Cisco® 350-901 Exam Practice Questions (P. 2)

GPT-4o - Answer

Indeed, for a JavaScript module to be deployed on Google Kubernetes Engine, it is essential to encapsulate it within a Docker container. This is achieved by crafting a Dockerfile that outlines how the Docker image for the application should be constructed. This image then becomes deployable on Kubernetes. Importantly, rewriting in another language or creating coding wrappers are not prerequisites for deployment in this context. Instead, ensuring your application and its modules are correctly dockerized is critical to leverage Kubernetes effectively.

GPT-4o - Answer

Absolutely, D is the way to go for handling highly structured data with ACID support. Relational databases are built to manage structured data excellently. They adhere strictly to ACID properties, ensuring data integrity and reliability especially in transaction processing. This makes them ideal when you need a trustworthy system that can handle operations requiring precise data management, consistency, and recovery mechanisms. So, if you're looking for a database system that provides strong transactional support and structured data handling, relational databases are your go-to.

GPT-4o - Answer

In the scenario of a horizontally scalable architecture, distributed load balancing optimally occurs on the network side, usually handled by central systems designed to manage increased traffic across multiple servers smoothly. This approach allows efficient management of network traffic and provides a single point of control for balancing the loads, which is crucial in maintaining performance and reliability as the scale increases. While other forms of load balancing exist, such as client-side or service-side, the network-side approach directly addresses the distribution needs inherent in horizontal scalability by evenly distributing client requests across all available servers.

GPT-4o - Answer

In a stateless application, each request must be able to operate independently. This is why answers A and B are correct. Since the app doesn't rely on previous interactions, different requests can be handled by different servers, and each request carries all the necessary information within itself. This architecture allows for greater scalability and flexibility. It's important to note that while servers might technically be capable of sharing state information via databases or caches, this does not align with the fundamental definition of a 'stateless' app which treats each request as complete in itself.

GPT-4o - Answer

Microservices architecture indeed centers on decomposing complex applications into smaller, independent parts, commonly referred to as services. Each microservice performs distinct business functionalities and can be developed, deployed, and scaled independently. This modular approach enhances maintainability and flexibility - key attributes in dynamic software development environments. The architecture's power lies in its ability to simplify the development of large systems by isolating services, resulting in independent lifecycle management for each component without affecting others.

GPT-4o - Answer

In gRPC, JSON and ProtoBuf are indeed two primary data encoding techniques utilized. ProtoBuf, short for Protocol Buffers developed by Google, is the standard encoding, offering efficient and streamlined data structuring across multiple languages. JSON, although traditionally associated with web applications, is also adopted in gRPC especially for interoperability with systems that already use JSON. This combination offers flexibility, allowing developers to choose between efficiency with ProtoBuf and tooling and readability with JSON. However, contrary to user comments suggesting YAML as a correct choice, YAML is not natively supported by gRPC for data encoding.

GPT-4o - Answer

The correct transport protocol used by gNMI is HTTP/2. This is because gNMI, which stands for gRPC Network Management Interface, operates on gRPC. gRPC, a modern open-source high-performance RPC framework, fundamentally uses HTTP/2 as its transport layer. HTTP/2 provides essential features such as multiplexing and header compression that are critical for efficient network management and communication, enhancing the gNMI’s functionality in managing network configurations and viewing operational data effectively. Thus, HTTP/2 is the backbone enabling these capabilities in gNMI.