BlazeClan Technologies
10+ Best Koki Automotive Interview Questions and Answers
Q1. What is over-fitting and under-fitting? How do you deal with it?
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
Q2. what are lable-encoding and one-hot encoding? when to use one over other?
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
Q3. what is a docker image? and how do you check the running containers?
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'.
Q4. what are different storage types/classes in AWS S3?
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
Q5. write a python function to check if the input number is palindrome or not?
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
Q6. write a python function to check if the input number is prime or not?
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
Q7. what are some metrics for regression problems?
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
Q8. what are args and kwargs in python?
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):
Q9. What is AWS SageMaker DataWrangler?
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.
Q10. what is a layer in aws lambda?
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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