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I applied via Naukri.com and was interviewed in Jun 2023. There were 3 interview rounds.
Good type of questions from mathematics
A service worker is a script that runs in the background of a web page, separate from the main browser thread, enabling features like push notifications and offline functionality.
Service workers are event-driven, meaning they are triggered by specific events like network requests or push notifications.
They can intercept and modify network requests, allowing for offline caching and faster loading times.
Service workers a...
A service in Angular is a class that encapsulates a specific functionality and can be shared across components.
Services are used to share data or functionality across multiple components in an Angular application
Services are typically singleton instances, meaning there is only one instance of a service in the application
Services can be injected into components, directives, or other services using Angular's dependency i
I applied via Approached by Company and was interviewed in May 2023. There were 3 interview rounds.
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Python coding round having easy questions
Deloitte interview questions for designations
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 2 interview rounds.
Bias-variance tradeoff is a key concept in machine learning, balancing model complexity and generalization.
Bias refers to error from overly simplistic assumptions in the model, leading to underfitting.
Variance refers to error from model being too complex and fitting to noise in the training data, leading to overfitting.
Balancing bias and variance is crucial for optimal model performance and generalization.
Regularizatio...
End to end deployment over cloud involves deploying an application or system from start to finish using cloud services.
Plan the deployment process including resource allocation and configuration
Use automation tools like Ansible or Terraform for consistent deployment
Monitor the deployment for any issues and scale resources as needed
Implement security measures to protect data and applications
Consider factors like cost, s...
Monitoring ML model in production involves tracking model performance, data drift, and making necessary adjustments.
Set up monitoring tools to track model performance metrics such as accuracy, precision, recall, and F1 score.
Monitor data drift by comparing the distribution of incoming data with the training data.
Implement alerting systems to notify when model performance drops below a certain threshold.
Regularly retrai...
MLOps is the practice of combining machine learning with operations to deploy, monitor, and manage ML models in production.
MLOps focuses on the entire ML lifecycle from development to deployment and monitoring
It involves automating the process of training, deploying, and managing ML models
MLOps ensures collaboration between data scientists and operations teams for seamless model deployment
It includes version control, t...
Models in production are monitored through automated alerts, performance metrics, and regular reviews.
Set up automated alerts to notify of any anomalies or errors in the model's predictions
Track performance metrics such as accuracy, precision, recall, and F1 score regularly
Conduct regular reviews of the model's outputs and compare them to expected results
Implement version control to track changes and updates to the mod
Challenges include data quality, model interpretability, scalability, and monitoring.
Data quality issues can lead to biased or inaccurate predictions.
Interpretability of complex models can be a challenge for stakeholders.
Scalability concerns arise when deploying models to handle large volumes of data.
Monitoring the model's performance in real-time is crucial to ensure its effectiveness over time.
Reducing latency involves optimizing network performance and minimizing delays in data transmission.
Optimize network infrastructure by upgrading hardware and software
Use content delivery networks (CDNs) to cache data closer to end users
Implement data compression techniques to reduce file sizes and transmission times
Utilize load balancing to distribute network traffic evenly across servers
Minimize unnecessary network ho
Get interview-ready with Top Deloitte Interview Questions
I applied via Referral and was interviewed before Aug 2023. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Oct 2023. There were 3 interview rounds.
Data transformation using Alteryx
Validations in ASP.NET MVC
ASP.NET MVC provides various validation techniques such as Data Annotations, Model Validation, and Client-Side Validation
Data Annotations are attributes that can be applied to model properties to specify validation rules
Model Validation is performed on the server-side and can be customized using validation attributes and custom validation logic
Client-Side Validation is performed on the client-...
Exception handling in web api
Use try-catch blocks to handle exceptions
Return appropriate HTTP status codes for different types of exceptions
Log exceptions for debugging purposes
Use global exception handling middleware to handle unhandled exceptions
Provide meaningful error messages to the client
CORS is a security feature in web API to restrict cross-origin requests.
CORS stands for Cross-Origin Resource Sharing.
It is used to restrict cross-origin requests made by web browsers.
It is implemented in web API using middleware.
It can be configured to allow specific origins, headers, and methods.
Example: app.UseCors(options => options.AllowAnyOrigin().AllowAnyHeader().AllowAnyMethod());
I applied via LinkedIn and was interviewed in Oct 2022. There were 2 interview rounds.
I applied via LinkedIn and was interviewed before Apr 2023. There were 2 interview rounds.
Financial services, automobile and hospitality
Some of the top questions asked at the Deloitte Senior Consultant interview -
The duration of Deloitte Senior Consultant interview process can vary, but typically it takes about less than 2 weeks to complete.
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