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.
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.
Which of the following is NOT a typical feature of cloud monitoring tools?
- Auto-scaling and Load Balancing
- Billing and Cost Management
- Code Compilation and Execution
- Log Aggregation and Analysis
Cloud monitoring tools are primarily focused on tracking and analyzing system performance, resource utilization, and errors. Code compilation and execution are not typically associated with cloud monitoring but rather belong to the domain of development and build tools.
Edge computing in the context of IoT refers to processing data at the ________ rather than in a centralized cloud server.
- Cloud
- Edge
- Network
- Periphery
Edge computing means processing data closer to the data source (IoT devices) rather than in a distant centralized cloud server. This reduces latency and bandwidth usage.
Companies that are concerned about the security of their data in a SaaS model might explore ________ options to ensure data encryption.
- Backup
- Encryption
- Networking
- Virtualization
Data encryption is a common security measure in SaaS. Encrypting data ensures that even if unauthorized access occurs, the data remains protected.
Which of the following strategies is often used when an organization wants to migrate quickly to meet a business objective but plans on optimizing later?
- Lift and Shift
- Rearchitect/Rebuild
- Refactor/Re-architect
- Rehost/Replatform
The "Lift and Shift" strategy involves migrating an application to the cloud quickly with minimal changes. Organizations often use this when they need rapid migration with optimization as a later step.
How are you billed for Google Cloud Functions?
- Flat Monthly Fee
- Free tier available
- Pay-as-you-go
- Pay-per-Request
Google Cloud Functions are billed based on the number of requests and the time your code executes. It's a pay-per-request model, ensuring you only pay for what you use.
An organization's IT team detects unusual data transfer activities from a top executive's account during non-working hours. This could be indicative of:
- Data Theft
- Routine Maintenance
- System Upgrade
- Unauthorized Access
Unusual data transfer activities from a top executive's account during non-working hours can be indicative of data theft, which is a significant security concern.