Google Cloud Functions is a ________ computing platform.
- Containerized
- Microservices
- Serverless
- Virtualized
Google Cloud Functions is a serverless computing platform, meaning it allows you to run code without managing the underlying infrastructure.
Cloud platforms that specifically cater to the needs of IoT devices by offering tools and services for connecting, analyzing, and managing those devices are known as:
- IaaS (Infrastructure as a Service)
- IoTaaS (IoT as a Service)
- PaaS (Platform as a Service)
- SaaS (Software as a Service)
IoTaaS (IoT as a Service) platforms are designed to support IoT device connectivity, data analysis, and management, making them a specialized choice for IoT applications.
A startup wants to build a serverless application architecture and is comparing the offerings of major CSPs. They want a solution that integrates well with other services from the same provider. Which CSP's serverless platform might be suitable?
- Amazon Web Services (AWS) - AWS Lambda
- Google Cloud Platform (GCP) - Cloud Functions
- IBM Cloud - OpenWhisk
- Microsoft Azure - Azure Functions
AWS Lambda is known for its seamless integration with other AWS services, making it an excellent choice for a serverless architecture that leverages the AWS ecosystem.
The cloud computing model in which the infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers is called ________.
- Community Cloud
- Hybrid Cloud
- Private Cloud
- Public Cloud
A Private Cloud is established exclusively for a single organization, offering dedicated infrastructure to ensure security and control over cloud resources.
Which part of a cloud computing system is directly accessed and interacted with by the user?
- Cloud Service
- Data Center
- User Interface
- Virtual Machine
The "User Interface" is the component of a cloud computing system that users directly access to interact with the cloud services, applications, and data.
One of the primary reasons for unexpected cloud costs is ________.
- Cloud Security
- Cost Allocation
- Data Backup Policies
- Overprovisioning
Overprovisioning, or allocating more resources than necessary, can lead to unexpected cloud costs. It's essential to right-size resources to avoid unnecessary expenses while ensuring adequate performance.
Which of the following best describes the architecture of modern cloud-based analytics tools?
- Legacy, Proprietary, and Limited Data Sources
- Monolithic, On-Premises, and Batch Data Processing
- Serverless, Scalable, and Distributed Data Processing
- Single-Tenant, Centralized, and Traditional Data Warehousing
Modern cloud-based analytics tools typically feature a serverless, scalable, and distributed architecture to handle diverse data processing workloads efficiently.
One of the main benefits of using cloud services for AI and ML is the availability of large-scale ________ for training complex models.
- Data storage and processing
- E-commerce websites
- IoT devices
- Social media platforms
Cloud providers offer extensive data storage and processing capabilities, enabling users to access large datasets for training complex AI and ML models. This resource scalability is a significant benefit.
If you want to execute a piece of code in response to changes in Google Cloud Storage, you'd typically use ________.
- Google Cloud Dataflow
- Google Cloud Functions
- Google Cloud Pub/Sub
- Google Cloud Tasks
Google Cloud Pub/Sub is often used to trigger code execution in response to changes in Google Cloud Storage, making it a suitable choice.
The concept of accessing computing resources over the internet is closely related to:
- Social networking sites
- Internet of Things (IoT)
- E-commerce
- Cloud Services
Accessing computing resources over the internet is the foundation of cloud services. While the other options do use the internet, they don't represent the idea of harnessing computing power and resources directly over the internet in the same way cloud services do.