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Northern Arc
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Construct 4 Array Tree and implement operations
Create an array to represent the tree structure
Implement operations like insert, delete, search, and traversal
Example: Construct a binary search tree using arrays
Use hashing to compare the JSON files in O(1) time complexity.
Create a hash function to convert the JSON data into a unique hash value.
Calculate the hash value for each JSON file and compare the hash values.
If the hash values are equal, the JSON files are identical.
Example: Use MD5 or SHA-256 hash functions for generating hash values.
Use array indices to map parent to children in a 4 Array tree in O(1) space complexity.
Assign children of a parent at indices 4*i+1, 4*i+2, 4*i+3, 4*i+4 where i is the index of the parent.
To find parent of a child at index j, use (j-1)/4 to get the parent index.
Total nodes in a binary tree can be found using depth-first or breadth-first traversal algorithms with time complexity O(n) and space complexity O(h), where h is the height of the tree.
Use depth-first traversal (pre-order, in-order, post-order) or breadth-first traversal to visit each node and count the total nodes.
Time complexity is O(n) where n is the number of nodes in the tree.
Space complexity is O(h) where h ...
Type I errors are false positives; Type II errors are false negatives in hypothesis testing.
Type I Error (False Positive): Rejecting a true null hypothesis. Example: A test indicates a disease is present when it is not.
Type II Error (False Negative): Failing to reject a false null hypothesis. Example: A test fails to detect a disease that is present.
In statistical terms, Type I error is denoted by alpha (α), while...
Creating a credit risk model involves data collection, preprocessing, model development, validation, and implementation.
1. Data Collection: Gather historical data on borrowers, including credit scores, income, and repayment history.
2. Data Preprocessing: Clean and preprocess data to handle missing values, outliers, and categorical variables.
3. Feature Engineering: Create relevant features that may impact credit ri...
I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.
My expected salary is negotiable and dependent on the overall compensation package offered.
I am open to discussing salary based on the responsibilities and benefits provided in the role.
I have a range in mind based on my experience and the market rate for similar positions.
I am looking for a competitive salary that reflects my skills and contributions to the company.
I applied via LinkedIn and was interviewed in Sep 2023. There were 3 interview rounds.
Total nodes in a binary tree can be found using depth-first or breadth-first traversal algorithms with time complexity O(n) and space complexity O(h), where h is the height of the tree.
Use depth-first traversal (pre-order, in-order, post-order) or breadth-first traversal to visit each node and count the total nodes.
Time complexity is O(n) where n is the number of nodes in the tree.
Space complexity is O(h) where h is th...
Construct 4 Array Tree and implement operations
Create an array to represent the tree structure
Implement operations like insert, delete, search, and traversal
Example: Construct a binary search tree using arrays
Use hashing to compare the JSON files in O(1) time complexity.
Create a hash function to convert the JSON data into a unique hash value.
Calculate the hash value for each JSON file and compare the hash values.
If the hash values are equal, the JSON files are identical.
Example: Use MD5 or SHA-256 hash functions for generating hash values.
Use array indices to map parent to children in a 4 Array tree in O(1) space complexity.
Assign children of a parent at indices 4*i+1, 4*i+2, 4*i+3, 4*i+4 where i is the index of the parent.
To find parent of a child at index j, use (j-1)/4 to get the parent index.
I foster a collaborative environment, prioritize communication, and support team development to achieve our goals effectively.
Encourage open communication: I hold regular team meetings to discuss progress and address concerns, ensuring everyone feels heard.
Set clear goals: I work with the team to establish measurable objectives, like increasing collection efficiency by 20% over six months.
Provide support and resources:...
I applied via Walk-in and was interviewed before Apr 2022. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Apr 2021. There were 2 interview rounds.
Creating a credit risk model involves data collection, preprocessing, model development, validation, and implementation.
1. Data Collection: Gather historical data on borrowers, including credit scores, income, and repayment history.
2. Data Preprocessing: Clean and preprocess data to handle missing values, outliers, and categorical variables.
3. Feature Engineering: Create relevant features that may impact credit risk, s...
Type I errors are false positives; Type II errors are false negatives in hypothesis testing.
Type I Error (False Positive): Rejecting a true null hypothesis. Example: A test indicates a disease is present when it is not.
Type II Error (False Negative): Failing to reject a false null hypothesis. Example: A test fails to detect a disease that is present.
In statistical terms, Type I error is denoted by alpha (α), while Type...
Top trending discussions
posted on 7 Jul 2017
I applied via Naukri.com and was interviewed in Aug 2020. There was 1 interview round.
I applied via Walk-in and was interviewed before Dec 2020. There were 4 interview rounds.
I applied via Referral and was interviewed before Oct 2020. There were 3 interview rounds.
I applied via Walk-in and was interviewed in Nov 2020. There was 1 interview round.
Some of the top questions asked at the Northern Arc Capital interview for experienced candidates -
based on 4 interview experiences
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5-9 Yrs
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5-8 Yrs
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7-10 Yrs
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