Microsoft AZ-900 Azure Fundamentals Exam Dumps and Practice Test Questions Set 2 Q21-40

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Question 21:

Which Azure service provides a platform for building, deploying, and scaling web applications and APIs without managing the underlying infrastructure?

A) Azure App Service
B) Azure Virtual Machines
C) Azure Kubernetes Service
D) Azure Functions

Answer:

A) Azure App Service

Explanation:

Azure App Service is a fully managed platform that allows developers and organizations to build, deploy, and scale web applications, APIs, and mobile backends without the need to manage the underlying infrastructure. As a Platform as a Service (PaaS), it abstracts server maintenance, operating system patching, network configuration, and scaling, enabling developers to focus entirely on application development. App Service supports multiple programming languages and frameworks, including .NET, Java, Python, Node.js, and PHP. It also supports containerized applications, giving organizations flexibility to deploy modern, cloud-native applications.

Azure Virtual Machines, as an Infrastructure as a Service (IaaS), requires manual management of servers, operating systems, updates, scaling, and network configuration, making it more complex and time-consuming for hosting web applications compared to PaaS. Azure Kubernetes Service provides container orchestration for complex, multi-container applications but requires specialized knowledge and operational management, which is more advanced than standard web application hosting needs. Azure Functions is a serverless compute service designed for event-driven tasks and microservices, suitable for small or on-demand workloads but not ideal for full-scale web applications with persistent hosting requirements.

Azure App Service offers features such as automatic scaling based on traffic demand, load balancing, deployment slots for staging and production environments, and integrated DevOps pipelines for continuous integration and deployment. Security features include authentication and authorization integration, SSL/TLS certificates, virtual network integration, and monitoring capabilities for application performance and uptime. These features allow organizations to deploy secure, reliable, and scalable web applications quickly, reduce operational overhead, and ensure high availability and resiliency.

By using Azure App Service, organizations can accelerate development cycles, reduce infrastructure management responsibilities, and provide a consistent, high-quality user experience. It is particularly useful for hosting public-facing websites, internal web applications, APIs, and mobile app backends. App Service also integrates seamlessly with other Azure services, including Azure SQL Database, Azure Storage, Azure Key Vault, and monitoring tools, providing a complete cloud-native application hosting environment that supports modern development practices, security requirements, and scalability needs.

Question 22:

Which Azure service allows organizations to analyze large datasets and perform analytics using a serverless, fully managed data warehouse?

A) Azure Synapse Analytics
B) Azure SQL Database
C) Azure Cosmos DB
D) Azure Data Lake Storage

Answer:

A) Azure Synapse Analytics

Explanation:

Azure Synapse Analytics is a cloud-based analytics platform that combines big data and data warehousing capabilities into a single service. It enables organizations to ingest, store, manage, and analyze large volumes of structured and unstructured data from multiple sources. The platform provides both serverless on-demand query capabilities and provisioned compute resources for high-performance analytics, giving flexibility for varying workloads and cost optimization.

Azure SQL Database is a relational database designed for transactional workloads and smaller-scale analytics. While it supports analytical queries, it lacks the scalability and big data integration capabilities offered by Synapse Analytics. Azure Cosmos DB is a globally distributed NoSQL database optimized for low-latency transactions and high availability but is not intended for large-scale analytical workloads. Azure Data Lake Storage provides highly scalable storage for structured, semi-structured, and unstructured data, but it does not provide native query and analytics processing capabilities.

Synapse Analytics integrates seamlessly with other Azure services, such as Azure Data Factory for ETL processes, Power BI for visualization, and Azure Machine Learning for predictive analytics. It allows organizations to query data using serverless on-demand SQL, Spark, or other analytics engines without provisioning dedicated infrastructure. This enables rapid insights from large datasets while minimizing costs. Security features include data encryption at rest and in transit, role-based access control, managed identities, and auditing for compliance purposes.

Organizations use Synapse Analytics to perform complex analytics on massive datasets, generate business intelligence reports, identify trends, and support data-driven decision-making. It is commonly used for scenarios such as financial analytics, IoT telemetry analysis, customer behavior tracking, and operational intelligence. By providing a unified analytics platform that combines data ingestion, storage, processing, and visualization, Synapse Analytics simplifies the analytics workflow, improves operational efficiency, and accelerates actionable insights.

Question 23:

Which Azure service provides a scalable and resilient object storage solution for unstructured data?

A) Azure Blob Storage
B) Azure File Storage
C) Azure Queue Storage
D) Azure Table Storage

Answer:

A) Azure Blob Storage

Explanation:

Azure Blob Storage is a fully managed, scalable object storage service designed to store large amounts of unstructured data, such as text, images, videos, backups, and log files. It is optimized for storing data that does not adhere to a traditional database schema, making it ideal for media content, analytics workloads, and archival storage. Blob Storage provides multiple storage tiers—hot, cool, and archive—allowing organizations to optimize storage costs based on how frequently data is accessed.

Azure File Storage provides shared file storage accessible via the SMB protocol, which is better suited for lift-and-shift scenarios or legacy applications requiring file shares. Azure Queue Storage offers reliable messaging for asynchronous communication between application components but is not suitable for storing large unstructured objects. Azure Table Storage is a NoSQL key-value store for structured datasets, which cannot handle large binary objects efficiently.

Blob Storage integrates seamlessly with other Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning, enabling analytics and AI workloads to access massive amounts of data efficiently. Security features include encryption at rest, encryption in transit, role-based access control, and integration with Azure Active Directory for fine-grained access management. Organizations commonly use Blob Storage for backup and recovery, big data analytics, content delivery, and long-term archival. Its highly available and durable architecture ensures data resilience, while integration with CDN and storage replication options enables global distribution and high performance.

By using Azure Blob Storage, enterprises can store petabytes of unstructured data reliably, scale storage on demand, reduce operational overhead, and leverage data for analytics, AI, and business intelligence applications. It is a fundamental component of cloud-native architectures and a key service for modern data-driven organizations.

Question 24:

Which Azure service provides a fully managed platform for running event-driven serverless applications?

A) Azure Functions
B) Azure App Service
C) Azure Logic Apps
D) Azure Service Bus

Answer:

A) Azure Functions

Explanation:

Azure Functions is a serverless compute platform that allows organizations to run small pieces of code, known as functions, in response to events without managing servers or infrastructure. Functions are triggered by events such as HTTP requests, database changes, messages in queues, or scheduled timers, making it ideal for event-driven and microservices architectures. The serverless model provides automatic scaling based on demand and charges only for compute resources consumed during execution, optimizing cost efficiency.

Azure App Service is suitable for hosting web applications and APIs but is not primarily event-driven. Azure Logic Apps automates workflows and integrates applications, but it focuses on orchestration rather than running custom code. Azure Service Bus is a messaging platform for decoupling application components but does not provide compute capabilities.

Azure Functions supports multiple programming languages, including C#, Python, JavaScript, and PowerShell. It integrates with Azure Storage, Event Hub, Service Bus, and Cosmos DB, allowing developers to handle events, perform data transformations, or execute business logic automatically. Durable Functions extend capabilities by supporting stateful workflows, long-running processes, and chaining multiple functions together. Azure Functions integrates with CI/CD pipelines, monitoring tools, and authentication services to ensure secure, maintainable, and reliable execution. Organizations use Functions for real-time data processing, automated workflows, IoT telemetry processing, file processing, and backend services for applications.

By using Azure Functions, businesses can achieve scalable, event-driven architectures with minimal operational overhead, respond to events in real time, and focus on business logic rather than infrastructure management. This approach supports modern cloud-native development patterns and helps organizations build responsive, cost-efficient, and highly scalable applications.

Question 25:

Which Azure service provides a fully managed platform for hosting containerized applications with orchestration?

A) Azure Kubernetes Service
B) Azure App Service
C) Azure Functions
D) Azure Container Instances

Answer:

A) Azure Kubernetes Service

Explanation:

Azure Kubernetes Service (AKS) is a fully managed container orchestration platform that allows organizations to deploy, scale, and manage containerized applications in the cloud. AKS provides automated management for Kubernetes clusters, including updates, scaling, monitoring, and integrated networking, storage, and security features. Kubernetes orchestrates containers, enabling service discovery, load balancing, automated rollouts, self-healing, and horizontal scaling, which is ideal for complex, multi-container applications.

Azure App Service can host containerized applications but does not provide full orchestration capabilities. Azure Functions is serverless and event-driven but not suitable for managing multi-container workloads. Azure Container Instances allow for quick deployment of single containers without orchestration, but they do not provide the advanced management, scaling, and resiliency features of AKS.

AKS integrates with Azure DevOps, CI/CD pipelines, monitoring tools, and security services to enable automated deployment, scaling, and management of containerized workloads. Security features include role-based access control, network policies, and Azure Active Directory integration. Organizations use AKS for microservices architectures, batch processing, IoT applications, and hybrid cloud workloads, benefiting from high availability, automated recovery, and efficient resource utilization.

By using AKS, enterprises can standardize the deployment of containerized applications, simplify operational complexity, scale efficiently, and build resilient, cloud-native solutions. It enables businesses to leverage Kubernetes’ orchestration features without the overhead of managing the underlying infrastructure.

Question 26:

Which Azure service provides a centralized platform to manage identities, authentication, and access control for Azure resources and cloud applications?

A) Azure Active Directory
B) Azure Key Vault
C) Azure Policy
D) Azure Monitor

Answer:

A) Azure Active Directory

Explanation:

Azure Active Directory (Azure AD) is a cloud-based identity and access management service that allows organizations to manage user identities, authenticate access, and control permissions across cloud and on-premises applications. It serves as a centralized platform for enforcing secure access policies, enabling single sign-on (SSO), and supporting multi-factor authentication (MFA) for enhanced security.

Azure AD integrates with Microsoft 365, Dynamics 365, and thousands of third-party SaaS applications, allowing users to use one set of credentials to access multiple systems. For hybrid environments, it can synchronize with on-premises Active Directory, enabling seamless identity management across local and cloud systems.

Option B, Azure Key Vault, is focused on securely storing secrets, cryptographic keys, and certificates but does not handle user authentication or access control. Option C, Azure Policy, enforces compliance rules and governance for Azure resources but does not provide identity or authentication services. Option D, Azure Monitor, collects metrics and telemetry but does not manage identities.

Azure AD supports features like conditional access, self-service password reset, role-based access control, and identity protection to safeguard user accounts. Integration with security tools allows organizations to monitor sign-ins, detect unusual activity, and respond to potential threats. By centralizing identity management, Azure AD helps organizations improve security, simplify administration, and provide users with seamless access to applications, reducing the risk of unauthorized access and enhancing operational efficiency.

Question 27:

Which Azure service provides a fully managed relational database with high availability, scalability, and built-in intelligence features?

A) Azure SQL Database
B) Azure Cosmos DB
C) Azure Database for MySQL
D) Azure Table Storage

Answer:

A) Azure SQL Database

Explanation:

Azure SQL Database is a fully managed relational database service that allows organizations to host relational data in the cloud with high availability, security, and scalability. As a Platform as a Service (PaaS), it abstracts infrastructure management, including patching, backups, and maintenance, enabling developers to focus on application development rather than database administration.

Option B, Azure Cosmos DB, is a globally distributed NoSQL database suitable for high availability and low-latency applications, but it is not a relational database. Option C, Azure Database for MySQL, is fully managed but specific to MySQL workloads. Option D, Azure Table Storage is a NoSQL key-value store for structured data and does not provide relational database capabilities.

Azure SQL Database provides built-in features such as automatic tuning, threat detection, and performance monitoring. It supports dynamic scaling to handle varying workloads, and offers replication and geo-redundancy to ensure high availability. Security features include encryption at rest and in transit, role-based access control, auditing, and virtual network integration. Organizations use Azure SQL Database to host transactional applications, enterprise solutions, and business intelligence workloads. Its integration with Azure services like Power BI, Logic Apps, and Synapse Analytics allows seamless data flow for analytics, reporting, and automated workflows. By using Azure SQL Database, businesses can deploy enterprise-grade relational databases in the cloud without the complexity of traditional database management.

Question 28:

Which Azure service allows organizations to create, schedule, and automate workflows across multiple applications and services?

A) Azure Logic Apps
B) Azure Functions
C) Azure DevOps
D) Azure Automation

Answer:

A) Azure Logic Apps

Explanation:

Azure Logic Apps is a cloud-based platform that enables organizations to automate business processes and integrate applications, data, and services across cloud and on-premises environments. Logic Apps use a visual designer to create workflows composed of triggers and actions. Triggers initiate workflows in response to events such as new emails, database updates, or HTTP requests. Actions are steps that execute as part of the workflow, including sending notifications, updating records, or calling APIs.

Option B, Azure Functions, executes code in response to events but does not provide workflow orchestration across multiple systems. Option C, Azure DevOps, is focused on software development lifecycle management and CI/CD pipelines rather than automating multi-system workflows. Option D, Azure Automation, is primarily for administrative task automation in Azure but lacks the extensive integration capabilities of Logic Apps.

Logic Apps integrate with hundreds of connectors for Microsoft 365, Dynamics 365, Salesforce, SQL Server, and more. It supports error handling, conditional logic, loops, and parallel execution to ensure reliable workflow automation. Security and compliance are managed with role-based access control, encryption, and monitoring integration. Organizations leverage Logic Apps to reduce manual processes, ensure consistent execution of business operations, and improve operational efficiency. Common use cases include invoice processing, data synchronization between systems, IT incident response, and automated notifications. Logic Apps provides organizations with a scalable, secure, and cost-effective way to implement automated workflows across disparate systems, improving reliability and productivity.

Question 29:

Which Azure service provides real-time analytics and telemetry ingestion for large-scale data streams?

A) Azure Event Hub
B) Azure Cosmos DB
C) Azure Blob Storage
D) Azure SQL Database

Answer:

A) Azure Event Hub

Explanation:

Azure Event Hub is a fully managed, real-time data ingestion service that enables organizations to ingest millions of events per second from multiple sources, including applications, IoT devices, and logs. Event Hub acts as a central stream for collecting telemetry and event data, enabling downstream systems to process and analyze the data in real time.

Option B, Azure Cosmos DB, is a globally distributed NoSQL database optimized for low-latency transactional workloads but is not designed for high-volume streaming ingestion. Option C, Azure Blob Storage, provides scalable object storage but is intended for data at rest, not real-time streaming. Option D, Azure SQL Database is a relational database service and cannot handle high-throughput telemetry ingestion at scale.

Event Hub partitions data to allow multiple consumers to process the same stream independently. It supports checkpointing, data retention, and integration with Azure Stream Analytics, Azure Databricks, and Azure Functions for real-time processing. Security features include shared access policies, encryption, and role-based access control. Event Hub is commonly used for IoT telemetry, operational monitoring, application logs, and analytics pipelines. It ensures high reliability, scalability, and low latency for large-scale event-driven systems. Organizations can leverage Event Hub to process massive datasets efficiently, enabling real-time decision-making, monitoring, and analytics across distributed environments.

Question 30:

Which Azure service allows organizations to manage and deploy cloud resources using templates and declarative definitions?

A) Azure Resource Manager
B) Azure Policy
C) Azure DevOps
D) Azure Monitor

Answer:

A) Azure Resource Manager

Explanation:

Azure Resource Manager (ARM) is the deployment and management service for Azure resources that enables organizations to provision, configure, and manage resources using templates and declarative definitions. ARM allows for Infrastructure as Code (IaC), meaning virtual machines, networks, storage accounts, databases, and other resources can be defined in JSON or Bicep templates and deployed repeatedly with predictable outcomes.

Option B, Azure Policy, enforces compliance and governance rules but does not deploy resources. Option C, Azure DevOps manages CI/CD pipelines and development workflows but does not inherently define or deploy infrastructure. Option D, Azure Monitor collects telemetry and metrics but does not deploy resources.

ARM templates manage dependencies, resource configurations, and access policies. They allow version control, modular design, rollback, and auditing to ensure consistent, repeatable deployments. ARM integrates with CI/CD pipelines, enabling automated deployment and management of Azure resources. Organizations use ARM to implement standardized, secure, and scalable cloud environments. It simplifies infrastructure provisioning, reduces human error, and ensures consistent configuration across environments. By using ARM, enterprises can automate deployments, maintain governance, and achieve operational efficiency for complex Azure architectures.

Question 31:

Which Azure service provides a global Content Delivery Network (CDN) to deliver high-bandwidth content to users with low latency?

A) Azure CDN
B) Azure Traffic Manager
C) Azure Front Door
D) Azure Load Balancer

Answer:

A) Azure CDN

Explanation:

Azure Content Delivery Network (CDN) is a global service designed to deliver high-bandwidth content such as videos, images, scripts, and applications to users with low latency. It caches content at strategically located edge nodes worldwide, reducing latency and providing a faster, more responsive user experience. By distributing content closer to end-users, Azure CDN reduces the load on origin servers and improves scalability for high-traffic applications.

Option B, Azure Traffic Manager, directs traffic across multiple endpoints to optimize availability and performance but does not cache content for low-latency delivery. Option C, Azure Front Door, is a global application delivery service with dynamic routing, security, and web application acceleration but focuses more on intelligent routing rather than pure CDN caching. Option D, Azure Load Balancer, distributes traffic across virtual machines in a region but does not provide global caching or content delivery.

Azure CDN integrates with Azure Storage, Web Apps, Media Services, and custom origins, providing seamless acceleration for static and dynamic content. Security features include HTTPS delivery, token authentication, geo-filtering, and integration with Web Application Firewall (WAF) for additional protection. Organizations use Azure CDN to improve performance for global users, reduce bandwidth costs, and ensure high availability during traffic spikes. It is commonly applied to web applications, streaming media, software distribution, and e-commerce platforms. By leveraging Azure CDN, businesses can enhance user experience, scale efficiently, and ensure reliable delivery of content worldwide.

Question 32:

Which Azure service provides a secure, scalable, and fully managed platform for building Internet of Things (IoT) solutions?

A) Azure IoT Hub
B) Azure Event Hub
C) Azure Stream Analytics
D) Azure Logic Apps

Answer:

A) Azure IoT Hub

Explanation:

Azure IoT Hub is a fully managed platform that enables organizations to connect, monitor, and manage billions of IoT devices securely. It provides bidirectional communication, allowing devices to send telemetry data to the cloud and receive commands from applications. IoT Hub supports multiple protocols including MQTT, AMQP, and HTTPS, ensuring compatibility with a wide range of IoT devices and solutions.

Option B, Azure Event Hub, is designed for large-scale event ingestion but does not provide device management or bidirectional communication for IoT. Option C, Azure Stream Analytics, processes and analyzes real-time data streams but does not handle device connectivity or management. Option D, Azure Logic Apps, automates workflows across applications but is not specifically designed for IoT solutions.

IoT Hub enables features such as device provisioning, identity management, secure communication, and automatic updates. It integrates with Azure services like Stream Analytics, Cosmos DB, Synapse Analytics, and Machine Learning to create end-to-end IoT solutions. Organizations use IoT Hub to implement predictive maintenance, smart manufacturing, connected vehicles, and remote monitoring solutions. Security and compliance are ensured through per-device authentication, encryption of data in transit, and integration with Azure Security Center for IoT. By leveraging IoT Hub, businesses can build scalable and secure IoT applications that reliably ingest, process, and analyze device data while maintaining operational control and compliance.

Question 33:

Which Azure service allows organizations to enforce governance rules and compliance standards across Azure resources?

A) Azure Policy
B) Azure Security Center
C) Azure Resource Manager
D) Azure Monitor

Answer:

A) Azure Policy

Explanation:

Azure Policy is a governance service that allows organizations to define and enforce rules and compliance standards for Azure resources. It ensures that resources are deployed and configured according to organizational policies, regulatory requirements, or industry standards. Policies can prevent misconfigurations, enforce tagging, control allowed regions, and restrict resource types.

Option B, Azure Security Center, monitors security posture and detects threats but does not define governance rules for resource configuration. Option C, Azure Resource Manager, is used for deploying and managing resources but does not enforce compliance policies. Option D, Azure Monitor, collects telemetry and metrics but does not manage governance or compliance.

Azure Policy supports initiatives, which are groups of policies that simplify governance management across large environments. Compliance reports help administrators track resources that meet or violate policies. It integrates with Azure Blueprints to ensure that deployments meet organizational and regulatory standards from the outset. Organizations use Azure Policy to prevent unauthorized configurations, maintain consistency, improve security, and ensure compliance across subscriptions. By leveraging Azure Policy, businesses can enforce best practices, reduce operational risk, and maintain governance at scale across all Azure resources.

Question 34:

Which Azure service provides a managed platform for deploying virtual desktops and remote applications to users securely?

A) Azure Virtual Desktop
B) Azure Virtual Machines
C) Azure App Service
D) Azure Bastion

Answer:

A) Azure Virtual Desktop

Explanation:

Azure Virtual Desktop (AVD) is a fully managed desktop and application virtualization service that allows organizations to deliver Windows desktops and applications to users from the cloud securely. Users can access desktops and apps from any device, including Windows, macOS, iOS, Android, or web browsers, providing flexibility for remote work and BYOD scenarios.

Option B, Azure Virtual Machines, can host desktops but requires management of individual VMs and scaling, making it less efficient for enterprise virtual desktop deployment. Option C, Azure App Service, hosts web applications and APIs but does not provide virtual desktops. Option D, Azure Bastion, provides secure RDP and SSH access to VMs but does not deliver a complete virtual desktop solution.

Azure Virtual Desktop integrates with Microsoft 365, Teams, and OneDrive for a seamless user experience. Features include multi-session Windows 10/11 desktops, FSLogix profile containers for user profiles, autoscaling, and built-in security with conditional access and MFA. Organizations use AVD to reduce infrastructure costs, enhance security, support remote work, and centralize management of desktops and applications. It enables enterprises to provide a consistent desktop environment, ensure compliance, and scale resources according to demand.

Question 35:

Which Azure service provides a fully managed, real-time analytics platform for processing large-scale streaming data?

A) Azure Stream Analytics
B) Azure Event Hub
C) Azure Synapse Analytics
D) Azure Data Factory

Answer:

A) Azure Stream Analytics

Explanation:

Azure Stream Analytics is a fully managed, real-time analytics service that allows organizations to process and analyze high-volume streaming data from multiple sources such as devices, applications, and logs. It supports SQL-like queries to filter, aggregate, and transform streaming data in real time, enabling organizations to gain immediate insights and trigger actions automatically.

Option B, Azure Event Hub, is primarily an event ingestion platform and does not perform real-time analytics on the data. Option C, Azure Synapse Analytics, is focused on batch analytics and large-scale data warehousing rather than real-time streaming. Option D, Azure Data Factory, is an ETL service for orchestrating data movement and transformations but does not support low-latency stream processing.

Stream Analytics integrates with Event Hub, IoT Hub, and Blob Storage to ingest data and output to multiple destinations, including Power BI, Azure SQL Database, and Cosmos DB. It enables anomaly detection, real-time dashboards, alerts, and predictive analytics. Security features include data encryption at rest and in transit, managed identities, and role-based access control. Organizations use Stream Analytics for IoT telemetry, fraud detection, social media monitoring, and operational intelligence. By leveraging Stream Analytics, businesses can process streaming data at scale, react in real time to changing conditions, and derive actionable insights to drive decision-making and operational efficiency.

Question 36:

Which Azure service provides a fully managed platform for storing and retrieving secrets, keys, and certificates securely?

A) Azure Key Vault
B) Azure Security Center
C) Azure Active Directory
D) Azure Storage

Answer:

A) Azure Key Vault

Explanation:

Azure Key Vault is a cloud-based service that allows organizations to securely store and manage sensitive information, including secrets, cryptographic keys, and certificates. It provides centralized management of secrets, reducing the risk of accidental exposure and improving overall security posture. Key Vault integrates with applications, virtual machines, and other Azure services to allow seamless access to secrets while maintaining strict access control policies.

Option B, Azure Security Center, monitors and assesses security across Azure resources but does not store secrets. Option C, Azure Active Directory, manages identities and access but is not designed to handle cryptographic keys or secrets. Option D, Azure Storage, provides object storage but lacks built-in secret management and encryption key control.

Key Vault provides features such as hardware security module (HSM) backing, role-based access control (RBAC), and auditing capabilities to comply with regulatory standards. Organizations can use Key Vault to store API keys, passwords, connection strings, and certificates securely, ensuring that applications can retrieve sensitive data programmatically without exposing it to users or developers. Key Vault also supports key rotation and integrates with Azure Managed Identities, enabling applications to authenticate to Azure services without embedding credentials. By centralizing secret management, organizations reduce operational risk, enhance compliance, and secure access to critical information while enabling automation and integration with modern DevOps workflows.

Question 37:

Which Azure service provides monitoring, diagnostics, and analytics for applications and infrastructure in real time?

A) Azure Monitor
B) Azure Security Center
C) Azure Advisor
D) Azure Policy

Answer:

A) Azure Monitor

Explanation:

Azure Monitor is a comprehensive monitoring service that collects, analyzes, and acts on telemetry from Azure resources, applications, and on-premises systems. It helps organizations maintain performance, availability, and security by providing real-time insights into operational health, metrics, and logs. Azure Monitor supports data collection from virtual machines, databases, storage accounts, networking components, and custom applications.

Option B, Azure Security Center, focuses on assessing and improving security posture but does not provide comprehensive monitoring for performance and diagnostics. Option C, Azure Advisor, offers recommendations for optimizing resources but does not provide real-time monitoring or analytics. Option D, Azure Policy, enforces governance rules rather than collecting operational metrics.

Azure Monitor provides features such as metrics, logs, alerts, dashboards, and analytics. It integrates with Azure Application Insights to monitor application performance and diagnose issues, including response times, error rates, and dependencies. Organizations can set up proactive alerts for threshold breaches or anomalous behavior, and automate actions through Azure Logic Apps or Functions. By using Azure Monitor, businesses gain visibility into the health and performance of their infrastructure and applications, reduce downtime, optimize resources, and improve the overall user experience. This service is critical for maintaining operational efficiency, troubleshooting incidents quickly, and supporting data-driven decision-making.

Question 38:

Which Azure service provides a fully managed distributed database that supports multiple data models and global replication?

A) Azure Cosmos DB
B) Azure SQL Database
C) Azure Table Storage
D) Azure Database for PostgreSQL

Answer:

A) Azure Cosmos DB

Explanation:

Azure Cosmos DB is a globally distributed, multi-model database service designed for high availability, low latency, and scalability. It supports multiple data models, including key-value, document, column-family, and graph databases, making it flexible for various application scenarios. Cosmos DB automatically replicates data across multiple regions to ensure high availability and disaster recovery.

Option B, Azure SQL Database, is a relational database service with strong consistency but does not natively support global distribution or multiple data models. Option C, Azure Table Storage, is a simple NoSQL key-value store but lacks global replication and advanced database features. Option D, Azure Database for PostgreSQL, is a managed relational database service but does not provide multi-model support or global replication out of the box.

Cosmos DB provides features like multi-region writes, configurable consistency levels, automatic indexing, and integration with serverless computing services such as Azure Functions. It is used in scenarios requiring massive scale, low-latency reads and writes, and global reach, such as e-commerce platforms, IoT telemetry, gaming backends, and social applications. Security is enhanced through encryption at rest and in transit, network isolation, and fine-grained access control. By leveraging Cosmos DB, organizations can build modern, globally distributed applications with predictable performance, high availability, and operational resilience.

Question 39:

Which Azure service provides a fully managed platform for building machine learning models and operationalizing AI workflows?

A) Azure Machine Learning
B) Azure Databricks
C) Azure Cognitive Services
D) Azure Synapse Analytics

Answer:

A) Azure Machine Learning

Explanation:

Azure Machine Learning (Azure ML) is a fully managed platform that allows organizations to build, train, deploy, and monitor machine learning models at scale. It provides tools for automated machine learning (AutoML), custom model development, experiment tracking, and pipeline orchestration. Azure ML supports Python, R, and popular frameworks like TensorFlow, PyTorch, and scikit-learn.

Option B, Azure Databricks, provides big data analytics and collaborative data science but is primarily an analytics platform rather than a full machine learning operations platform. Option C, Azure Cognitive Services, offers prebuilt AI capabilities such as vision, speech, and language processing but does not allow custom model development and training. Option D, Azure Synapse Analytics, is used for data warehousing and analytics rather than building machine learning models.

Azure Machine Learning integrates with Azure Data Factory, Azure Storage, and other data services to streamline data preparation, training, and deployment workflows. Models can be deployed as web services, integrated into applications, or monitored for performance and drift. Features include model versioning, automated retraining, security, and compliance capabilities. Organizations use Azure ML to implement predictive maintenance, fraud detection, recommendation systems, customer analytics, and other AI-driven solutions. By leveraging Azure Machine Learning, businesses can operationalize AI, accelerate insights, and implement scalable, secure, and maintainable machine learning pipelines.

Question 40:

Which Azure service provides a fully managed load balancing solution for distributing network traffic across virtual machines?

A) Azure Load Balancer
B) Azure Application Gateway
C) Azure Traffic Manager
D) Azure Front Door

Answer:

A) Azure Load Balancer

Explanation:

Azure Load Balancer is a fully managed Layer 4 load balancing service that distributes inbound network traffic across multiple virtual machines (VMs) within a region to ensure high availability and reliability. It supports both TCP and UDP protocols and provides low-latency, high-throughput performance for internal and external applications.

Option B, Azure Application Gateway, is a Layer 7 web application load balancer that provides URL-based routing, SSL termination, and WAF capabilities, suitable for web applications. Option C, Azure Traffic Manager, is a DNS-based global traffic routing solution that directs user requests to different regions for performance and availability optimization. Option D, Azure Front Door, is a global application delivery platform that combines intelligent routing, caching, and WAF for high-availability web applications.

Azure Load Balancer provides health probes to monitor VM status, automatic failover for unhealthy instances, and support for inbound and outbound NAT rules. Organizations use it to improve application reliability, scale applications dynamically, and optimize resource utilization. It is commonly used for front-end services, microservices architectures, gaming backends, and high-traffic applications requiring low-latency network traffic distribution. By using Azure Load Balancer, businesses can ensure consistent application availability, improve performance, and reduce the risk of downtime.