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.
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.
A company has just deployed a new cloud-based application. The users interact with the application through a web browser, but they report that sometimes the application is slow. While the front end appears fine, where would you start investigating for potential issues?
- Backend server performance tuning
- Browser cache analysis
- Database optimization
- Network latency check
In this scenario, the slowdown issue is likely in the backend. Starting with backend server performance tuning is a key step to address the problem.
In a cloud scenario, if an attacker gains control over a user's access credentials, it can lead to ________.
- Account Lockout
- Data Loss
- Resource Optimization
- Unauthorized Access
In a cloud scenario, if an attacker gains control over a user's access credentials, it can lead to "Unauthorized Access." This access can be used to compromise data, resources, or even perform malicious actions within the cloud environment.
Which of the following can be a preventive measure against data breaches caused by insider threats?
- Ignoring insider threats
- Increasing firewall strength
- Reducing the number of external threats
- Regular security training for employees
Preventive measures against insider threats include regular security training for employees to make them aware of security best practices and the risks associated with insider threats. Education can help reduce the likelihood of insider incidents.