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I applied via Approached by Company and was interviewed in Nov 2022. There were 2 interview rounds.
The caching strategy to be adopted depends on the specific requirements and constraints of the system.
Consider the data access patterns and frequency of updates
Evaluate the size and volatility of the data
Choose between client-side, server-side, or distributed caching
Use techniques like time-based expiration, LRU, or LFU
Consider using a combination of caching strategies for different data types or scenarios
Serverless architecture in the cloud refers to the design and deployment of applications without the need to manage servers.
Serverless architecture allows developers to focus on writing code without worrying about server management.
Applications are built using functions or microservices that are executed in response to events.
Serverless platforms automatically scale resources based on demand, reducing costs and improvi...
Different types of cloud strategies include public, private, hybrid, and multi-cloud. The suggested strategy depends on specific business needs.
Public cloud strategy involves using services provided by third-party cloud providers like AWS, Azure, or Google Cloud.
Private cloud strategy involves creating and managing a cloud infrastructure within an organization's own data center.
Hybrid cloud strategy combines both publi...
I applied via Recruitment Consulltant and was interviewed in Sep 2023. There were 3 interview rounds.
Time series forecasting involves analyzing past data to make predictions about future values based on patterns and trends.
Time series forecasting uses historical data to identify patterns and trends over time.
Common techniques include ARIMA, exponential smoothing, and machine learning algorithms like LSTM.
Forecasting accuracy can be improved by adjusting parameters, incorporating external factors, and using ensemble me...
Various machine learning techniques such as regression, classification, clustering, and deep learning are used to analyze data and make predictions.
Regression: Used to predict continuous values, such as predicting house prices based on features like size and location.
Classification: Used to categorize data into different classes, such as classifying emails as spam or not spam.
Clustering: Used to group similar data poin...
Product lifecycle refers to the stages a product goes through from introduction to withdrawal from the market.
Product development: Research, design, and creation of the product.
Introduction: Launching the product into the market.
Growth: Sales and market share increase as product gains popularity.
Maturity: Sales peak and competition intensifies.
Decline: Sales decrease, leading to eventual withdrawal from the market.
Exam...
posted on 21 Nov 2024
I applied via campus placement at National Institute of Engineering (NIE) and was interviewed in Oct 2024. There were 2 interview rounds.
Coding test was taken for another role
A mobile device connects to a network through wireless communication protocols like Wi-Fi, Bluetooth, or cellular data.
Mobile device scans for available networks
User selects a network and enters password if required
Device sends a connection request to the network
Network authenticates the device and assigns an IP address
Device is now connected to the network and can access the internet
Common types of network topologies include bus, star, ring, mesh, and hybrid.
Bus: all devices are connected to a central cable
Star: all devices are connected to a central hub
Ring: each device is connected to two other devices, forming a ring
Mesh: each device is connected to every other device
Hybrid: combination of two or more different topologies
I led a team in implementing a cloud-based CRM solution for a large retail company.
Led a team in designing and implementing a cloud-based CRM solution
Worked closely with stakeholders to gather requirements and ensure alignment with business goals
Managed project timeline, resources, and budget to successful completion
Provided technical guidance and support to team members throughout the project
Conducted training session...
Designing and implementing a cloud-based solution for a multinational corporation's global data management system.
Developing a scalable architecture to handle large volumes of data from multiple sources
Integrating various cloud services for data storage, processing, and analytics
Ensuring data security and compliance with regulations across different regions
Collaborating with cross-functional teams to gather requirement...
I applied via Recruitment Consulltant and was interviewed in Mar 2024. There was 1 interview round.
English technical questions
I applied via campus placement at Aditya College of Engineering, Surampalem and was interviewed in May 2022. There were 3 interview rounds.
There will be around 20 questions
I applied via LinkedIn and was interviewed in Dec 2021. There were 2 interview rounds.
Case Study - 100 apps for cloud migrations. Define end to end cloud strategy, starting from what additional questions would you ask client to defining target architecture.
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