10+ Cloud Architect Lead Interview Questions and Answers

Assessing servers using Azure Migrate with private endpoint involves evaluating network connectivity, security, and performance.

• Ensure that the private endpoint is properly configured to securely connect to the servers

• Evaluate the network latency and bandwidth to ensure optimal performance

• Check for any security vulnerabilities or misconfigurations in the private endpoint setup

• Monitor the server's resource utilization and performance after migration to Azure

Prepare landing zone for cloud migration by setting up foundational infrastructure, security controls, networking, and governance.

• Design a well-architected framework for the landing zone

• Implement security controls such as IAM policies, encryption, and monitoring

• Set up networking configurations for connectivity and data transfer

• Establish governance policies for resource management and compliance

• Automate deployment and management processes for efficiency

Sessions are managed using sticky sessions or session affinity.

• Sticky sessions ensure that a user's requests are directed to the same instance throughout the session.

• Session affinity routes requests to the instance that served the initial request.

• Load balancers can be configured to use either method.

• Session data can also be stored in a shared database or cache to ensure availability across instances.

Microservices are smaller, independent services that work together, while Monolithic is a single, large application.

• Microservices are smaller, independent services that can be developed, deployed, and scaled independently.

• Monolithic architecture is a single, large application where all components are tightly coupled.

• Microservices promote flexibility, scalability, and fault isolation.

• Monolithic applications are easier to develop but harder to maintain and scale.

• Examples of mic...read more

I have extensive knowledge of Azure services and have worked with them in various projects.

• I have experience with Azure Virtual Machines, Azure SQL Database, Azure Blob Storage, Azure Functions, and Azure App Services.

• I am familiar with Azure networking services such as Azure Virtual Network, Azure ExpressRoute, and Azure Traffic Manager.

• I have worked with Azure monitoring and management tools like Azure Monitor, Azure Log Analytics, and Azure Resource Manager.

Serverless refers to a cloud computing model where the cloud provider manages the infrastructure and automatically allocates resources as needed.

• Serverless computing allows developers to focus on writing code without worrying about managing servers or infrastructure.

• Resources are dynamically allocated and scaled based on demand, leading to cost efficiency.

• Examples of serverless platforms include AWS Lambda, Azure Functions, and Google Cloud Functions.

Data lake is a centralized repository for storing structured and unstructured data, while mesh is a network of interconnected services.

• Data lake stores raw data in its native format, while mesh connects various services and applications.

• Data lake is used for data storage and analytics, while mesh is used for communication and integration.

• Examples of data lake technologies include Amazon S3 and Hadoop, while examples of mesh technologies include Istio and Linkerd.

Azure Functions is a serverless compute service that allows you to run event-triggered code without managing infrastructure.

• Azure Functions allows you to write small pieces of code that run in response to events.

• It supports multiple programming languages like C#, JavaScript, Python, etc.

• Functions can be triggered by various events like HTTP requests, timers, queues, etc.

• Azure Functions automatically scales based on demand, so you only pay for what you use.

• You can easily integ...read more

Microservices are a software development technique where applications are composed of small, independent services that communicate with each other.

• Microservices break down applications into smaller, loosely coupled services

• Each service is responsible for a specific function and can be developed, deployed, and scaled independently

• Communication between services is typically done through APIs

• Examples of companies using microservices include Netflix, Amazon, and Uber

Encryption in S3 using SSL/TLS ensures data security during transit.

• SSL/TLS encryption can be enabled for data in transit to and from Amazon S3

• This encryption helps protect data from unauthorized access during transmission

• SSL/TLS encryption can be enforced by configuring S3 bucket policies or using AWS Key Management Service (KMS)

• Example: Enabling SSL/TLS encryption for S3 buckets using AWS KMS

• Example: Configuring bucket policies to enforce SSL/TLS encryption