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Basic quant and reasoning
Basic coding Data structure and aldo , from hackerrank
I applied via LinkedIn and was interviewed before Jun 2023. There was 1 interview round.
ASP.NET MVC is a web application framework developed by Microsoft for building dynamic websites.
Model-View-Controller architecture separates the application into three main components
Uses routing to map URLs to controller actions
Supports test-driven development and separation of concerns
Example: Controllers handle user input, Models represent data, Views display the UI
I applied via Approached by Company and was interviewed before Aug 2022. There were 5 interview rounds.
20 MCQ asking in the test
ManekTech interview questions for popular designations
I applied via Job Portal and was interviewed before Jan 2023. There was 1 interview round.
I applied via Job Portal and was interviewed before Dec 2022. There were 2 interview rounds.
An basic flutter signup / login page with dynamic list.
I applied via LinkedIn and was interviewed before Mar 2022. There were 2 interview rounds.
Top trending discussions
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
To create a pipeline in Databricks, you can use Databricks Jobs or Apache Airflow for orchestration.
Use Databricks Jobs to create a pipeline by scheduling notebooks or Spark jobs.
Utilize Apache Airflow for more complex pipeline orchestration with dependencies and monitoring.
Leverage Databricks Delta for managing data pipelines with ACID transactions and versioning.
posted on 17 Dec 2024
I applied via Instahyre and was interviewed in Nov 2024. There was 1 interview round.
Use SQL query to count number of reportees for each manager and filter out those with atleast 5 reportees.
Write a SQL query to count number of reportees for each manager using GROUP BY clause
Add HAVING clause to filter out managers with atleast 5 reportees
Example: SELECT managerId, COUNT(id) AS num_reportees FROM table_name GROUP BY managerId HAVING num_reportees >= 5
Use libraries like pandas and dask to efficiently manage large datasets in Python.
Use pandas library for data manipulation and analysis.
Use dask library for parallel computing and out-of-core processing.
Optimize memory usage by loading data in chunks or using data types efficiently.
Consider using cloud services like AWS S3 or Google BigQuery for storing and processing large datasets.
Some commonly used Python libraries for Data Analysts are Pandas, NumPy, Matplotlib, and Scikit-learn.
Pandas - used for data manipulation and analysis
NumPy - used for numerical computing and working with arrays
Matplotlib - used for data visualization
Scikit-learn - used for machine learning and data mining
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