In Azure Blockchain, _______ services are used to manage the lifecycle of blockchain applications.
- Azure DevOps
- Azure Functions
- Azure Kubernetes Service
- Azure Logic Apps
In Azure Blockchain, Azure DevOps services play a crucial role in managing the lifecycle of blockchain applications, facilitating development, testing, and deployment.
Azure Service Fabric's _______ feature is crucial for ensuring high availability and disaster recovery of services.
- Auto Scaling
- Backup and Restore
- Data Replication
- Stateful Services
Data Replication is a crucial feature in Azure Service Fabric, ensuring high availability and disaster recovery by replicating data across multiple nodes.
Azure API Management supports the _______ protocol for secure, token-based access control to APIs.
- JWT
- OAuth
- OpenID Connect
- SAML
Azure API Management supports the JWT (JSON Web Token) protocol for implementing secure, token-based access control to APIs, enhancing security in API communication.
For critical applications requiring fast failover and recovery, Azure SQL Database offers the _______ feature.
- Auto-Tuning
- Geo-Replication
- In-Memory OLTP
- Query Store
Azure SQL Database offers Geo-Replication for fast failover and recovery of critical applications. This feature provides asynchronous replication to a secondary region.
How does Azure Functions' consumption plan optimize resource utilization and cost?
- Pay-per-execution
- Reserved Instances
- Serverless Architecture
- Virtual Machine Scaling
Azure Functions' consumption plan follows a serverless architecture, allowing pay-per-execution and optimizing resource utilization and cost by scaling dynamically based on demand.
Azure Information Protection (AIP) helps classify and _______ sensitive information.
- Encrypt
- Label
- Retrieve
- Share
Azure Information Protection (AIP) allows users to label sensitive information, helping in the classification and subsequent application of appropriate protection policies.
How does Azure Machine Learning support the creation and deployment of machine learning models?
- By manual coding without any tools
- Leveraging automated machine learning (AutoML)
- Through Azure Notebooks
- Using Azure DevOps only
Azure Machine Learning supports the creation and deployment of models through automated machine learning (AutoML), allowing users to build models efficiently with minimal manual coding.
What is the primary function of Azure Blockchain Service in cloud computing?
- Decentralized database
- Distributed application hosting
- Scalable virtual machines
- Secure and transparent transaction ledger
Azure Blockchain Service serves as a secure and transparent transaction ledger, ensuring the integrity and transparency of transactions across a distributed network.
In Azure IoT solutions, how does the IoT Edge service contribute to data processing?
- Batch processing
- Cloud-based data processing
- Localized data processing
- Real-time data streaming
IoT Edge service in Azure enables localized data processing at the edge, reducing latency and improving efficiency in scenarios where real-time processing is crucial.
Azure Monitor's _______ feature enables the collection of data from various sources like applications, OS, and Azure resources.
- Diagnostics
- Log Analytics
- Metrics
- Telemetry
Azure Monitor's "Metrics" feature collects data from applications, operating systems, and Azure resources for comprehensive monitoring.
How does Azure Sentinel aid in enterprise-level security management and threat detection?
- Centralized security information and event management (SIEM)
- Identity and Access Management (IAM)
- Machine Learning for anomaly detection
- Network firewall configuration
Azure Sentinel acts as a centralized SIEM tool, leveraging advanced analytics and machine learning for security management and threat detection across the enterprise.
Azure Edge Computing often incorporates _______ technology to enhance its computational capabilities at the edge.
- 5G
- Artificial Intelligence
- IoT (Internet of Things)
- Machine Learning
Azure Edge Computing often integrates Artificial Intelligence (AI) technology to enhance computational capabilities at the edge, allowing for intelligent processing of data.