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 of the following best describes the relationship between IoT and the Cloud?
- IoT devices are entirely separate from the cloud
- IoT devices connect directly to the cloud
- IoT devices use the cloud for data storage and analysis
- IoT devices use the cloud for power supply
The relationship between IoT and the Cloud is that IoT devices use the cloud for data storage and analysis. IoT devices generate a vast amount of data, and the cloud provides the infrastructure for storing and processing this data efficiently.
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.
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 is a popular analytics tool offered by Amazon Web Services?
- Amazon Athena
- Amazon Elastic Compute Cloud (EC2)
- Amazon Relational Database Service (RDS)
- Amazon S3 (Simple Storage Service)
Amazon Athena is a serverless, interactive query service offered by AWS for querying data in Amazon S3 using SQL. It's a popular choice for ad-hoc data analysis and exploration.
Kubernetes is best described as:
- Cloud Hosting Service
- Container Orchestration System
- Database Management System
- Virtualization Platform
Kubernetes is best described as a container orchestration system. It automates the deployment, scaling, and management of containerized applications.
In the context of virtualization, what is "paravirtualization"?
- A method to create virtual machines
- A technique to emulate hardware devices
- A technology to enhance graphics performance
- A virtualization technique where the guest OS is modified to be aware of the virtualization layer
Paravirtualization involves modifying the guest OS to work more efficiently with the hypervisor, improving performance and allowing for efficient communication with the host.