In the context of microservices, what is the main advantage of using Azure Kubernetes Service (AKS)?
- AI and Machine Learning Integration
- Data Storage Efficiency
- Scalability and Orchestration
- Serverless Architecture
Azure Kubernetes Service (AKS) excels in scalability and orchestration, providing efficient management of microservices, enabling easy scaling and deployment.
What is the role of DTUs (Database Transaction Units) in Azure SQL Database performance scaling?
- CPU allocation
- Memory allocation
- Overall performance measurement
- Storage capacity allocation
DTUs in Azure SQL Database represent a bundled measure of CPU, memory, and I/O resources, providing a simplified way to gauge and scale the overall performance of the database.
What are the benefits of using Infrastructure as Code (IaC) tools like Azure Resource Manager or Terraform in Azure?
- Automation
- Manual configuration
- Resource tracking
- Version control
IaC tools such as Azure Resource Manager and Terraform provide benefits like version control, automation of resource deployment, and efficient tracking of infrastructure changes, reducing manual configuration errors.
In Azure Log Analytics, _______ queries can be used to perform complex data analysis and extraction.
- AzureSQL
- Kusto
- LogQuery
- QueryDSL
In Azure Log Analytics, "Kusto" queries (KQL - Kusto Query Language) can be used to perform complex data analysis and extraction for insights.
What is the primary purpose of Azure Blueprints in the context of Azure Compliance Frameworks?
- Backup and restore data
- Define and enforce standards
- Monitor resource utilization
- Optimize network performance
Azure Blueprints is designed to define and enforce standards, providing a consistent and compliant foundation for resources in Azure.
The Azure _______ service is used to encrypt data at rest automatically.
- Azure AD Identity Protection
- Azure Disk Encryption
- Azure Key Vault
- Azure Security Center
Azure Disk Encryption automatically encrypts data at rest on Azure virtual machines, enhancing the overall security posture.
In the context of Machine Learning at Scale, how does Azure Synapse Analytics enhance data processing?
- Data Visualization
- Distributed Data Processing
- Predictive Maintenance
- Real-time Model Training
Azure Synapse Analytics supports distributed data processing, allowing efficient handling of large datasets for machine learning at scale.
You are tasked with setting up a system for real-time performance monitoring and alerting for a set of Azure-based applications. What combination of Azure services would you use?
- Azure Log Analytics and Azure Automation
- Azure Monitor and Azure Application Insights
- Azure Security Center and Azure Sentinel
- Azure Virtual Network and Azure Traffic Manager
Azure Monitor, combined with Azure Application Insights, offers a powerful solution for real-time performance monitoring, logging, and alerting for Azure applications.
Middleware is best described as:
- A component that
- A layer of software
- A program that connects
- Software that sits
Middleware is a layer of software that acts as a bridge between different software applications, helping them communicate and function together.
A telecommunications company wants to improve its customer service by having a unified system to track customer complaints, feedback, and interactions. Which type of system would best suit their needs?
- Customer Feedback Management System (CFMS)
- Customer Relationship Management (CRM)
- Enterprise Resource Planning (ERP)
- Supply Chain Management (SCM)
Customer Relationship Management (CRM) is designed to manage customer interactions, complaints, and feedback, making it ideal for improving customer service.