Cadence Design Systems Software Engineer II Interview Questions and Answers

Divide the horses into groups of 5 and race them. Take the top 2 from each race and race them again. Finally, race the top 2 horses to determine the top 3.

• Divide the horses into 3 groups of 5 and race them.

• Take the top 2 horses from each race and race them again.

• Finally, race the top 2 horses to determine the top 3.

C++ is a general-purpose programming language while Objective C is a superset of C used for iOS and macOS development.

• C++ is widely used for developing applications, games, and system software.

• Objective C is primarily used for iOS and macOS development.

• C++ supports both procedural and object-oriented programming paradigms.

• Objective C is an object-oriented language with dynamic runtime features.

• C++ has a larger standard library compared to Objective C.

• Objective C uses a Smallt...read more

Class container is a class that holds objects of other classes, while class composition is a way to combine multiple classes to create a new class.

• Class container holds objects of other classes, acting as a collection or container.

• Class composition combines multiple classes to create a new class with its own behavior and attributes.

• In class container, the objects are typically stored in a data structure like an array or a list.

• In class composition, the classes are combined by...read more

malloc is a function used in C programming to dynamically allocate memory. It is used in low-level programming and is different from new.

• malloc is used to allocate memory on the heap in C programming.

• It is used when the size of memory needed is not known at compile time.

• malloc returns a void pointer to the allocated memory block.

• Example: int* ptr = (int*) malloc(5 * sizeof(int));

• new is used in C++ programming to dynamically allocate memory.

• It is used with classes and objects ...read more

The width of a tree can be calculated by finding the maximum number of nodes at any level.

• Traverse the tree level by level using breadth-first search

• Keep track of the maximum number of nodes at any level

• Return the maximum number of nodes as the width of the tree