Hello, everyone. Today we're here to talk about ZipRecruiter OA . Many students take this as the first hurdle when preparing for an interview. In fact, ZipRecruiter OA examines a wide range of content, including programming, algorithms, data structures, SQL, and some behavioral questions. Many students prepare for the test do not know where to start, or simply can not figure out what it actually test, today to help you organize, tell you ZipRecruiter OA specific question types and preparation skills, to help you easily take this hurdle!
ZipRecruiter OA Basic Knowledge
What exactly is ZipRecruiter OA?
ZipRecruiter OA, simply put, is an online testing platform used to examine technical skills. Many big companies will use it to screen candidates, mainly examining programming skills, data structure, algorithms, etc., to help HR screen candidates who meet the requirements.
Unlike other OA, ZipRecruiter OA has a wider coverage of questions and examines more comprehensive content. It has both algorithmic and SQL questions, as well as some behavioral interview questions that examine the way you usually think about projects, your teamwork skills, and so on.
Why is it important to understand it?
To put it bluntly, ZipRecruiter OA is the knock on the door of whether or not you can get into an interview. Many companies will use it to quickly screen candidates and determine if your basic abilities are up to snuff. So, knowing its question types and difficulty in advance can help you avoid blind spots in your preparation and not get confused by certain questions during the exam.
ZipRecruiter OA Exclusive Questions
Fantasy Card Duel
Example 1.
Input. playerDeckA = [5], playerDeckB = [2]
Output. 1
Explanation.
Example 2.
Input. playerDeckA = [1, 2], playerDeckB = [3, 1]
Output. 6
Explanation.
Unfortunately, we dont have access to the video explanation they provided....
Constraints.
1 <= playerDeckA.length <= 100
1 <= playerDeckA[i] <= 10Triplets With Unique Chars
Example 1.
Input. string = "abcdaaae"
Output. 3
Explanation.
Pls see the source image posted in the Problem Source section below for detailed explanation.... Thank you so much for your understanding!
Example 2.
Input. string = "abacaba"
Output. 2
Explanation.
Pls see the source image posted in the Problem Source section below for detailed explanation.... Thank you so much for your understanding!
Constraints.
1 <= s.length <= 1000Strategies and Practical Tips for Effective Exam Preparation
1. Preparatory phase
Recommended Brushup Platforms
LeetCode: This place has the most questions, you can find relevant questions for almost every interview, brush up by difficulty and question type for super fast progression.
HackerRank: Suitable for students with programming foundation, the topic is more close to the actual work, after brushing can be used practically.
Codewars: Ideal for students who want to improve their fundamentals quickly, with simple questions to help you consolidate basic concepts.
How to brush up efficiently
Brush up by question type: Don't swipe indiscriminately, start with the basics like arrays and chain lists, and then gradually challenge the more difficult questions like trees, graphs, and dynamic programming.
advance gradually: Start with the easy questions and do them before challenging the harder ones to avoid wasting time by picking the hard ones at the beginning.
time management
Give yourself a brush plan, do not brush blindly, arrange a certain amount of time every day, do questions and summarize and focus, to avoid excessive brush but no effect.
2. Practical skills
You can't be in a hurry to examine the question.
Many students start writing code straight away when working on a question, when in fact the first thing you need to do is make sure you understand the question, especially the details. Often there are edge cases that are not dealt with properly and are wrong.
Write clean code
Code naming should make sense and have a clear structure, don't write a bunch of messy code, keep it clear and logical.
Testing code is important
After writing the code, don't rush to commit it, test it first to make sure it runs correctly in all situations. Then think about optimizing the time complexity.
3. Avoiding common mistakes
Avoiding timeouts and memory overflows
If the topic always times out or overflows memory, first check if your algorithm is too inefficient. For example, O(n²) algorithms tend to hang when there is a large amount of data.
Pay attention to the edges
Remember to consider cases such as empty arrays, extremely large values or extremely small values. Many students just ignore these, resulting in program errors.
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