In which migration strategy might an organization choose to break a monolithic application into microservices?
- Lift and Shift
- Rearchitect/Rebuild
- Refactor/Re-architect
- Rehost/Replatform
The "Refactor/Re-architect" strategy involves restructuring the existing application to make it more suitable for the cloud. Breaking a monolithic app into microservices falls under this category.
Which of the following best describes the purpose of Identity and Access Management?
- Controlling and securing access
- Ensuring data accuracy
- Optimizing data storage
- Protecting data from physical harm
The purpose of Identity and Access Management is to control and secure access to systems and data, ensuring only authorized users have access.
How does AWS Lambda handle concurrency and scaling when there are multiple invocations?
- Automatic Scaling
- Connection Pools and Queues
- Manual Scaling and Capacity Planning
- Throttling and Rate Limiting
AWS Lambda automatically handles concurrency and scaling. It dynamically allocates resources to accommodate multiple invocations, ensuring that the desired number of simultaneous executions are maintained.
When deploying AI services in the cloud, what is the significance of edge computing, especially concerning IoT devices?
- Enhanced cloud scalability
- Improved model complexity
- Increased cloud cost
- Reduced latency
Edge computing significantly reduces latency for AI services in IoT. Processing data closer to the source (IoT device) minimizes the time it takes for results, critical in real-time applications.
Which term describes the combination of the software and hardware that a user interacts with in a cloud service?
- Client Environment
- Cloud Interface
- Service Endpoint
- User Experience
The "Cloud Interface" encompasses the software and hardware components that a user interacts with when using a cloud service, including web applications and APIs.
Which of the following cloud services is primarily used to train machine learning models?
- IaaS (Infrastructure as a Service)
- MLaaS (Machine Learning as a Service)
- PaaS (Platform as a Service)
- SaaS (Software as a Service)
MLaaS (Machine Learning as a Service) offers pre-built tools and frameworks for training machine learning models, making it a specialized cloud service for this purpose.
For businesses that need to deploy their custom applications but want to avoid the complexities of infrastructure management, they should consider using ________.
- Hybrid Cloud Solutions
- Kubernetes
- Private Cloud Services
- Public Cloud Services
Public cloud services are ideal for businesses that want to deploy custom applications without managing infrastructure complexities. They offer scalability, reliability, and a variety of tools and services to support application development and deployment.
Which of the following benefits can be attributed to the microservices architecture?
- Decreased development speed, high coupling between services, and centralized control
- Enhanced monolithic architecture, simplified deployment, and limited fault tolerance
- Improved scalability, fault isolation, and easier maintenance
- Reduced code reusability, lack of service independence, and slower time-to-market
Microservices offer various benefits, including improved scalability, fault isolation, and easier maintenance. This architecture allows for independent service scaling, enhancing the application's overall performance and reliability.
________ is a popular tool used for managing and orchestrating containerized applications, making it essential in CI/CD pipelines that utilize containers.
- Docker Compose
- Jenkins
- Kubernetes
- Terraform
Kubernetes is a widely used container orchestration tool. It's crucial in CI/CD pipelines to deploy, manage, and scale containerized applications efficiently.
Docker ________ allows users to define and manage multi-container Docker applications.
- Compose
- Engine
- Hub
- Swarm
Docker Compose is the tool that allows users to define and manage multi-container Docker applications. It uses a YAML file to configure the services.
One of the primary benefits of using cloud-based analytics tools like AWS Redshift or Google BigQuery is the ability to scale ________.
- Elastically
- Horizontally
- Statically
- Vertically
Cloud-based analytics tools provide the ability to scale "elastically" by dynamically adjusting resources to meet demand, a key feature for handling varying workloads.
Azure's managed Kubernetes service is abbreviated as ________.
- A-Kube-Service
- AKS
- Azure Kube-Manager
- K8S
Azure's managed Kubernetes service is abbreviated as AKS, which stands for Azure Kubernetes Service. It simplifies deploying, managing, and scaling containerized applications using Kubernetes.