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Applied Cloud Computing Interview Questions and Answers
14 Interview questions
Bias-variance tradeoff is the balance between underfitting and overfitting in machine learning models.
Bias refers to the error introduced by approximating a real-world problem, variance refers to the error introduced by modeling the noise in the training data.
High bias can cause underfitting, where the model is too simple to capture the underlying patterns in the data.
High variance can cause overfitting, where the...
Delete removes rows one by one, while truncate removes all rows at once.
Delete is a DML command and can be rolled back, while truncate is a DDL command and cannot be rolled back.
Delete triggers delete triggers and fires delete triggers, while truncate does not trigger any triggers.
Delete is slower as it logs individual row deletions, while truncate is faster as it logs the deallocation of the data pages.
Delete can...
Discussing tasks related to mobile application frameworks like React Native or Flutter.
Framework selection: Choose between React Native for cross-platform or Flutter for high-performance UI.
State management: Use Redux in React Native or Provider in Flutter for efficient state handling.
UI components: Leverage pre-built components in both frameworks to speed up development.
API integration: Implement RESTful APIs usi...
Types of loops in JavaScript include for, while, and do-while loops.
For loop: Executes a block of code a specified number of times.
While loop: Executes a block of code while a specified condition is true.
Do-while loop: Executes a block of code once, and then repeats the loop as long as a specified condition is true.
The features in the data set include age, gender, income, education level, location, and purchase history.
Age
Gender
Income
Education level
Location
Purchase history
Tuned hyperparameters include learning rate, batch size, number of layers, and activation functions.
Adjusted learning rate to improve model convergence
Optimized batch size for better training efficiency
Experimented with different numbers of layers to find optimal model complexity
Tried various activation functions to enhance model performance
I collect data from clients through various methods such as surveys, interviews, API integrations, and data sharing agreements.
Conduct surveys to gather specific data points from clients
Interview clients to understand their data needs and preferences
Integrate with client's systems through APIs to access real-time data
Establish data sharing agreements to receive data from clients securely
Random forest is an ensemble learning method using decision trees, while XGBoost is a gradient boosting algorithm.
Random forest builds multiple decision trees and combines their predictions, while XGBoost builds trees sequentially to correct errors.
Random forest is less prone to overfitting compared to XGBoost.
XGBoost is computationally efficient and often outperforms random forest in terms of predictive accuracy.
...
To find the mid of an array, divide the sum of array length by 2 and round down to the nearest integer.
Calculate the sum of array length and divide it by 2.
Round down the result to the nearest integer.
The resulting index is the mid of the array.
I have deployed models using cloud services like AWS SageMaker and monitored them using tools like Prometheus and Grafana.
Deployed models using AWS SageMaker for easy scalability and management
Utilized Prometheus and Grafana for monitoring model performance and health
Set up alerts for abnormal behavior or performance degradation
Regularly reviewed logs and metrics to ensure model is functioning as expected
Applied Cloud Computing Interview Experiences
16 interviews found
Anonymous
I applied via Naukri.com and was interviewed before Jan 2024. There were 2 interview rounds.
(5 Questions)
- Q1. Explain bias variance tradeoff?
- Q2. Explain PCA and feature selection technique ?
- Ans.
PCA is a dimensionality reduction technique that transforms data into a lower-dimensional space. Feature selection is the process of selecting a subset of relevant features for use in model training.
PCA helps in reducing the dimensionality of data by finding the principal components that explain the most variance in the data.
Feature selection involves selecting the most important features from the dataset based on cert...
- Q3. Explain difference between delete and truncate?
- Ans.
Delete removes rows one by one, while truncate removes all rows at once.
Delete is a DML command and can be rolled back, while truncate is a DDL command and cannot be rolled back.
Delete triggers delete triggers and fires delete triggers, while truncate does not trigger any triggers.
Delete is slower as it logs individual row deletions, while truncate is faster as it logs the deallocation of the data pages.
Delete can have...
- Q4. Explain your project in details?
- Q5. How you have deployed your model and how to monitor the deployed model?
- Ans.
I have deployed models using cloud services like AWS SageMaker and monitored them using tools like Prometheus and Grafana.
Deployed models using AWS SageMaker for easy scalability and management
Utilized Prometheus and Grafana for monitoring model performance and health
Set up alerts for abnormal behavior or performance degradation
Regularly reviewed logs and metrics to ensure model is functioning as expected
Implement algorithm from scratch
Prathamesh
I appeared for an interview in May 2025, where I was asked the following questions.
- Q1. Asked all the important concepts of JS like CLOSURES, PROMISES, ASYNC AWAIT, DOM, etc. Asked about REACTJS important concepts too.
- Q2. They were very obsessed about this API handling, like they really expect the person to know about API management.
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed in Jun 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Array and string manipulation related questions all are basics
- Q2. Task related to your framework
- Ans.
Discussing tasks related to mobile application frameworks like React Native or Flutter.
Framework selection: Choose between React Native for cross-platform or Flutter for high-performance UI.
State management: Use Redux in React Native or Provider in Flutter for efficient state handling.
UI components: Leverage pre-built components in both frameworks to speed up development.
API integration: Implement RESTful APIs using Ax...
(2 Questions)
- Q1. What are the projects you have worked on, and can you describe their architecture?
- Ans.
I have worked on projects involving e-commerce, social networking, and productivity apps with client-server architecture.
Developed an e-commerce app with a client-side interface for users to browse products and a server-side database for inventory management.
Built a social networking app with a client-server architecture for users to create profiles, connect with friends, and share updates.
Designed a productivity app w...
- Q2. What are some basic questions regarding the tools you use to build projects?
(1 Question)
- Q1. What deep questions related to your field were asked during the interview conducted by the tech lead?
I applied via Walk-in and was interviewed in Jul 2024. There were 2 interview rounds.
Basic questions from website codewar
(4 Questions)
- Q1. Closures, promises
- Q2. Event loops, callback, task queue microtask queue
- Q3. Promises , differences between var let and const
- Ans.
Promises are used for asynchronous programming in JavaScript. var is function-scoped, let is block-scoped, and const is block-scoped and cannot be reassigned.
Promises are used to handle asynchronous operations in JavaScript.
var is function-scoped, let is block-scoped, and const is block-scoped and cannot be reassigned.
Example: var x = 10; let y = 20; const z = 30;
- Q4. What are loops type of loops
- Ans.
Types of loops in JavaScript include for, while, and do-while loops.
For loop: Executes a block of code a specified number of times.
While loop: Executes a block of code while a specified condition is true.
Do-while loop: Executes a block of code once, and then repeats the loop as long as a specified condition is true.
Skills evaluated in this interview
Selected
I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.
(2 Questions)
- Q1. Project used technology related questions
- Q2. What are the in-depth questions related to the framework you mentioned?
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed in Apr 2024. There were 2 interview rounds.
(3 Questions)
- Q1. What is difference between random forest and xgboost
- Q2. What is your project problem statement
- Q3. How you convince for clients the model is useful, what are the matrix
- Ans.
I convince clients of model usefulness by showcasing its accuracy, precision, recall, and F1 score.
Explain the model's accuracy in predicting outcomes compared to actual results
Discuss precision - the proportion of true positive predictions out of all positive predictions
Highlight recall - the proportion of true positive predictions out of all actual positives
Mention F1 score - the balance between precision and recall,...
(6 Questions)
- Q1. How you take data from client
- Ans.
I collect data from clients through various methods such as surveys, interviews, API integrations, and data sharing agreements.
Conduct surveys to gather specific data points from clients
Interview clients to understand their data needs and preferences
Integrate with client's systems through APIs to access real-time data
Establish data sharing agreements to receive data from clients securely
- Q2. What are hyper parameters you turned for your model
- Ans.
Tuned hyperparameters include learning rate, batch size, number of layers, and activation functions.
Adjusted learning rate to improve model convergence
Optimized batch size for better training efficiency
Experimented with different numbers of layers to find optimal model complexity
Tried various activation functions to enhance model performance
- Q3. What difference model you use in your project
- Q4. How you work with llm
- Q5. What are the features in your data set
- Ans.
The features in the data set include age, gender, income, education level, location, and purchase history.
Age
Gender
Income
Education level
Location
Purchase history
- Q6. What feature engineering you did in project
Skills evaluated in this interview
Selected
I appeared for an interview in Mar 2025, where I was asked the following questions.
- Q1. Basic Understanding like OOPS concept
- Q2. Evaluation On The Basis of task
(2 Questions)
- Q1. Tell about yourself and family background.
- Q2. What process you follow
Design exercise for admin
Interview Preparation Tips
Ravi Singh
I appeared for an interview in Apr 2024.
(5 Questions)
- Q1. Cap theoram, design patterns, situational questions,advanced java , concurrency,scheduling
- Q2. Java 8 programs
- Q3. Multithreading and aws
- Q4. Docker container arch
- Q5. Migration of softwares
- Ans.
Migration of software involves transferring data, applications, and other components from one system to another.
Assess current software and infrastructure
Plan migration strategy
Test migration process thoroughly
Train users on new software
Monitor performance post-migration
Selected
I applied via Approached by Company and was interviewed in Jun 2024. There was 1 interview round.
Duration 6/7/2024
topic aws
Interview Preparation Tips
- Cloud Computing
- Python
- IAM
- Cloudwatch
- EC2
- route53
- Load Balancing
Selected
I appeared for an interview before May 2024, where I was asked the following questions.
- Q1. What is aws
- Q2. Do you accept the bond
Interview Preparation Tips
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Applied Cloud Computing Interview FAQs
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