AWS Lambda and Azure Functions are primarily used for which type of computing?
- Cloud Computing (Option 3)
- Distributed Computing (Option 4)
- Edge Computing (Option 2)
- Serverless Computing (Option 1)
AWS Lambda and Azure Functions are both primarily used for Serverless Computing, where you can run code without managing servers, scaling automatically, and paying only for what you use.
One of the primary reasons to implement CI/CD in cloud environments is to:
- Accelerate Software Delivery
- Ensure Legacy System Compatibility
- Implement Strong Security Practices
- Reduce Cloud Costs
Implementing CI/CD in cloud environments accelerates software delivery by automating and streamlining the release process, enabling faster feature delivery and bug fixes.
An e-commerce company has recently faced a breach where an employee was able to access customer payment details. They want to implement a system where each employee only has access to the information necessary for their specific job. What would be the best approach for this company?
- Biometric Authentication
- Firewall
- Intrusion Prevention System
- Principle of Least Privilege
Implementing the Principle of Least Privilege ensures that each employee has access only to the information necessary for their specific job, reducing the risk of breaches.
A company is looking to migrate their on-premises SQL Server databases to the cloud. They are already using Microsoft products extensively. Which CSP and specific service would be a natural fit for them?
- Amazon Web Services (AWS) - RDS
- Google Cloud Platform (GCP) - BigQuery
- IBM Cloud - Db2 Warehouse on Cloud
- Microsoft Azure - Azure SQL Database
Microsoft Azure offers Azure SQL Database, a managed SQL database service that seamlessly integrates with Microsoft products, making it a natural fit.
What ensures that a cloud service remains operational even if one or more servers fail?
- Elasticity
- Fault Tolerance
- Load Balancing
- Scalability
'Fault Tolerance' ensures that a cloud service remains operational despite server failures. This typically involves redundant systems or failover mechanisms to maintain service availability.
A company wants to process images uploaded by users to a Google Cloud Storage bucket. The processing should happen immediately after the upload without any manual intervention. Which Google Cloud service would be most appropriate for this?
- Google Cloud App Engine
- Google Cloud Functions
- Google Cloud Storage Triggers (Notifications)
- Google Kubernetes Engine (GKE)
Google Cloud Storage Triggers (Notifications) can automatically trigger a function when objects are uploaded to a bucket, enabling immediate processing.
AWS's primary service for object storage is:
- Amazon DynamoDB (NoSQL Database)
- Amazon EC2 (Elastic Compute Cloud)
- Amazon RDS (Relational Database Service)
- Amazon S3 (Simple Storage Service)
Amazon S3 (Simple Storage Service) is AWS's primary service for object storage. It provides scalable, durable, and highly available object storage in the cloud, commonly used for data and file storage.
Paravirtualization differs from full virtualization in that:
- It doesn't isolate workloads.
- It doesn't require a hypervisor.
- It doesn't support live migration.
- It requires modification of the guest OS.
Paravirtualization requires modifying the guest OS to improve performance, whereas full virtualization does not require such modifications.
In the context of cloud deployment models, which type of cloud typically has a higher upfront cost due to infrastructure investments?
- Community Cloud
- Hybrid Cloud
- Private Cloud
- Public Cloud
Private Clouds are typically associated with higher upfront costs because organizations need to invest in their infrastructure and management. Public clouds share resources and costs with multiple organizations.
What distinguishes a hybrid cloud from a multi-cloud?
- Hybrid uses physical servers
- Mixing public and private clouds
- Multi-cloud combines different cloud service providers
- The use of multiple private clouds in a hybrid setup
A hybrid cloud combines public and private cloud infrastructure, whereas a multi-cloud involves using services from different cloud providers, which may not be public-private mix.