Describe the role of Azure Machine Learning pipelines in managing the lifecycle of a machine learning project.
- Code versioning
- Data preparation
- End-to-end orchestration
- Model deployment
Azure Machine Learning pipelines facilitate end-to-end orchestration of a machine learning project, including data preparation, training, and deployment.
What is the role of Azure Blueprints in the governance of Azure resources?
- Application development
- Backup and recovery
- Resource scaling
- Standardized resource deployment
Azure Blueprints play a crucial role in governance by providing a way to orchestrate and deploy standardized sets of resources, ensuring compliance and best practices.
What is the role of automated testing in Azure CI/CD pipelines?
- Deploy applications
- Ensure code quality
- Generate documentation
- Monitor production
Automated testing in CI/CD pipelines ensures code quality by executing tests automatically, identifying issues early in the development process.
In Azure Data Factory, what is the purpose of integration runtime?
- Data governance implementation
- Data movement across on-premises and cloud
- Data security enforcement
- Data transformation within the cloud
Integration runtime in Azure Data Factory is responsible for facilitating data movement across on-premises and cloud environments, ensuring seamless data flow and accessibility.
Explain how Azure's geo-redundant storage (GRS) enhances data recovery capabilities.
- Enables automatic data archiving
- Implements data encryption at rest
- Offers multi-region redundancy
- Provides real-time data synchronization
Azure's GRS enhances data recovery by providing multi-region redundancy. This means data is replicated across multiple geographic regions, ensuring high availability and improved disaster recovery capabilities.
In data encryption, _______ is a method used in Azure to ensure data confidentiality and integrity.
- Always Encrypted
- Azure Confidential Computing
- Azure Key Vault
- Transparent Data Encryption (TDE)
Azure Confidential Computing is a method used in Azure for data encryption, ensuring both data confidentiality and integrity through secure enclaves.
Describe the advantages of Azure's HPC Cache in dealing with large datasets.
- Cost-effective storage
- Enhanced data consistency
- Improved data access
- Lower latency
Azure's HPC Cache offers advantages like lower latency, improving data access in scenarios dealing with large datasets, and ensuring efficient data consistency.
Implementing _______ on Azure Storage accounts helps to secure data at rest.
- Authentication
- Authorization
- Compression
- Encryption
Implementing Encryption on Azure Storage accounts ensures that data is secured at rest, protecting it from unauthorized access.
_______ is a key factor when designing network security architecture using NSGs and ASGs in Azure.
- Latency
- Redundancy
- Segmentation
- Throughput
Segmentation is crucial when designing network security architecture using Network Security Groups (NSGs) and Application Security Groups (ASGs) in Azure, ensuring a secure and controlled environment.
The _______ feature in AKS helps in load balancing traffic among pods.
- Azure Load Balancer
- Ingress Controller
- Network Security Group
- Virtual Network Peering
The Ingress Controller feature in AKS facilitates load balancing of traffic among pods, providing efficient routing and distribution.