In which programming languages can you write Cloud Functions for Google Cloud Platform?
- HTML, CSS
- Java, C++, Ruby
- JavaScript, Python
- Swift, PHP
You can write Google Cloud Functions in languages like JavaScript and Python. These languages are supported for serverless event-driven functions.
Cloud-based data lakes primarily store data in its raw form, often referred to as ________.
- Big Data
- Raw Data
- Structured Data
- Unstructured Data
Cloud-based data lakes store data in its raw, unaltered form, often referred to as 'Raw Data.' This allows for flexible processing and analysis.
To mitigate the risk of insider threats, it's essential to regularly review and update ________.
- Employee Contracts
- Employee Salaries
- Hardware Inventory
- Security Policies
Reviewing and updating 'Security Policies' is essential to mitigate insider threats, as clear policies can help in prevention, detection, and response to potential risks.
In cloud monitoring, ________ is the process of validating and ensuring that resources in the cloud are functioning as expected and efficiently.
- Cloud Optimization
- Performance Assessment
- Resource Monitoring
- Validation
Cloud Optimization is the process of continuously improving resource utilization and performance in the cloud. It involves monitoring, analysis, and adjustments to ensure optimal resource efficiency.
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.