In Azure Synapse Analytics, _______ analytics provides insights from both relational and non-relational data.
- Advanced
- On-demand
- Predictive
- Real-time
In Azure Synapse Analytics, On-demand analytics allows users to derive insights from both relational and non-relational data as needed, without the need for pre-processing or caching.
What is the purpose of Conditional Access policies in Azure Active Directory?
- Control access based on conditions
- Encrypt data in transit
- Implement load balancing
- Manage DNS configurations
Conditional Access policies in Azure AD are designed to control access based on conditions, allowing organizations to enforce security measures and policies based on specific criteria.
In Azure Cosmos DB, which API option is typically used for document-based storage?
- Cassandra API
- MongoDB API
- SQL API
- Table API
For document-based storage in Azure Cosmos DB, the MongoDB API is commonly used, providing a flexible and schema-agnostic approach.
Discuss the role of Azure's Backup Reports in managing and monitoring backup strategies.
- Automatically triggers backup restoration
- Monitors resource utilization during backup
- Offers real-time backup status updates
- Provides insights into backup success/failure
Azure's Backup Reports play a crucial role in managing and monitoring backup strategies by providing detailed insights into the success or failure of backup operations, helping organizations optimize their backup processes.
AKS supports _______ integration for continuous deployment of applications.
- Azure DevOps
- GitLab
- Jenkins
- Travis CI
Azure Kubernetes Service (AKS) supports Azure DevOps integration, providing a streamlined approach for continuous deployment of applications on Kubernetes clusters.
In containerization, the process of isolating applications in separate environments is known as _______.
- Application Isolation
- Container Segregation
- Containerization
- Microservices
The process of isolating applications in separate environments in containerization is known as Application Isolation.
How does Azure Backup's retention policy contribute to a data protection strategy?
- Automated data deletion
- Data versioning
- Incremental backups
- Long-term storage
Azure Backup's retention policy enables long-term storage by defining how long backup data should be retained, contributing to a comprehensive data protection strategy.
In Azure Support, what is the main benefit of the Premier support plan compared to other plans?
- 24/7 critical issue response
- Access to Azure Marketplace
- Basic technical support
- Free Azure credits
The main benefit of the Premier support plan is 24/7 critical issue response, providing organizations with immediate assistance for critical incidents.
How does Azure Policy contribute to maintaining compliance in Azure environments?
- Automates software deployment
- Enforces rules and standards
- Manages virtual machine scaling
- Monitors resource cost
Azure Policy enforces rules and standards, ensuring that resources deployed in Azure adhere to organizational compliance requirements. It helps maintain a compliant environment.
In Azure Cosmos DB, what is the significance of the consistency level chosen for a database?
- Affects trade-off between consistency and availability
- Defines data retrieval speed
- Determines data durability
- Specifies data replication factor
The consistency level in Azure Cosmos DB impacts the trade-off between data consistency and availability, allowing users to choose the desired balance based on application requirements.
In the context of Identity and Access Management (IAM), what is the purpose of Multi-Factor Authentication (MFA)?
- Cost optimization
- Data encryption
- Enhanced security
- Resource grouping
Multi-Factor Authentication (MFA) enhances security by requiring users to provide multiple forms of verification before granting access, adding an extra layer of protection to identity and access management.
What are the benefits of using Azure Data Factory's Data Flow Debugging feature for complex ETL processes?
- Data lineage tracking
- Error identification
- Real-time monitoring
- Resource optimization
The Data Flow Debugging feature in Azure Data Factory aids in identifying errors, facilitating real-time monitoring, ensuring data lineage tracking, and optimizing resources for complex ETL processes.