Azure Interview Questions And Answers

Last Updated on August 2, 2024 by Arnav Sharma

Part 1 (1 to 45 Questions): 180 Azure Interview Questions And Answers in 2024

Part 2 (46 to 90 Questions): Azure Interview Questions And Answers – Part 2

Part 3 (90 to 134 Questions): Azure Interview Questions And Answers – Part 3

Part 4 (135 to 180 Questions): Azure Interview Questions And Answers – Part 4

91. Explain Azure Machine Learning.

Azure Machine Learning is a cloud-based service for building, training, and deploying machine learning models. It provides tools and frameworks for the entire machine learning lifecycle, including data preparation, model training, evaluation, deployment, and monitoring.

92. What is Azure Cognitive Services?

Azure Cognitive Services is a suite of AI services and APIs that enable developers to add intelligent features to applications. It includes services for vision, speech, language, decision-making, and web search, allowing applications to understand and interact with human language and behavior.

93. Explain Azure Traffic Manager.

Azure Traffic Manager is a DNS-based traffic load balancer that distributes incoming traffic across multiple endpoints globally. It improves availability and performance by directing client requests to the nearest or best-performing endpoint based on configured routing methods.

94. What is cspack in Azure?

cspack is a command-line utility in Azure that packages application files and configuration settings into a service package file (.cspkg). This package is then deployed to Azure Cloud Services for running applications in the cloud.

95. What do you understand by Azure Cognitive Services Containers?

Azure Cognitive Services Containers are Docker containers that allow you to deploy and run Azure Cognitive Services APIs locally or in any environment that supports Docker. This enables you to bring AI capabilities to your applications while maintaining data sovereignty and compliance.

96. Explain Azure app service. What are the different features and benefits of Azure app service?

Azure App Service is a fully managed platform for building, deploying, and scaling web apps, mobile backends, and APIs. Features and benefits include:

Multiple languages and frameworks: Supports .NET, Java, PHP, Node.js, Python, and more.
Built-in DevOps: Continuous integration and deployment with Azure DevOps, GitHub, and Bitbucket.
Auto-scaling and load balancing: Automatically scale applications based on demand.
Security: Built-in security features like SSL/TLS, authentication, and authorization.

97. Explain Azure time series insights.

Azure Time Series Insights is a fully managed analytics, storage, and visualization service for time-series data. It enables users to explore and analyze large volumes of time-stamped data from IoT devices, industrial equipment, and other sources, providing insights into trends, anomalies, and patterns.

98. What are the features of the Azure SQL Database?

Features of Azure SQL Database include:

Fully managed service: Automated backups, patching, and updates.
High availability: Built-in replication and failover capabilities.
Scalability: Easily scale up or down based on demand.
Advanced security: Data encryption, threat detection, and compliance certifications.
Performance monitoring: Tools for monitoring and optimizing query performance.

99. What is Azure Service Level Agreement (SLA)?

The Azure Service Level Agreement (SLA) is a formal agreement that guarantees a certain level of service uptime and connectivity. For most Azure services, the SLA guarantees at least 99.9% availability. If the service fails to meet this, customers are eligible for service credits.

100. What is Azure Storage service? What are the benefits of Azure Storage service?

Azure Storage is a scalable cloud storage solution for data storage, backup, and recovery. Benefits include:

Durability: Data is replicated for high availability.
Scalability: Scales to meet data storage needs.
Security: Advanced security features like encryption and access control.
Cost-efficiency: Pay-as-you-go pricing model.
Integration: Seamless integration with other Azure services.

101. What is the difference between Azure and AWS?

Azure and AWS are both leading cloud service providers, but they differ in several aspects:

Vendor: Azure is from Microsoft, while AWS is from Amazon.
Service offerings: Both offer a wide range of services, but specific services and features may differ.
Hybrid cloud support: Azure has strong integration with on-premises Microsoft products.
Pricing: Pricing models and costs can vary, so users should compare based on specific needs.
Ecosystem: Azure integrates well with other Microsoft products, while AWS has a broader range of third-party integrations.

102. What are Azure Resource Manager templates?

Azure Resource Manager (ARM) templates are JSON files that define the infrastructure and configuration for Azure resources. They allow you to deploy, manage, and configure resources consistently and repeatedly using infrastructure-as-code principles.

103. What do you understand by Azure Pipelines?

Azure Pipelines is a CI/CD service in Azure DevOps that automates the building, testing, and deployment of applications. It supports multiple programming languages and platforms, enabling continuous integration and delivery to any cloud or on-premises environment.

104. How is Azure DevTest Labs helpful in reliable testing?

Azure DevTest Labs provides environments for developing, testing, and running applications without worrying about infrastructure management. It allows you to quickly create and manage virtual machines, reduce waste with quotas and policies, and integrate with CI/CD pipelines for reliable testing.

105. What is the Azure Functions premium plan?

The Azure Functions premium plan provides enhanced performance and advanced features for running serverless functions. It offers features like VNET integration, unlimited execution duration, premium hardware, and scaling based on pre-warmed instances, ensuring better performance and reliability.

106. What is the Azure Monitor used for?

Azure Monitor is a comprehensive monitoring service for collecting, analyzing, and acting on telemetry data from Azure resources and applications. It helps identify and diagnose issues, monitor performance, and gain insights into the health and availability of resources.

107. What does NSG mean?

NSG stands for Network Security Group. It is used to manage and control inbound and outbound traffic to Azure resources in a virtual network. NSGs contain security rules that allow or deny network traffic based on source and destination IP address, port, and protocol.

108. What is Azure ExpressRoute?

Azure ExpressRoute is a service that enables private connections between Azure data centers and on-premises infrastructure or colocation environments. It provides secure, reliable, and high-bandwidth connectivity, bypassing the public internet and offering consistent network performance.

109. What do you understand by Azure CDN?

Azure Content Delivery Network (CDN) is a service for delivering high-bandwidth content to users globally. It caches content at strategically placed edge locations, reducing latency and improving performance by delivering content from the nearest CDN server to the user.

110. What is Azure AD Connect primarily used for?

Azure AD Connect is a tool for integrating on-premises directories (like Active Directory) with Azure Active Directory. It enables synchronization of user identities, passwords, and groups, allowing seamless single sign-on (SSO) and access to cloud and on-premises applications.

111. Explain Azure Batch.

Azure Batch is a cloud service for running large-scale parallel and high-performance computing (HPC) applications efficiently. It enables you to schedule and manage jobs, distribute workloads across a pool of VMs, and process tasks in parallel, making it ideal for compute-intensive workloads.

112. What is the Azure Cognitive Search service?

Azure Cognitive Search is a fully managed search-as-a-service solution that enables developers to build rich search experiences into applications. It provides powerful and scalable search capabilities on the Azure platform, including full-text search, indexing, filtering, and cognitive skills for AI-powered search.

113. What is the purpose of Azure Migrate?

Azure Migrate is a service that helps in discovering, assessing, and migrating on-premises applications, infrastructure, and data to Azure. It provides tools and guidance for migration planning, execution, and optimization, simplifying the migration process.

114. How does Azure support IoT development?

Azure supports IoT development through services like:

Azure IoT Hub: Manages IoT devices and enables bi-directional communication.
Azure IoT Central: Simplifies IoT solution development with a fully managed SaaS offering.
Azure Time Series Insights: Analyzes and visualizes time-series data from IoT devices.
Azure Digital Twins: Models and monitors physical environments.
Azure Stream Analytics: Processes real-time data from IoT devices.

115. What is Azure IoT Central?

Azure IoT Central is a fully managed SaaS solution that simplifies the development, deployment, and management of IoT solutions. It provides built-in IoT application templates, device connectivity, data visualization, and integration with other Azure services, enabling quick and efficient IoT development.

116. How is Azure Data Share helpful in sharing data and resources securely?

Azure Data Share is a service that enables secure and controlled data sharing between organizations. It allows data providers to share data in a managed way, with fine-grained access control, auditing, and monitoring, ensuring data privacy and compliance.

117. What do you understand by Azure Digital Twins? What are the features provided by Azure Digital Twins?

Azure Digital Twins is a platform for creating digital models of physical environments. Features include:

Modeling: Define the relationships and interactions between people, spaces, and devices.
Data Integration: Connect data from IoT devices, sensors, and other sources.
Analytics: Analyze and visualize data to gain insights.
Simulation: Simulate changes and predict outcomes in the digital model.
Integration: Integrate with other Azure services for data processing and analytics.

118. What is the Azure Spring cloud service used for?

Azure Spring Cloud is a fully managed service for deploying and running Spring Boot applications. It simplifies microservices development with built-in features like service discovery, configuration management, monitoring, and scaling, allowing developers to focus on building applications.

119. Explain the Azure Container Registry. What are the benefits of Azure container registry?

Azure Container Registry is a managed Docker container registry service. Benefits include:

Integration: Seamless integration with Azure Kubernetes Service (AKS) and other Azure services.
Security: Advanced security features like image scanning and content trust.
Scalability: Automatically scales to handle large volumes of container images.
Geo-replication: Distributes container images across multiple regions for high availability.

120. What is Azure Stack Hub?

Azure Stack Hub is a hybrid cloud platform that enables organizations to run Azure services in their own data centers. It extends Azure’s capabilities on-premises, providing a consistent cloud environment for running applications and managing workloads across public and private clouds.

121. What are the benefits of using Azure Traffic Manager?

Benefits of using Azure Traffic Manager include:

Improved availability: Distributes traffic across multiple endpoints, ensuring high availability.
Performance optimization: Routes traffic to the nearest or best-performing endpoint.
Automatic failover: Redirects traffic to healthy endpoints in case of failure.
Flexible routing: Supports various traffic-routing methods for different scenarios.

122. What are the primary components of Azure Stack Edge?

Primary components of Azure Stack Edge include:

Azure Stack Edge device: Hardware appliance for running edge computing workloads.
Azure portal: Management interface for configuring and monitoring the device.
Compute: Ability to run VMs, containers, and Azure services at the edge.
Storage: Local storage for data processing and caching.
AI capabilities: Built-in support for running AI models at the edge.

123. How does Azure Synapse Analytics help businesses with complex data analytics requirements?

Azure Synapse Analytics is a unified analytics service that combines big data and data warehousing capabilities. It helps businesses with complex data analytics by providing:

Integrated platform: Combines data integration, data warehousing, and big data analytics.
Scalability: Scales compute and storage resources independently.
Advanced analytics: Supports machine learning, data exploration, and visualization.
Security: Provides advanced security features and compliance certifications.
Performance: Delivers high performance with on-demand and provisioned resources.

124. Explain Azure Durable Functions.

Azure Durable Functions is an extension of Azure Functions that enables writing stateful workflows in a serverless environment. It allows you to define workflows using code, manage long-running processes, and maintain state across function executions, supporting patterns like function chaining and fan-out/fan-in.

125. Explain Azure Blueprints.

Azure Blueprints is a service that helps define and deploy a repeatable set of Azure resources and policies. It enables organizations to automate the setup of environments, ensuring compliance and governance by applying consistent configurations, security controls, and resource templates.

126. What is the difference between Azure blueprint and Azure template?

Azure Blueprint: A higher-level construct that includes ARM templates, policies, role assignments, and resources for defining and deploying entire environments.
Azure Template: A JSON file used to define and deploy individual Azure resources using Azure Resource Manager (ARM).

127. What is Azure Dedicated Host, and how does it differ from other Azure deployment options?

Azure Dedicated Host is a service that provides dedicated physical servers for hosting your Azure VMs. It differs from other Azure deployment options by offering:

Physical isolation: Dedicated hardware for enhanced security and compliance.
Control: Full control over the host, including maintenance schedules and hardware configurations.
Licensing: Ability to bring your own licenses for software like Windows Server and SQL Server.

128. How can you use Azure Files to enable file sharing across multiple virtual machines or cloud services?

Azure Files provides fully managed file shares accessible via the SMB protocol. You can create an Azure File share, configure access permissions, and mount the share on multiple virtual machines or cloud services, enabling shared access to files and directories.

129. What is Azure Information Protection? What are the key features of Azure Information Protection?

Azure Information Protection (AIP) is a cloud-based solution for classifying, labeling, and protecting sensitive information. Key features include:

Classification: Automatic and manual classification of data based on sensitivity.
Labeling: Applying labels to documents and emails to indicate their sensitivity.
Protection: Encrypting and restricting access to sensitive data.
Tracking: Monitoring and auditing access to protected data.
Integration: Seamless integration with Microsoft 365 and other applications.

130. What is Azure NetApp Files?

Azure NetApp Files is a managed file storage service that provides high performance and enterprise-grade features for running file-based workloads. It supports NFS and SMB protocols, offering advanced data management capabilities like snapshots, cloning, and replication.

131. How does Azure support machine learning?

Azure supports machine learning through services like:

Azure Machine Learning: A comprehensive platform for building, training, and deploying machine learning models.
Azure Databricks: An analytics platform optimized for Spark, enabling data engineering and machine learning.
Azure Cognitive Services: Pre-built AI models for vision, speech, language, and decision-making.
Azure Synapse Analytics: Integrated data analytics and machine learning capabilities.

132. What are the prominent use cases for Azure Machine Learning?

Prominent use cases for Azure Machine Learning include:

Predictive maintenance: Predicting equipment failures and scheduling maintenance.
Fraud detection: Identifying fraudulent transactions and activities.
Customer segmentation: Analyzing customer data to create targeted marketing campaigns.
Recommendation systems: Providing personalized recommendations for products and services.
Healthcare analytics: Analyzing medical data for diagnosis and treatment recommendations.

133. What is the role of the Azure Key Vault and demonstrate how to store and retrieve a secret using the Azure SDK for .NET.

Azure Key Vault is a service for securely storing and managing cryptographic keys, secrets, and certificates. To store and retrieve a secret using the Azure SDK for .NET:

using Azure.Identity;
using Azure.Security.KeyVault.Secrets;

// Create a new secret client
var client = new SecretClient(new Uri("https://<your-key-vault-name>.vault.azure.net/"), new DefaultAzureCredential());

// Store a secret
client.SetSecret("MySecretName", "MySecretValue");

// Retrieve a secret
KeyVaultSecret secret = client.GetSecret("MySecretName");
Console.WriteLine($"Secret Value: {secret.Value}");

134. How does Azure Advisor help in optimizing your Azure framework?

Azure Advisor provides personalized recommendations for optimizing your Azure resources based on best practices. It helps improve performance, security, availability, and cost efficiency by analyzing resource configurations and usage patterns and providing actionable insights.

ByArnav Sharma