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Neuronimbus Software Services Interview Questions and Answers

Updated 16 Dec 2024
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Q1. How will you execute second notebook from first notebook?

Ans.

To execute a second notebook from the first notebook, you can use the %run magic command in Jupyter Notebook.

  • Use the %run magic command followed by the path to the second notebook in the first notebook.

  • Ensure that the second notebook is in the same directory or provide the full path to the notebook.

  • Make sure to save any changes in the second notebook before executing it from the first notebook.

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Q2. like create a database of the collages composes of students and professors

Ans.

Create a database to store information about colleges, students, and professors.

  • Create tables for colleges, students, and professors

  • Include columns for relevant information such as name, ID, courses, etc.

  • Establish relationships between the tables using foreign keys

  • Use SQL queries to insert, update, and retrieve data

  • Consider normalization to avoid data redundancy

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Q3. What activities you have used in data factory?

Ans.

I have used activities such as Copy Data, Execute Pipeline, Lookup, and Data Flow in Data Factory.

  • Copy Data activity is used to copy data from a source to a destination.

  • Execute Pipeline activity is used to trigger another pipeline within the same or different Data Factory.

  • Lookup activity is used to retrieve data from a specified dataset or table.

  • Data Flow activity is used for data transformation and processing.

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Q4. Difference between data lake storage and blob storage?

Ans.

Data lake storage is optimized for big data analytics and can store structured, semi-structured, and unstructured data. Blob storage is for unstructured data only.

  • Data lake storage is designed for big data analytics and can handle structured, semi-structured, and unstructured data

  • Blob storage is optimized for storing unstructured data like images, videos, documents, etc.

  • Data lake storage allows for complex queries and analytics on diverse data types

  • Blob storage is more cost-e...read more

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Discover Neuronimbus Software Services interview dos and don'ts from real experiences

Q5. How do you optimize your code?

Ans.

Optimizing code involves identifying bottlenecks, improving algorithms, using efficient data structures, and minimizing resource usage.

  • Identify and eliminate bottlenecks in the code by profiling and analyzing performance.

  • Improve algorithms by using more efficient techniques and data structures.

  • Use appropriate data structures like hash maps, sets, and arrays to optimize memory usage and access times.

  • Minimize resource usage by reducing unnecessary computations and memory alloca...read more

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Q6. What is SQL window function?

Ans.

SQL window function is used to perform calculations across a set of table rows related to the current row.

  • Window functions operate on a set of rows related to the current row

  • They can be used to calculate running totals, moving averages, rank, etc.

  • Examples include ROW_NUMBER(), RANK(), SUM() OVER(), etc.

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Q7. What is data bricks

Ans.

Data bricks is a unified analytics platform that provides a collaborative environment for data scientists, engineers, and analysts.

  • Data bricks simplifies the process of building data pipelines and training machine learning models.

  • It allows for easy integration with various data sources and tools, such as Apache Spark and Delta Lake.

  • Data bricks provides a scalable and secure platform for processing big data and running analytics workloads.

  • It offers features like interactive no...read more

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Interview Process at Neuronimbus Software Services

based on 7 interviews in the last 1 year
2 Interview rounds
Technical Round 1
Technical Round 2
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