Google Online Assessment Test | Google OA Two questions 18 minutes full AC!

I just finished the latest round with a CS master's student. Google Online Assessment TestHe passed both questions in 18 minutes out of a 60-minute time limit. The entire test was very much in line with Google Internet company Instead of relying on tricky questions, we use classic questions to test your mastery of algorithmic logic, complexity control, and code integrity. In this article, we will break down in detail the two google online assessment test questionsWe will also share the answer rhythm and preparation points that we have summarized in the actual battle.

Question 1: Next Permutation

Problem
Given an integer array, find the lexicographically next greater permutation of numbers.
If such arrangement is not possible, rearrange it as the lowest possible order (i.e., sorted in ascending order).

Analysis of the question
This question was asked in the google online coding assessment It is also a classic algorithmic question. The question asks you to find the "next bigger arrangement" based on the current arrangement. If the current arrangement is already the largest, then the smallest arrangement is returned.
This type of question examines the understanding of the laws of array order rather than violent enumeration.

Deconstructing Ideas

1. Find the first descending position from back to front i
   i.e. satisfy nums[i] < nums[i+1] The location.
   Examples:[1, 3, 5, 4, 2]The first point of descent, from right to left, is the 3(because 3 < 5).
   The portion before this point of descent is stable, and the portion after the point of descent is the largest tail of the current alignment.
2. Find the smallest number j larger than nums[i] on the right hand side
   Look backward and forward to find the first element greater than nums[i] and swap the two.
   for example [1,3,5,4,2] → find 4, exchange to get [1,4,5,3,2].
3. Reverse the part after i to make the suffix ascending
   Since the right side is still in descending order after the swap, to get the smallest suffix arrangement, it needs to be reversed.
   final result [1,4,2,3,5].

Complexity and Boundaries

• Time complexity: O(n)
• Space complexity: O(1)
• Boundary conditions:
  • If the entire sequence is in descending order (e.g. [3,2,1]), directly reversed to return to ascending order.
  • If duplicate elements are included, the algorithm will still work correctly.

common error

• Forgetting to directly invert the array when you can't find a descent point.
• Forgot to do ascending order on the suffixes after the exchange.
• The direction of comparison is written incorrectly, resulting in a logical error.

The heart of this question is not memorizing the code, but rather reasoning quickly under pressure about the sequential relationships that are google online assessment test The key test points of the

Question 2: Longest Consecutive Sequence

Problem
Given an unsorted array of integers, find the length of the longest consecutive elements sequence.

Analysis of the question
Given an unordered array, find the length of the longest continuous sequence.
For example, enter [100,4,200,1,3,2]output 4(because) [1,2,3,4] (which is the longest continuous sequence).
This question is in the google online coding assessment Ri is commonly used to test candidates' hash structure understanding and time complexity control.

Deconstructing Ideas

1. Storing All Elements with Set
   This way determining whether a number exists can be done in O(1).
2. Counting only from the beginning of the sequence
   For each element x, if x-1 is not in set, then x is the start of a new sequence.
   Start with x and keep checking back. x+1, x+2... Whether or not it exists and counts.
3. Updates the maximum contiguous length maxLen.

Time and space complexity

• Time complexity: O(n), each number is accessed at most twice.
• Space complexity: O(n), using extra set.

The solution is the optimal solution, but also Google very much like to test the hash + logical pruning question type.

high frequency error

• Doing it with sorting (O(n log n)) passes, but does not match the optimal solution.
• There is no filter for duplicate numbers.
• Forgetting to judge the starting conditions leads to double counting of the same consecutive sequence.

exist google online assessment test questions in which such questions are often used to differentiate between candidates who have a true grasp of logical optimization.

on-the-spot summary

In this exam, students successfully AC two questions in 18 minutes, the key is the proficiency of the algorithm set and the control of the rhythm of the scene.
Google's OA doesn't pursue strange tricks, but tests whether you have stable algorithmic thinking and clear implementation structure.

He focused on reinforcing the following two points through Programhelp's hands-on training before the exam:

1. Voice Rhythm Guidance
   We have real-time voice reminders in remote online mode for key logic points such as:
   • "Now look for the first drop from back to front."
   • "Remember to reverse the suffix after swapping."
   • "Determine if the current number is the new sequence starting point."
     This pacing exercise allows participants to maintain clear thinking in stressful scenarios and significantly increase their efficiency.
2. No Trace Online Assist
   The whole process has no delay, does not interfere with the question-answering interface, and focuses on logical guidance and rhythm correction to ensure that the state of students in the real OA is closest to the effect of practice.

Many students face their first google online assessment test It's easy to panic when you do, and logic jams lead to a lack of time.
But after one or two Programhelp simulations, you can basically stabilize two questions in 20 minutes or less.

Exam preparation advice

1. Brush up on classic questions rather than new ones
   Most of the questions in Google OA are from LeetCode high-frequency questions: Permutation, Hash, Sliding Window, Two Pointers, and so on.
   Proficiency in these templates is more effective than blindly chasing new questions.
2. Mastering Boundary and Complexity Analysis
   The OA platform does not give too many examples, and you must be able to quickly validate extreme cases in your own mind.
3. Maintaining the rhythm of answering questions
   The first 2 minutes are for thinking, the next is for writing the core logic quickly, and the last 3 minutes are for boundary validation.
4. Do more real machine simulations
   The Hackerrank platform used by Google has special requirements for input and output, so familiarizing yourself with it in advance can save you a lot of time.

Still working alone in fall recruiting?

Google online assessment test Not to be difficult, but to confirm that you truly understand the algorithmic logic and can stabilize your output under pressure.

If you're preparing for an OA or technical interview with a big player like Google, Meta, Amazon, etc., you can learn about the Programhelp 's No Trace Voice Assist real-world program focuses on training algorithmic thinking, rhythm control and real-world reactions to help you achieve the strongest performance in the shortest time.

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