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Celebal Technologies
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I applied via LinkedIn and was interviewed in Jul 2022. There were 2 interview rounds.
First round is basically on python multiple choice questions and then it was asking 6 python easy-moderate question(Don't worry it's not like DSA) then 6 SQL questions which is kind of midium level questions.
An empty class can be created in Python using the 'pass' keyword.
Use the 'class' keyword to define a class.
Add the class name and a colon after the 'class' keyword.
Use the 'pass' keyword to indicate an empty class body.
I applied via Campus Placement and was interviewed before May 2023. There were 3 interview rounds.
2 SQL questions with some dsa and python mqs.
Use SQL queries with GROUP BY and HAVING clause to find duplicate values in a table.
Use GROUP BY clause to group the records based on the columns you want to check for duplicates.
Use HAVING clause to filter out the groups that have more than one record, indicating duplicates.
Example: SELECT column_name, COUNT(*) FROM table_name GROUP BY column_name HAVING COUNT(*) > 1;
Use SQL query with subquery to find second highest salary
Use ORDER BY clause to sort salaries in descending order
Use LIMIT clause to get the second row after skipping the first row
Use a subquery to avoid duplicates if multiple employees have the same highest salary
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
Use the DISTINCT keyword in a SELECT query to remove duplicates from a dataset.
Use the SELECT DISTINCT statement to retrieve unique rows from a table
Example: SELECT DISTINCT column1, column2 FROM table_name;
Another way is to use the GROUP BY clause with aggregate functions like COUNT() or SUM() to remove duplicates
Use a subquery to find the third highest salary in a table using SQL.
Use the ORDER BY clause to sort the salaries in descending order.
Use the LIMIT clause to limit the results to the third row.
Use a subquery to select the third highest salary from the sorted list.
Different roles in Power BI include Power BI Developer, Power BI Analyst, Power BI Administrator, and Power BI User.
Power BI Developer - responsible for creating and maintaining Power BI reports and dashboards
Power BI Analyst - analyzes data using Power BI to provide insights and recommendations
Power BI Administrator - manages security, access, and data sources in Power BI
Power BI User - consumes reports and dashboards
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
It was well designed
I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.
Cache is used for temporary storage of data in memory, while persist is used for saving data to disk for long-term storage.
Cache is typically faster as it stores data in memory for quick access.
Persist saves data to disk for durability and long-term storage.
Cache is often used for temporary data that can be recomputed if lost, while persist is used for important data that needs to be retained.
Examples: Using cache for ...
Reverse a sentence using Python
Split the sentence into words using split() method
Reverse the list of words using list slicing
Join the reversed list of words back into a sentence using join() method
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
It contain both Aptitude and Coding about base models and Deep learning too
Different models techniques include linear regression, decision trees, random forests, support vector machines, and neural networks.
Linear regression is used for predicting continuous values.
Decision trees are used for classification and regression tasks.
Random forests are an ensemble method based on decision trees.
Support vector machines are used for classification tasks.
Neural networks are used for complex pattern re
Different performance metrics are used for different types of machine learning models to evaluate their effectiveness.
For classification models, metrics like accuracy, precision, recall, F1 score, and ROC-AUC are commonly used.
For regression models, metrics like mean squared error (MSE), mean absolute error (MAE), and R-squared are commonly used.
For clustering models, metrics like silhouette score and Davies-Bouldin in...
Highly interactive and technical
1 hr test with focus on math and analytical thinking
based on 22 reviews
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