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.
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.
How does Docker handle dependencies for an application?
- By fetching dependencies from the internet
- By packaging dependencies within the application's container
- By using a separate dependency container
- By using host system dependencies
Docker typically handles application dependencies by packaging them within the container image. This approach ensures that the application runs consistently, regardless of the host system, and isolates dependencies from the host and other containers.
An individual within the organization who poses a potential security risk, whether intentional or unintentional, is referred to as a(n) ________.
- External Consultant
- Insider Threat
- Security Administrator
- Whistleblower
An 'Insider Threat' is someone within the organization who may compromise security, either deliberately or accidentally, making them a significant risk.
Which regulation is primarily concerned with the protection of personal data of individuals within the European Union?
- FERPA (Family Educational Rights and Privacy Act)
- GDPR (General Data Protection Regulation)
- HIPAA (Health Insurance Portability and Accountability Act)
- SOX (Sarbanes-Oxley Act)
The GDPR is a comprehensive regulation that governs data privacy and protection in the European Union. It focuses on the rights of individuals regarding their personal data.
What is the primary purpose of cloud monitoring tools?
- Data Storage
- Monitoring and Reporting
- Server Deployment
- Virtualization
Cloud monitoring tools primarily serve the purpose of monitoring and reporting the performance, availability, and usage of cloud resources.
How does data interoperability in a hybrid cloud model differ from other cloud deployment models?
- Data Isolation
- Limited Data Portability
- No Data Interoperability
- Seamless Data Exchange Across Environments
In a hybrid cloud, data interoperability enables seamless exchange of data across public and private cloud environments, differing from other models with limited data portability.