10+ Varroc Group Interview Questions and Answers

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.

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 the height of the tree, due to the recursive calls in depth-...read more

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.

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

Analyzing a bank's balance sheet involves examining key ratios such as capital adequacy, asset quality, and liquidity.

• Calculate capital adequacy ratio (CAR) to assess the bank's ability to absorb losses

• Examine asset quality by calculating non-performing asset (NPA) ratio

• Analyze liquidity by calculating loan-to-deposit (LTD) ratio

• Assess profitability by calculating return on assets (ROA) and return on equity (ROE) ratios

• Compare ratios to industry benchmarks and historical data...read more

DAX query is used in Power BI to retrieve and manipulate data from datasets.

• DAX stands for Data Analysis Expressions

• Used to create calculated columns, measures, and tables

• Can perform calculations, filtering, and aggregation on data

• Examples: CALCULATE, SUMX, FILTER

Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.

• Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)

• It estimates the probability that a given observation belongs to a particular category.

• The output of logistic regression is a probability score between 0 and 1.

• It uses the logistic function (sigmoid function) to map the output to the range [0, 1].

SQL join is used to combine rows from two or more tables based on a related column, while the HAVING clause is used to filter groups based on a specified condition.

• SQL join is used to retrieve data from multiple tables based on a related column

• Types of SQL joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• HAVING clause is used with GROUP BY to filter groups based on a specified condition

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.colu...read more