What does IoT stand for in the context of cloud computing?

  • Internet of Technologies
  • Internet of Things (IoT)
  • Internet of Thinks
  • Internet of Transactions
IoT stands for "Internet of Things" in the context of cloud computing. IoT refers to the network of physical objects (devices, vehicles, appliances, etc.) that are embedded with sensors, software, and other technologies to connect and exchange data over the internet. This data is often sent to the cloud for storage and analysis.

A group of non-profit organizations focused on wildlife conservation wants to share resources and data in a cloud environment without making it accessible to external entities. What type of cloud model should they consider?

  • Private Cloud
  • Public Cloud
  • Hybrid Cloud
  • Community Cloud
To ensure data privacy for non-profit organizations sharing resources in a cloud environment, a "Private Cloud" is the best option. It offers exclusive control over data and resources, making it inaccessible to external entities.

What is the primary difference between a Docker image and a Docker container?

  • Containers are lightweight, images are heavy
  • Images are for building, containers are for running
  • Images run applications, containers store data
  • Images store runtime data, containers store source code
Docker images are read-only templates used to create containers. Containers are instances of images that run applications. Images are for building and containers are for running.

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.

Which service model is most appropriate for businesses that have significant existing investments in software licenses and want to maintain a higher degree of control over their application environment?

  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)
  • Function as a Service (FaaS)
In this case, Infrastructure as a Service (IaaS) is the best option, as it allows the business to leverage their existing software investments and maintain control over the underlying infrastructure.

Which migration strategy might lead to higher costs in the long run if the application isn't optimized post-migration to take advantage of cloud-native features?

  • Rearchitect (rebuild)
  • Refactor (re-architect)
  • Rehost (lift and shift)
  • Repurchase (buy a new one)
Rehosting (lift and shift) can lead to higher costs in the long run if the application isn't optimized post-migration. It essentially migrates the application as is without leveraging cloud-native benefits.

One of the primary techniques used by attackers to perform account hijacking is ________.

  • Data Backups
  • Data Encryption
  • Denial of Service Attack
  • Phishing
One of the primary techniques used by attackers to perform account hijacking is "Phishing," where they trick users into revealing their credentials. Phishing is a common method of social engineering attacks.

A smart city initiative wants to deploy thousands of sensors across the city to gather data on traffic, pollution, and energy consumption. They want real-time analysis and response. How can they leverage both IoT and cloud computing effectively?

  • Deploy the sensors in a mesh network
  • Store all data locally on the sensors
  • Use edge computing with IoT devices
  • Use only IoT devices
In this scenario, leveraging edge computing with IoT devices is essential for real-time analysis. Edge computing processes data locally, reducing latency, and then sends the necessary insights to the cloud. This allows for quick responses in a smart city context.

For persistent storage in Kubernetes, you would typically use a ________.

  • ConfigMap
  • Persistent Volume (PV)
  • Pod
  • Secret
Persistent Volumes (PV) are used for persistent storage in Kubernetes. They abstract the underlying storage and provide a way to manage storage resources.