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.
If an organization is looking to capitalize on the cloud-native features, such as serverless computing or managed database services, which migration strategy would be most appropriate?
- Rearchitect (rebuild)
- Refactor (re-architect)
- Rehost (lift and shift)
- Repurchase (buy a new one)
Rearchitecting (rebuilding) an application allows the organization to optimize it for cloud-native features, making it the most suitable strategy to capitalize on such features.
Which of the following is a key benefit of using Google Cloud Functions?
- Complex Infrastructure Setup
- High Initial Cost
- Large Virtual Machines
- Serverless Computing
Google Cloud Functions provide serverless computing, which means developers can focus on code without worrying about infrastructure. This results in cost savings and scalability.
In terms of Machine Learning services in the cloud, what is the primary advantage of using "transfer learning"?
- Enhanced data storage
- Improved model accuracy
- Reduced training time
- Simplified deployment
The primary advantage of using transfer learning in cloud-based ML is improved model accuracy. It allows leveraging pre-trained models, making it easier to achieve high accuracy with limited data.
Which type of cloud is typically used by a single organization and is not shared with others?
- Private Cloud
- Public Cloud
- Hybrid Cloud
- Community Cloud
A "Private Cloud" is typically used by a single organization and is not shared with others. It offers more control and customization options but may require more resources for setup and maintenance.
Which of the following best describes Type-1 (bare-metal) hypervisors?
- They are primarily used for development and testing environments.
- They rely on Type-2 hypervisors for operation.
- They require a full-fledged operating system to function properly.
- They run directly on the physical hardware, without the need for an underlying operating system.
Type-1 (bare-metal) hypervisors operate directly on the hardware, eliminating the need for an underlying OS, which provides better performance and security for virtual machines.
Which aspect of SaaS can be a potential concern for businesses with stringent data residency requirements?
- Data Backup Strategy
- Data Encryption
- Data Location
- Data Security
For businesses with stringent data residency requirements, the location of data in a SaaS solution can be a significant concern. They need to ensure that their data remains within specified geographical boundaries or jurisdictions.
What role does an IAM system typically play in cloud computing?
- Data encryption and decryption
- Data storage management
- Identity and access management
- Resource allocation and scaling
IAM systems in cloud computing are responsible for Identity and Access Management, controlling who has access to what resources, enhancing security.
The equivalent of AWS's Elastic Compute Cloud (EC2) in Google Cloud is:
- Google App Engine
- Google Cloud Functions
- Google Compute Engine
- Google Kubernetes Engine
Google Compute Engine is Google Cloud's counterpart to AWS EC2, offering virtual machine instances for running applications and services.