Array interview questions are crucial for coding interviews. If you are preparing for your upcoming tech interview at FAANG or any other Tier-1 tech company, you should be adept at arrays. It is the second-most popular topic after Strings at most coding interviews.
Arrays are a collection of similar data items stored at contiguous memory locations. They are omnipresent, as they associate with all programming languages, including C, C++, Java, Python, Perl, and Ruby. Read on for array-based interview questions and answers and some coding problems for practice.
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Arrays are a crucial topic at FAANG+ interviews. You can expect questions around peak elements, how to reverse arrays, sort arrays, the occurrence of an integer in an array, and much more.
You should also be prepared for some theoretical questions along with coding questions on arrays for your technical interviews. Here are some Array interview questions that interviewers often ask to check your basic understanding of the concept of arrays in data structures.
Dynamic arrays (also known as a growable array, resizable array, mutable array, or ArrayLists in Java) offer a big improvement, i.e., automatic resizing.
An array has a fixed size, so you always have to specify the number of elements your array will hold ahead of time. However, a dynamic array expands as you add more elements to it and you need not determine the size ahead of time.
This is one frequently asked array interview question that tests your fundamentals. The main differences between arrays and dictionaries are as follows:
An array of data with many elements that have a zero value is termed a sparse array. Contrastingly, a dense array has most of the elements with non-zero values. Sparse array maps integers to objects, and its indices can contain gaps. These are more memory-efficient than a HashMap.
The following table enumerates the key differences between associative and indexed arrays.
Linked lists can be used over arrays when:
You must have a thorough knowledge of various operations in arrays to answer this question.
Hashed Array Tree (HAT) is an improvement over Dynamic Arrays. It offers a large amount of unused allocated memory at a time. HATs maintain an array of separate memory fragments, also called leaves to store the data elements.
The main advantage of using Heap over Sorted Arrays is the time efficiency. While sorting an array has a high time complexity, heap operations are faster. You can use a heap to find the smallest element much faster than sorting an array.
With Sorted Arrays, there can be two arrangements of a given set of integers after sorting. On the contrary, there can be multiple possible heaps for a given set of integers.
You must understand the complete concept of arrays in data structures. Read more about searching an element in a sorted and rotated array and much more on the Learn platform and uplevel your tech interview prep.
Here is a list of some most anticipated array interview questions in Java for freshers. If you are an experienced professional, you can practice these questions to brush up on your fundamentals.
Learn about what are arrays in Java here.
Top FAANG companies like Google, YouTube, IBM, Intel, and other Tier-1 tech companies use Python for programming. You must practice the following Array interview questions to ace your Python interview.
For more Python interview questions, read this article.
You must know that Mark Zuckerberg used PHP to develop Facebook, and even today, PHP continues to be one of the main languages for the platform.
Etsy and YouTube also employ PHP for backend services. If you are applying for a backend developer position, you should consider learning and practicing some PHP coding questions too. Here are some array logical interview questions in PHP.
This completes our list of array interview questions. You must practice these and get more available on the Problems page to ace your next interview and land your dream job.
1. Are array interview questions difficult?
Arrays are a comparatively easier data structure topic. You should have a basic knowledge of arrays to ace array interview questions.
2. Which is the best programming language for very large arrays?
Python with NumPy works best for solving large array interview questions. Python 3 offers automatic support for large numbers, and the default number type grows whenever necessary. You can also use math libraries available in Python.
3. Are array interview questions a part of data scientist interviews?
If you are applying for a data scientist position, you must practice some array interview questions because knowledge of algorithms and data structures is useful in data science fields.
4. How do you solve an array interview question?
To solve array interview questions, you should thoroughly brush up on your array fundamentals, including array operations (from declaring/creating an array to accessing/modifying array elements) and programming constructors such as loop, recursion, and fundamental operators.
5. How do you approach an array problem?
Understand the problem thoroughly. If you have any questions, ask for clarification. Consider breaking the problem down into smaller chunks. Before you start coding, ensure you have the algorithm in mind — jot it down or create a flowchart to picture it. Then start coding.
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