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10+ Best Koki Automotive Interview Questions and Answers

Updated 5 Feb 2024

Q1. What is over-fitting and under-fitting? How do you deal with it?

Ans.

Over-fitting is when a model is too complex and fits the training data too well, while under-fitting is when a model is too simple and cannot capture the underlying patterns in the data.

  • Over-fitting occurs when a model is trained too much on the training data and starts to memorize it instead of learning the underlying patterns.

  • Under-fitting occurs when a model is too simple and cannot capture the complexity of the data.

  • To deal with over-fitting, one can use techniques such a...read more

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Q2. what are lable-encoding and one-hot encoding? when to use one over other?

Ans.

Label encoding and one-hot encoding are techniques used to convert categorical data into numerical data.

  • Label encoding assigns a unique numerical value to each category in a feature.

  • One-hot encoding creates a binary vector for each category in a feature.

  • Label encoding is useful when the categories have an inherent order or hierarchy.

  • One-hot encoding is useful when the categories are unordered or when the number of categories is small.

  • One-hot encoding can lead to a high-dimens...read more

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Q3. what is a docker image? and how do you check the running containers?

Ans.

A docker image is a lightweight, standalone, executable package that includes everything needed to run an application.

  • Docker images are created using a Dockerfile which contains instructions for building the image.

  • Images can be stored in a registry and pulled to run on any machine with Docker installed.

  • To check running containers, use the command 'docker ps' which lists all running containers.

  • To see all containers, including stopped ones, use 'docker ps -a'.

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Q4. what are different storage types/classes in AWS S3?

Ans.

AWS S3 has 6 storage classes: S3 Standard, S3 Intelligent-Tiering, S3 Standard-Infrequent Access, S3 One Zone-Infrequent Access, S3 Glacier, and S3 Glacier Deep Archive.

  • S3 Standard: for frequently accessed data

  • S3 Intelligent-Tiering: automatically moves data to the most cost-effective tier

  • S3 Standard-Infrequent Access: for long-lived, infrequently accessed data

  • S3 One Zone-Infrequent Access: for infrequently accessed data that can be recreated

  • S3 Glacier: for long-term archival...read more

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Discover Best Koki Automotive interview dos and don'ts from real experiences

Q5. write a python function to check if the input number is palindrome or not?

Ans.

Python function to check if a number is palindrome or not.

  • Convert the number to a string

  • Reverse the string

  • Compare the reversed string with the original string

  • Return True if they are equal, else False

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Q6. write a python function to check if the input number is prime or not?

Ans.

Python function to check if a number is prime or not

  • Check if number is less than 2, return False

  • Check if number is divisible by any number from 2 to its square root, return False

  • Else, return True

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Q7. what are some metrics for regression problems?

Ans.

Metrics for regression problems

  • Mean Squared Error (MSE)

  • Root Mean Squared Error (RMSE)

  • Mean Absolute Error (MAE)

  • R-squared (R²) score

  • Coefficient of Determination

  • Explained Variance Score

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Q8. what are args and kwargs in python?

Ans.

args and kwargs are special syntax in Python used to pass a variable number of arguments to a function.

  • args is used to pass a variable number of non-keyword arguments to a function

  • kwargs is used to pass a variable number of keyword arguments to a function

  • args is represented by an asterisk (*) and kwargs is represented by two asterisks (**)

  • args and kwargs can be used together in a function definition

  • Example: def my_func(*args, **kwargs):

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Q9. What is AWS SageMaker DataWrangler?

Ans.

AWS SageMaker DataWrangler is a data preparation service that helps to clean and normalize data for machine learning.

  • It provides a visual interface to explore, transform, and combine data from various sources.

  • It supports a wide range of data formats and can handle missing or inconsistent data.

  • It generates code in Python or PySpark for reproducibility and scalability.

  • It integrates with other AWS services like SageMaker Studio and Glue for end-to-end ML workflows.

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Q10. what is a layer in aws lambda?

Ans.

A layer in AWS Lambda is a distribution mechanism for libraries, custom runtimes, and other function dependencies.

  • Layers can be used to manage dependencies for multiple functions.

  • They can be created and managed in the AWS Management Console or through the AWS CLI.

  • Layers can be shared across multiple AWS accounts and regions.

  • They can be used to separate code from configuration and make it easier to update dependencies.

  • Examples of layers include libraries for machine learning f...read more

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