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.

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.

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.

The principle that suggests that any code commit that passes all stages of the CI/CD process is ready for deployment to production is known as ________.

  • Continuous Approval (CA)
  • Continuous Deployment (CD)
  • Continuous Integration (CI)
  • Continuous Verification (CV)
Continuous Deployment (CD) is the principle where any code that passes all stages in the CI/CD pipeline is automatically deployed to production, promoting a fast and reliable release process.

In the context of Google Cloud Functions, what is the significance of "idempotent retries"?

  • Ensuring reliability
  • Handling cold starts
  • Implementing triggers
  • Reducing billing costs
"Idempotent retries" ensure that even if a request is retried, the system remains in a consistent state, essential for maintaining data integrity and reliability.

Community clouds are primarily designed to address the needs of:

  • A specific industry or community
  • Government agencies
  • Individual consumers
  • Large multinational corporations
Community clouds are designed to serve a specific community or industry, enabling them to share resources and comply with specific regulations and standards.

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.

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.

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.

________ 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.