A large enterprise is planning to move several of its applications to the cloud. They want to ensure that they optimize costs from day one. Which approach should they prioritize?
- Cloud Cost Optimization
- Data Encryption
- Network Bandwidth Expansion
- Software License Agreements Optimization
Prioritizing Cloud Cost Optimization involves carefully planning and managing cloud resources to minimize expenses. It includes right-sizing instances, leveraging reserved instances, and monitoring usage to ensure that costs are optimized from the start of their cloud journey.
When an organization decides to modify or completely change the application's architecture during its migration to the cloud, which strategy is it employing?
- Refactoring (Re-architect)
- Rehosting (Lift and Shift)
- Reimagining (Full Rebuild)
- Replatforming (Lift, Tinker, and Shift)
Refactoring, or Re-architecting, involves modifying or completely redesigning the application's architecture to better leverage the cloud's advantages. It's a strategy for optimizing and improving the application during migration.
A company is looking to deploy a high-performance virtualized environment directly on server hardware without any underlying operating system. Which type of hypervisor would be most suitable?
- Container-based Hypervisor
- Paravirtualization Hypervisor
- Type 1 Hypervisor
- Type 2 Hypervisor
In this scenario, a Type 1 Hypervisor, also known as a bare-metal hypervisor, is most suitable. It runs directly on the server hardware without an underlying OS, offering high performance and minimal overhead.
The integration of IoT and cloud computing enables what kind of analysis on a vast scale?
- Descriptive analysis
- Diagnostic analysis
- Predictive analysis
- Real-time analysis
The integration of IoT and cloud computing enables predictive analysis on a vast scale. IoT devices generate large amounts of data that can be analyzed for future trends and insights.
The process where an ML model is initially trained on a large dataset and then fine-tuned for a specific task using a smaller dataset is called ________.
- Deep Learning
- Reinforcement Learning
- Supervised Learning
- Transfer Learning
Transfer learning involves taking an ML model pretrained on a large dataset and fine-tuning it for a specific task with a smaller dataset. It's a common technique in machine learning.
Azure Functions uses a file named ________ to define the function bindings and triggers.
- azure.json
- function.json
- host.json
- settings.json
Azure Functions utilize a file named "function.json" to specify the function bindings and triggers, allowing developers to configure how the function operates.
The process of automatically deploying application changes to a production environment, ensuring zero downtime, is referred to as ________.
- Blue-Green Deployment
- Canary Deployment
- Continuous Delivery
- Continuous Integration
Blue-Green Deployment is a deployment strategy that involves having two identical production environments (blue and green) and switching between them to deploy application changes with zero downtime.
Which type of cloud deployment model combines both private and public cloud structures?
- Community Cloud
- Hybrid Cloud
- Private Cloud
- Public Cloud
A Hybrid Cloud combines both private and public cloud structures, allowing organizations to have flexibility in deploying resources based on their needs.
Which migration strategy is often the quickest and least expensive initially but might not fully leverage the benefits of the cloud?
- Refactoring (Re-architect)
- Rehosting (Lift and Shift)
- Reimagining (Full Rebuild)
- Replatforming (Lift, Tinker, and Shift)
Rehosting (Lift and Shift) is typically the quickest and least expensive migration strategy initially, but it may not fully exploit the cloud's potential because it doesn't make significant changes to the application's architecture.
Using multi-factor authentication can greatly reduce the risk of ________ in cloud environments.
- Account Hijacking
- Data Loss
- Network Intrusion
- Unauthorized Access
Using multi-factor authentication can greatly reduce the risk of "Account Hijacking" in cloud environments by requiring multiple verification methods, making it more challenging for attackers to gain access.