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Leena AI Interview Questions and Answers for Freshers
11 Interview questions
As a recruiter, I leverage AI to streamline candidate sourcing, enhance matching, and optimize hiring processes.
Utilize AI algorithms to analyze resumes and match skills with job requirements, ensuring a better fit.
Implement predictive analytics to identify candidates who are likely to succeed in specific roles based on historical data.
Use chatbots for initial candidate screening, allowing for quicker responses an...
AI will revolutionize HR by streamlining processes, enhancing recruitment, and improving employee engagement.
Automated resume screening: AI can quickly analyze resumes to identify the best candidates, saving time for HR teams.
Predictive analytics: AI can forecast employee turnover and help HR develop retention strategies.
Chatbots for recruitment: AI-powered chatbots can engage with candidates, answer queries, and ...
To form a binary tree, create nodes with left and right child pointers.
Start by creating a root node.
For each node, create left and right child nodes.
Repeat the process until all nodes are created.
The right view of a binary tree shows the nodes visible when the tree is viewed from the right side.
The right view includes the last node at each level of the tree.
To find the right view, perform a level order traversal (BFS) and capture the last node at each level.
Example: For the tree [1, 2, 3, null, 5, null, 4], the right view is [1, 3, 4].
Alternatively, a depth-first traversal (DFS) can be used, prioritizing r...
The right view of a binary tree shows the nodes visible when looking from the right side.
The right view includes the last node at each level of the tree.
To find the right view, perform a level order traversal (BFS) and capture the last node at each level.
Example: For the tree [1, 2, 3, null, 5, null, 4], the right view is [1, 3, 4].
Alternatively, a depth-first traversal (DFS) can be used, keeping track of the maxi...
Find the heavier ball from 8 identical balls using a balance weighting machine in least number of tries.
Divide the balls into 3 groups of 3, 3, and 2 balls.
Weigh the first two groups against each other.
If they balance, the heavier ball is in the remaining group of 2 balls.
If one group is heavier, weigh two balls from that group against each other.
If they balance, the heavier ball is the remaining ball.
If one ball ...
Construct a tree using inorder and postorder traversal lists.
The last element of the postorder list is the root of the tree.
Find the root in the inorder list and split the list into left and right subtrees.
Recursively construct the left and right subtrees using the corresponding sublists.
Return the root node.
Time complexity: O(n^2) in worst case, O(nlogn) on average.
Intersection of two arrays is the common elements present in both arrays.
Sort both arrays and use two pointers to compare elements.
Use a hash set to store elements of one array and check for presence in the other array.
If arrays are already sorted, use binary search to find common elements.
Binary search has O(log n) time complexity for arrays and O(n) for linked lists.
Binary search is efficient for arrays due to their random access nature.
Linked lists require sequential traversal, making binary search inefficient.
For arrays, the time complexity is O(log n) as the search space is halved with each iteration.
For linked lists, the time complexity is O(n) as all nodes must be visited to find the target.
B...
Find depth of binary tree through recursion and iteration
Recursively traverse left and right subtrees and return the maximum depth
Iteratively traverse the tree using a stack or queue and keep track of the depth
Depth of an empty tree is 0
Depth of a tree with only one node is 1
Leena AI Interview Experiences for Freshers
3 interviews found
Anonymous
I applied via Campus Placement and was interviewed in Jan 2024. There were 2 interview rounds.
1 hour coding question array maths hackearth
(5 Questions)
- Q1. He asked right view of the binary tree
- Ans.
The right view of a binary tree shows the nodes visible when the tree is viewed from the right side.
The right view includes the last node at each level of the tree.
To find the right view, perform a level order traversal (BFS) and capture the last node at each level.
Example: For the tree [1, 2, 3, null, 5, null, 4], the right view is [1, 3, 4].
Alternatively, a depth-first traversal (DFS) can be used, prioritizing right ...
- Q2. He asked simple map questions
- Q3. Form a binary tree
- Ans.
To form a binary tree, create nodes with left and right child pointers.
Start by creating a root node.
For each node, create left and right child nodes.
Repeat the process until all nodes are created.
- Q4. Design of a map
- Ans.
Design a map
Consider the purpose of the map (e.g., navigation, data visualization)
Decide on the level of detail and scale of the map
Choose appropriate symbols and colors for different features
Include a legend or key to explain the map symbols
Ensure the map is easy to read and understand
- Q5. He asked right view of tree
- Ans.
The right view of a binary tree shows the nodes visible when looking from the right side.
The right view includes the last node at each level of the tree.
To find the right view, perform a level order traversal (BFS) and capture the last node at each level.
Example: For the tree [1, 2, 3, null, 5, null, 4], the right view is [1, 3, 4].
Alternatively, a depth-first traversal (DFS) can be used, keeping track of the maximum d...
Interview Preparation Tips
Skills evaluated in this interview
Ritesh Jaiswal
Selected
I appeared for an interview before Apr 2024, where I was asked the following questions.
- Q1. How AI will impact Human Resource Field
- Ans.
AI will revolutionize HR by streamlining processes, enhancing recruitment, and improving employee engagement.
Automated resume screening: AI can quickly analyze resumes to identify the best candidates, saving time for HR teams.
Predictive analytics: AI can forecast employee turnover and help HR develop retention strategies.
Chatbots for recruitment: AI-powered chatbots can engage with candidates, answer queries, and sched...
- Q2. As a recruiter How you will assist A.I. software to Get right person at right time
- Ans.
As a recruiter, I leverage AI to streamline candidate sourcing, enhance matching, and optimize hiring processes.
Utilize AI algorithms to analyze resumes and match skills with job requirements, ensuring a better fit.
Implement predictive analytics to identify candidates who are likely to succeed in specific roles based on historical data.
Use chatbots for initial candidate screening, allowing for quicker responses and eng...
Interview Preparation Tips
I applied via Campus Placement and was interviewed in Nov 2021. There were 4 interview rounds.
Interview Questionnaire
5 Questions
- Q1. 1) Time complexity of binary search for array and linked list
- Ans.
Binary search has O(log n) time complexity for arrays and O(n) for linked lists.
Binary search is efficient for arrays due to their random access nature.
Linked lists require sequential traversal, making binary search inefficient.
For arrays, the time complexity is O(log n) as the search space is halved with each iteration.
For linked lists, the time complexity is O(n) as all nodes must be visited to find the target.
Binary...
- Q2. 2) Construct tree from inorder and post order list
- Ans.
Construct a tree using inorder and postorder traversal lists.
The last element of the postorder list is the root of the tree.
Find the root in the inorder list and split the list into left and right subtrees.
Recursively construct the left and right subtrees using the corresponding sublists.
Return the root node.
Time complexity: O(n^2) in worst case, O(nlogn) on average.
- Q3. 3) Find depth of binary tree through recursion and iteration
- Ans.
Find depth of binary tree through recursion and iteration
Recursively traverse left and right subtrees and return the maximum depth
Iteratively traverse the tree using a stack or queue and keep track of the depth
Depth of an empty tree is 0
Depth of a tree with only one node is 1
- Q4. 4) Find intersection of two arrays
- Ans.
Intersection of two arrays is the common elements present in both arrays.
Sort both arrays and use two pointers to compare elements.
Use a hash set to store elements of one array and check for presence in the other array.
If arrays are already sorted, use binary search to find common elements.
- Q5. 5) Find out the heavier ball from 8 identical ball of which one is heavier using only a balance weighting machine in least number of trys
- Ans.
Find the heavier ball from 8 identical balls using a balance weighting machine in least number of tries.
Divide the balls into 3 groups of 3, 3, and 2 balls.
Weigh the first two groups against each other.
If they balance, the heavier ball is in the remaining group of 2 balls.
If one group is heavier, weigh two balls from that group against each other.
If they balance, the heavier ball is the remaining ball.
If one ball is he...
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
Interview Questionnaire
1 Question
- Q1. System Design and Ds and algo questions
(1 Question)
- Q1. They asked to design a database table
- Ans.
Design a database table for managing user accounts in a web application.
Table Name: Users
Columns: id (INT, Primary Key), username (VARCHAR), password (VARCHAR), email (VARCHAR), created_at (TIMESTAMP)
Indexes: Create an index on username for faster lookups.
Constraints: Ensure email is unique and validate password strength.
Low level Design Problem in Java
(1 Question)
- Q1. Data Structures - Graph Problem DFS
System Design with few details
Selected
I appeared for an interview in Oct 2024, where I was asked the following questions.
- Q1. What is the DOM ?
- Q2. What is SSR?
Selected
I appeared for an interview before Jun 2024, where I was asked the following questions.
- Q1. LLD one question Parking lot system
- Q2. Queue related basic questions
- Q3. Basic .net core questions
I applied via Campus Placement and was interviewed in Mar 2023. There were 4 interview rounds.
Aptitude Test with 1 coding question and 8 other aptitude questions
(1 Question)
- Q1. DSA questions with some dbms questions.
(1 Question)
- Q1. DSA + SQL query writing questions. Do revise SQL before interview.
Interview Questionnaire
2 Questions
- Q1. Laravel Nova task
- Q2. Php basic questions
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