Which essential characteristic of cloud computing is emphasized by the on-demand self-service feature?
- Broad Network Access
- Measured Service
- Rapid Elasticity
- Self-Service Capabilities
The "on-demand self-service" feature emphasizes "Self-Service Capabilities." This is one of the key characteristics, enabling users to provision and manage services on-demand without human intervention, enhancing agility and reducing administrative burden.
A multinational corporation collects data from various sources, including IoT devices, web logs, and customer interactions. They need a solution that can store vast amounts of diverse data and make it available for advanced analytics. Which solution would best fit their needs?
- Amazon S3
- Hadoop Distributed File System (HDFS)
- MongoDB
- PostgreSQL
For a corporation with diverse data sources, HDFS is a distributed file system designed to store and analyze big data. It can handle a wide range of data types, making it suitable for advanced analytics.
Which pattern is essential in ensuring that microservices can independently scale based on their individual needs?
- Circuit Breaker
- Event Sourcing
- Load Balancing
- Service Discovery
Load Balancing is essential to distribute the traffic evenly among microservices, enabling independent scaling based on their needs.
An organization is setting up a system where every time a new row is added to a Google BigQuery table, some computations should be performed, and the results sent to an external API. Which Google Cloud service would facilitate this behavior?
- Google Cloud App Engine
- Google Cloud Dataflow
- Google Cloud Functions
- Google Cloud Pub/Sub
Google Cloud Dataflow is designed for real-time data processing and can be used to process new rows in BigQuery and send results to an external API.
In the ________ model, the customer has control over applications, data, runtime, and middleware, while the provider manages virtualization, servers, storage, and networking.
- FaaS (Function as a Service)
- IaaS (Infrastructure as a Service)
- PaaS (Platform as a Service)
- SaaS (Software as a Service)
In the PaaS model, the customer can focus on developing and managing applications without dealing with the underlying infrastructure. The provider takes care of virtualization, servers, storage, and networking.
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 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.