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.
For Azure Functions, what is the primary purpose of Durable Functions?
- Auto-scaling and Load Balancing
- Containerization and Deployment
- Managing HTTP Requests
- Simplifying Asynchronous Workflows
Durable Functions in Azure primarily aim to simplify asynchronous workflows. They enable easy management of stateful, long-running, and parallelizable tasks within serverless functions.
A startup wants to launch a mobile app and expects a variable number of users. They don't want to invest in infrastructure but want to pay based on usage. Which cloud model should they consider?
- IaaS (Infrastructure as a Service)
- On-Premises
- PaaS (Platform as a Service)
- Serverless Computing
IaaS allows the startup to avoid upfront investments, provides scalable infrastructure, and enables them to pay as they go, making it ideal for variable user loads.
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.