems and embedded microcontrollers. As a gross oversimplification, it offers memory safety and many traditional runtime checks pushed to compile time. It has been the darling of many posts here at Hackaday as it offers some unique advantages. With Rust on the rise, it makes sense that there might be some space for some new players. Languages like Julia, Go, Swift, and even Racket are all relative newcomers vying for the highly coveted mindshare of software engineers everywhere.

So let’s talk Zig. In a broad sense, Zig is really trying to provide some of the safety of Rust with the simplicity and ease of C. It touts a few core features such as:

No hidden control flow

No hidden memory allocations

No preprocessor, no macros

First-class support for optional standard library

Interoperable by design

Adjustable Runtime Safety

Compile-time code-execution

The last one, in particular, is perhaps the most interesting, but we’ll come back to that. Let’s look at some code, but skipping past hello world and headed straight to opening a file. Here’s the C++ code:

#include <iostream> #include <fstream> #include <string> using namespace std; int main (int argc, char const *argv[]) { ifstream file("nonexistingfile.txt"); char buffer[1024]; file.read(buffer, sizeof(buffer)); cout << buffer << endl; file.close(); return 0; }

Now let’s look at some comparable Zig code:

const std = @import("std"); using namespace std.fs; pub fn main() !void { const stdout = std.io.getStdOut().writer(); const file = try cwd().openFile( "nonexistingfile.txt", .{ .read = true }, ); defer file.close(); var buffer: [1024]u8 = undefined; const size = try file.readAll(buffer[0..]); try stdout.writeAll(buffer[0..size]); }

(Thanks to Erik Engheim for the C++ and Zig sample code.)

As you might have guessed from the file name, the file doesn’t exist. The C++ code doesn’t explicitly check for any errors and in this scenario, it is perfectly valid code that displays no indication that anything failed. Zig, on the other hand, we have to do a try since that file could fail. When it does fail, you get a nice stack trace:

error: FileNotFound /usr/local/Cellar/zig/0.7.0/lib/zig/std/os.zig:1196:23: 0x10b3ba52e in std.os.openatZ (fileopen) ENOENT => return error.FileNotFound, ^ /usr/local/Cellar/zig/0.7.0/lib/zig/std/fs.zig:754:13: 0x10b3b857e in std.fs.Dir.openFileZ (fileopen) try os.openatZ(self.fd, sub_path, os_flags, 0); ^ /usr/local/Cellar/zig/0.7.0/lib/zig/std/fs.zig:687:9: 0x10b3b6c4b in std.fs.Dir.openFile (fileopen) return self.openFileZ(&path_c, flags); ^ ~/Development/Zig/fileopen.zig:8:18: 0x10b3b6810 in main (fileopen) const file = try cwd().openFile(

Removing the try results in a compilation error. The backtrace here is especially impressive because this is a relatively simple language without a garbage collector, runtime, or virtual machine.

Let’s talk about some of Zig’s other features: interoperable by design, adjustable runtime safety, and compile-time code execution.

“Interoperable by design” means that ordinary Zig is easily consumed by C and in turn, consumes C. In many other languages, such as Python, you need to specifically marshall data for C and C++ interoperability. Zig can include C files directly in the main code by virtue of the built-in Clang compiler. The output of Zig libraries is a .o file that can be fed right into GCC. Functions can be used by C code by just prepending export to the beginning of function definitions. Structs and datatypes have similar ease.

“Adjustable runtime safety” means that many of the runtime checks that Zig has can be turned on or off depending on the application. Things like integer overflow, bounds checking, unreachable code, and others.

You might notice in some code you’ve seen that there’s a data type in Zig known as comptime. You can use it in function arguments and in the program itself. It means that the value must be computable at compile time. It can be used to implement a form of generics or templates. This is a pretty powerful feature that can be used in interesting ways.

What Would You Use It For?

Since Zig is LLVM-based, the targets for Zig include:

x86_64

ARM/ARM64

MIPS

PowerPC

WASM32

RISCV64

Sparc v9

Linux

MacOS

Windows

FreeBSD

DragonFly

UEFI

Given that it interoperates with C so smoothly, it’s quite simple to swap out small chunks or libraries for Zig equivalents.

Additionally, Zig can be used on microcontrollers. As a bit of a cherry-picked example, [Kevin Lynagh] recently went through the journey of converting his keyboard firmware from Rust to Zig. Many of Rust’s well-known language features such as features, macros, and pattern matching are used to initialize and scan ports for key presses. In Zig, these are replaced by inline for, a for loop that is unrolled at compile time, and some clever use of comptime. In particular [Kevin] points out the consistency of the language and how it is a language that he feels like he could master.

If you’re looking for inspiration, there’s a Github repo with hundreds of excellent examples written in Zig. There are Gameboy emulators, HTTP/DNS servers, ray tracers, several kernels and booters, databases, and compilers.

How Can I Get Started?

There’s a learning section on Zig’s homepage as well the site ziglearn.org that is chock-full of great resources. Ziglings is a Github project that has small broken programs that need small tweaks to get working again, allow you to get a feel for Zig. Maybe just dipping your toes in the water isn’t enough, and you want to dive into the deep end of the language implementation itself.

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