For complex cloud architectures, which feature of cloud monitoring tools is crucial for understanding the interplay between different services?
- Auto Scaling
- Dependency Mapping
- Log Collection
- Performance Metrics
Dependency mapping is crucial for understanding how different services in a complex architecture rely on each other, helping diagnose issues and optimize.
What is the significance of "zero trust" in the context of preventing insider threats?
- Trust is granted by default
- Trust is granted widely
- Trust is never assumed
- Trust is revoked easily
In a "Zero Trust" security model, trust is never assumed, and verification is required from anyone trying to access resources. This approach minimizes insider threats by not assuming trust based on roles or location.
In the context of cloud computing, what does the "elasticity" characteristic ensure?
- Data Encryption
- Dynamic Scalability
- Redundancy Management
- Resource Efficiency
Elasticity in cloud computing refers to the ability to dynamically and automatically scale resources up or down in response to changing workloads. It ensures efficient resource allocation, cost savings, and performance optimization.
Which cloud migration strategy involves moving an application from an on-premises environment to the cloud without making changes to its architecture?
- Refactoring (Re-architect)
- Rehosting (Lift and Shift)
- Reimagining (Full Rebuild)
- Replatforming (Lift, Tinker, and Shift)
Rehosting, also known as Lift and Shift, is a migration strategy where you move the application to the cloud as-is, without making significant architectural changes. It's a quick way to get to the cloud, but it might not fully optimize the cloud's capabilities.
A healthcare provider needs to move data to the cloud due to an expiring data center lease. They plan to optimize and leverage cloud-native services in the future. Which initial migration strategy might they employ?
- Augmenting with Cloud Services (Hybrid Cloud)
- Lift, Tinker, and Shift
- Refactoring (re-architecting)
- Rehosting (lift-and-shift)
Augmenting with cloud services, often a hybrid cloud approach, would allow the healthcare provider to quickly move data to the cloud while preparing for future optimization and integration with cloud-native services.
During the ________ process, an application might be decomposed and reassembled using cloud-native features for better performance and scalability.
- Rebuilding
- Refactoring
- Rehosting
- Replatforming
The blank should be filled with "Refactoring." Refactoring involves restructuring or optimizing an application for cloud-native features, leading to improved performance and scalability.
An e-commerce company has recently faced a breach where an employee was able to access customer payment details. They want to implement a system where each employee only has access to the information necessary for their specific job. What would be the best approach for this company?
- Biometric Authentication
- Firewall
- Intrusion Prevention System
- Principle of Least Privilege
Implementing the Principle of Least Privilege ensures that each employee has access only to the information necessary for their specific job, reducing the risk of breaches.
Which standard or regulation would a healthcare provider in the United States need to adhere to when storing patient data in the cloud?
- FERPA (Family Educational Rights and Privacy Act)
- GDPR (General Data Protection Regulation)
- HIPAA (Health Insurance Portability and Accountability Act)
- PCI DSS (Payment Card Industry Data Security Standard)
Healthcare providers in the United States must adhere to HIPAA when storing patient data in the cloud. HIPAA ensures the privacy and security of patients' health information. The other regulations are not specific to healthcare.
An agricultural company wants to deploy drones to monitor the health of crops using AI. They need a solution that can process vast amounts of data from various drones simultaneously. Which cloud-based AI service might be suitable?
- Amazon SageMaker
- Azure Machine Learning Service
- Google Cloud AutoML
- IBM Watson
Amazon SageMaker is a comprehensive AI service on AWS that can handle large-scale AI model training and inference. It's suitable for processing data from multiple drones for crop monitoring.
A financial institution wants to set up a cloud infrastructure where they have complete control over their sensitive data and can ensure it doesn't leave their premises. Which cloud deployment model would be most suitable?
- Community Cloud
- Hybrid Cloud
- Private Cloud
- Public Cloud
A private cloud is the ideal choice for a financial institution to maintain control over sensitive data. It's hosted within the organization's premises or by a third-party provider, ensuring data stays on-site.