Azure Machine Learning's _______ service enables efficient hyperparameter tuning for machine learning models.
- AutoML
- HyperTune
- ModelOps
- NeuralNet
Azure Machine Learning's AutoML service is designed for efficient hyperparameter tuning, automating the process and optimizing machine learning models.
Discuss the importance of Azure Information Protection for data classification and protection.
- Automatic encryption
- Data classification and labeling
- Load balancing
- Server virtualization
Azure Information Protection is crucial for data classification and protection through the implementation of data classification and labeling, ensuring sensitive information is appropriately encrypted and secured.
In designing a cloud solution for a financial institution, you need to ensure a robust defense against web attacks and a secure data encryption method. Which Azure services would you recommend?
- Azure Disk Encryption
- Azure Key Vault
- Azure Security Center
- Azure Web Application Firewall (WAF)
Azure Web Application Firewall (WAF) helps defend against web attacks, and Azure Key Vault ensures secure data encryption by managing and safeguarding cryptographic keys. Azure Security Center provides a holistic security management solution.
In Azure App Service, the _______ feature enables automatic scaling of web apps based on demand.
- AutoScale
- Load Balancer
- Resource Group
- Traffic Manager
In Azure App Service, the AutoScale feature facilitates automatic scaling of web apps based on demand, ensuring optimal performance and resource utilization.
In CI/CD pipelines, the practice of _______ is crucial for ensuring code quality and reliability in Azure DevOps.
- Continuous Deployment
- Continuous Integration
- Infrastructure as Code
- Test Automation
Continuous Integration is crucial in CI/CD pipelines to ensure that code changes are regularly integrated, validated, and maintain code quality and reliability.
_______ technology in Azure HPC is critical for handling parallel processing tasks efficiently.
- Fiber Channel
- InfiniBand
- NVMe (Non-Volatile Memory Express)
- RDMA (Remote Direct Memory Access)
RDMA (Remote Direct Memory Access) technology is crucial in Azure High-Performance Computing (HPC) for efficient handling of parallel processing tasks.
A healthcare company wants to use Azure Machine Learning to predict patient readmission risks. What features of Azure Machine Learning would be most beneficial for this task?
- Automated Machine Learning
- Azure Machine Learning Compute
- Azure Machine Learning Pipelines
- Azure Machine Learning Studio
Automated Machine Learning in Azure facilitates the automatic selection of models and hyperparameters, streamlining the process of predicting patient readmission risks.
A company needs a cost-effective Azure storage solution for their cold data that is rarely accessed but must be preserved for a long period. Which Azure storage service should they choose?
- Azure Blob Storage
- Azure File Storage
- Azure Queue Storage
- Azure Table Storage
Azure Blob Storage is the optimal choice for cold data due to its cost-effectiveness and ability to store large amounts of unstructured data for long durations.
What is the primary use of Azure PowerShell in managing Azure resources?
- Resource Billing
- Resource Deletion
- Resource Monitoring
- Resource Provisioning
Azure PowerShell is primarily used for resource provisioning, allowing users to create, modify, and manage Azure resources through PowerShell scripts.
In Enterprise-Scale Architecture, how does Azure's Content Delivery Network (CDN) enhance user experience and performance?
- Container orchestration
- Dynamic content caching
- Global distribution of static assets
- Multi-region failover
Azure CDN enhances user experience by globally distributing static assets, reducing latency, and optimizing content delivery for improved performance.