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.
In the SaaS model, software applications are hosted on remote servers and delivered to users over the ________.
- Internet
- Intranet
- Local Network
- Mainframe
In the Software as a Service (SaaS) model, applications are hosted on remote servers and delivered to users over the Internet. Users access the software via web browsers.
What is the primary purpose of encryption in cloud computing?
- Data Analysis
- Data Backup
- Data Security
- Data Transfer
Encryption in cloud computing primarily serves the purpose of data security. It ensures that data stored in the cloud remains confidential and protected from unauthorized access.
Google Cloud Functions is primarily used for:
- Executing code in response to events
- Hosting websites
- Managing databases
- Running server applications
Google Cloud Functions is primarily used for executing code in response to events without requiring server management. It's ideal for 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.
A healthcare tech startup is working on a wearable device that can predict potential health anomalies in users. They want to use AI to analyze the data but are concerned about patient privacy. What could be a cloud-based solution for this?
- Federated Learning
- Limiting data collection
- Storing all data centrally
- Using a public AI service
Federated Learning is a privacy-preserving technique where AI models are trained across multiple decentralized devices (wearables, in this case) without moving raw data to a central location. It ensures patient privacy while using AI for analysis.