CompTIA CV0-003 Questions Answers

Maximum resource consumption is what will help predict the operational expenditures in the cloud for an application that is being migrated from on premises to a public cloud provider. Operational expenditures are the ongoing costs of running and maintaining a system or service, such as cloud resources or services. Operational expenditures can vary depending on various factors, such as usage, demand, performance, etc. Maximum resource consumption is the highest amount of resources or capacity that are used or consumed by a system or service during peak periods of activity or load. Maximum resource consumption can help predict operational expenditures in the cloud by providing information such as:

Resource type: This indicates what type of resources are used or consumed by the system or service, such as compute, storage, network, etc.

Resource amount: This indicates how much of each resource type are used or consumed by the system or service, such as CPU cores, memory, disk space, bandwidth, etc.

Resource price: This indicates how much each resource type costs in the cloud provider’s pricing model, such as per hour, per GB, per Mbps, etc.

The chain of custody is a process that documents and preserves the integrity and authenticity of evidence from the time it is collected until it is presented in court. The chain of custody includes information such as who collected, handled, stored, or transferred the evidence, when and where it was done, and how it was done. By accidentally deleting the perpetrator’s user data, the security administrator has violated the chain of custody, as the evidence has been altered or destroyed and can no longer be used in court. Reference: [CompTIA Cloud+ Certification Exam Objectives], Domain 2.0 Security, Objective 2.4 Given a scenario, implement security automation and orchestration in a cloud environment.

CI/CD tools are software tools that enable continuous integration and continuous delivery or deployment, which are methods to frequently deliver software products to customers by introducing automation into the stages of software development. CI/CD tools can help a product-based company to transition to a method that provides the capability to enhance the product seamlessly and keep the development iterations to a shorter time frame, as they can offer the following benefits:

Faster and more reliable delivery of software products, as CI/CD tools can automate the processes of building, testing, and deploying code changes, reducing manual errors and delays.

Higher quality and performance of software products, as CI/CD tools can facilitate ongoing feedback, monitoring, and improvement of the code, ensuring that it meets the customer expectations and requirements.

Greater collaboration and communication among the development teams, as CI/CD tools can integrate with various tools and platforms, such as version control systems, code repositories, testing frameworks, and cloud services, enabling a seamless workflow and visibility across the software lifecycle.

Some examples of popular CI/CD tools are Jenkins1, CircleCI2, GitLab CI/CD3, and AWS CodeBuild4.