Cisco® 350-901 Exam Practice Questions (P. 1)

GPT-4o - Answer

Answer A, which opts for an active/passive configuration with timely data synchronization between data centers, is indeed appropriate for minimizing downtime and achieving lower RTO and RPO. In an active/passive setup, one system is actively handling requests, while another stands by ready to take over seamlessly in case of system failure. This configuration, coupled with timely data synchronization, ensures that the passive system can become active with virtually no loss of data or operational delays, thereby significantly minimizing downtime and enhancing overall system resilience.

GPT-4o - Answer

The correct choice is A, as deploying code to environments like staging or production should ideally be omitted when the code is still in the development phase and actively being worked on. Deploying partially completed code can lead to unexpected behaviors in production environments, undermining the stability and reliability of the application. Always ensure that deployments to these environments are made with thoroughly tested and completed code to maintain application integrity.

GPT-4o - Answer

The correct choices per the 12-factor methodology, which focuses on treating logs as event streams, should favor output via standard output (stdout), not through managing specific log files or nodes. Thus, A is definitely correct as it adheres directly to treating logs simply as event streams that each process should write directly to stdout, rather than managing how they’re stored or processed locally. While user comment 3 & 5 align with the question's original answers, it's important to note that the methodology advises against using specific log files (option D). This might suggest a reconsideration towards option C, given its alignment with exporting logs to external systems without management by the application itself.

GPT-4o - Answer

Indeed, adding "try/catch(exception)" clauses within the application code allows handling unexpected or erroneous situations gracefully without causing the entire container to crash. This practice helps to maintain the application's performance by avoiding unnecessary restarts of containers, which consume resources and time, ultimately affecting the application's speed and reliability during peak loads. This targeted approach to error handling is crucial for improving application resiliency and stability, especially in a microservices architecture where independent services must operate reliably.

GPT-4o - Answer

The correct answer, "D," pertaining to saving and queuing requests for sequential processing, suits scenarios where request volume exceeds processing capacity, thus ensuring all requests are eventually served without system overload. This approach is useful in managing spikes in demand by queuing excessive requests and processing them in an orderly fashion, promoting fairness and efficiency in resource utilization. It’s a practical solution for maintaining service availability and responsiveness without denying access outright, a critical attribute for applications experiencing variable load intensities.

GPT-4o - Answer

Absolutely, choices B and C enhance the observability of the application. Implementing a tagging methodology allows precise tracing of each component in the service flow, cutting down on troubleshooting and identification time when issues arise. Similarly, adding logging at the point of exception combined with immediate notification speeds up the response time to issues, ensuring they are addressed promptly. Both these strategies are crucial for maintaining the robustness and reliability of a microservices architecture.

GPT-4o - Answer

The correct selections "A" and "E" are well-supported by the functionality of OWASP Dependency Check and similar tools. These tools are specifically designed to identify publicly disclosed vulnerabilities in project dependencies (like those noted in option "A") and have capabilities related to finding certain high-confidence security flaws within dependencies, including buffer overflows (as referred to in "E"). It's key to recognize that while dependency checks are robust in spotting known vulnerabilities and high-risk security issues, they do not typically address issues like mismatched coding styles or incompatible licenses.

GPT-4o - Answer

The correct choice, Ansible and Terraform, leverages the strengths of both tools in a complementary fashion. Terraform is ideal for setting up and managing the infrastructure on the cloud, like VMs, ensuring that the infrastructure itself is as transient as required by being able to stand it up and tear it down programmatically. On the other hand, Ansible excels in configuration management, making it suitable for setting up the software environment needed on those VMs to manage network operations efficiently. Together, they provide a robust solution for automated, ephemeral environments as needed by the network operations team.