Free CompTIA CLO-002 Practice Exam with Questions & Answers | Set: 4

 Disposable resources are cloud resources that are not needed for the long-term operation of an application or service, and can be easily created and deleted on-demand. Examples of disposable resources include temporary storage, spot instances, and disposable virtual machines. Disposable resources can help to reduce costs and improve flexibility, but they also incur charges when they are in use or attached to other resources. Therefore, when a company decommissioned its testing environment, it should detach and delete disposable resources first to avoid charges12

Emptying the logging directory is not the best option to avoid charges, because logging directory is a folder that stores the records of events and activities that occur in an application or service. Logging directory can help to monitor and troubleshoot the performance and issues of the application or service, but it does not directly affect the charges of the cloud resources. Emptying the logging directory may also result in the loss of valuable information and insights that can be used for future improvement or analysis.

Deleting infrastructure as code templates is not the best option to avoid charges, because infrastructure as code templates are files that define and configure the cloud resources using code or scripts. Infrastructure as code templates can help to automate and standardize the deployment and management of the cloud resources, but they do not directly affect the charges of the cloud resources. Deleting infrastructure as code templates may also make it harder to recreate or modify the cloud resources in the future.

Disabling alerts and alarms is not the best option to avoid charges, because alerts and alarms are notifications that are triggered by certain conditions or thresholds that are set for the cloud resources. Alerts and alarms can help to notify and respond to the changes or issues of the cloud resources, but they do not directly affect the charges of the cloud resources. Disabling alerts and alarms may also make it difficult to detect and resolve any problems or anomalies that may occur in the cloud resources.

References: 1: https://docs.microsoft.com/en-us/azure/virtual-machines/disposable-vm  2: https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, page 46

Encryption in transit is the process of protecting data from unauthorized access or modification while it is being transferred from one location to another, such as from an on-premises data center to a cloud service provider. Encryption in transit uses cryptographic techniques to scramble the data and make it unreadable to anyone who intercepts it, except for the intended recipient who has the key to decrypt it. Encryption in transit is one of the best approaches to optimize data security in an IaaS migration, as it reduces the risk of data breaches, tampering, or leakage during the data transfer. Encryption in transit can be implemented using various methods, such as Transport Layer Security (TLS), Secure Sockets Layer (SSL), Internet Protocol Security (IPsec), or Secure Shell (SSH).

Encryption in transit is different from other options, such as reviewing the risk register, performing a vulnerability scan, or performing server hardening. Reviewing the risk register is the process of identifying, analyzing, and prioritizing the potential threats and impacts to the data and the cloud environment. Performing a vulnerability scan is the process of detecting and assessing the weaknesses or flaws in the data and the cloud infrastructure that could be exploited by attackers. Performing server hardening is the process of applying security measures and configurations to the cloud servers to reduce their attack surface and improve their resilience. While these options are also important for data security, they do not directly address the data protection during the migration process, which is the focus of the question. References: What is encryption in transit? - Definition from WhatIs.com, Data Encryption in Transit Guidelines - UC Berkeley Security, Cloud Computing Security - CompTIA Cloud Essentials+ (CLO-002) Cert Guide

 After documenting the business use-case scenarios, the architect’s next step should be to conduct a feasibility study. A feasibility study is an analysis of the viability and suitability of a proposed solution or project, such as migrating to the cloud. A feasibility study evaluates the technical, operational, financial, legal, and ethical aspects of the solution, as well as the risks and benefits involved. A feasibility study helps the architect to determine if the solution is feasible, desirable, and achievable, and to identify any potential issues or challenges that may arise1. A feasibility study is one of the key components of a cloud assessment, which is a process of evaluating the readiness and suitability of an organization for cloud adoption1.

A proof of concept (PoC) is a demonstration or prototype of a solution that shows how it works and what it can achieve. A PoC is usually done after a feasibility study, when the solution has been proven to be feasible and the requirements have been defined1.

A gap analysis is a comparison of the current state and the desired state of a process, system, or organization. A gap analysis identifies the gaps or differences between the two states, and the actions or resources needed to close them. A gap analysis is usually done after a feasibility study and a PoC, when the solution has been validated and the goals have been established1.

Gathering cloud requirements is the process of collecting and analyzing the needs and expectations of the stakeholders for the cloud solution. Gathering cloud requirements is usually done after a feasibility study and before a PoC, when the solution has been confirmed to be feasible and the scope has been defined1. References: CompTIA Cloud Essentials+ Certification | CompTIA IT Certifications, The New CompTIA Cloud Essentials+: Setting the Foundation For Vendor-specific IT Certifications, CompTIA Cloud Essentials CLO-002 Certification Study Guide

 A disaster recovery plan (DRP) is a document that defines the procedures and resources needed to restore normal operations after a major disruption. A DRP typically includes the following elements:

• The scope and objectives of the plan
• The roles and responsibilities of the DR team
• The inventory and location of critical assets and resources
• The recovery strategies and procedures for different scenarios
• The testing and maintenance schedule for the plan
• The communication plan for internal and external stakeholders

One of the key components of a DRP is the recovery sequence, which is the optimal, sequential order in which cloud resources should be recovered in the event of a major failure. The recovery sequence is based on the priority and dependency of the resources, as well as the recovery time objective (RTO) and recovery point objective (RPO) of the business. The recovery sequence helps to minimize the downtime and data loss, and ensure the continuity of the business operations.

A recovery point objective (RPO) is the maximum acceptable amount of data loss measured in time. It indicates how often the data should be backed up and how much data can be restored after a disaster. A recovery time objective (RTO) is the maximum acceptable amount of time that a system or application can be offline after a disaster. It indicates how quickly the system or application should be restored and how much downtime can be tolerated by the business.

An incident response plan (IRP) is a document that defines the procedures and actions to be taken in response to a security breach or cyberattack. An IRP typically includes the following elements:

• The scope and objectives of the plan
• The roles and responsibilities of the incident response team
• The incident identification and classification criteria
• The incident containment, eradication, and recovery steps
• The incident analysis and reporting methods
• The incident prevention and improvement measures

A network topology diagram is a visual representation of the physical and logical layout of a network. It shows the devices, connections, and configurations of the network. A network topology diagram can help to identify the potential points of failure, the impact of a failure, and the recovery options for a network. However, it does not define the optimal, sequential order in which cloud resources should be recovered in the event of a major failure.

References: The following sources were used to create this answer:

• Disaster recovery planning guide | Cloud Architecture Center - Google Cloud
• What is Disaster Recovery and Why Is It Important? - Google Cloud
• Key considerations when building a disaster recovery plan for private cloud - Continuity Central
• 12 Essential Points Of the Disaster Recovery Plan Checklist - NAKIVO
• Building a Cloud Disaster Recovery Plan: Tips and Approaches - MSP360

 Data sovereignty is the concept that best represents the requirement for keeping intellectual property within a country’s borders. Data sovereignty refers to the idea that data is subject to the laws and governance of the country in which it is stored or processed. Data sovereignty can have implications for data privacy, security, compliance, and access, as different countries may have different regulations, standards, or policies regarding data protection, ownership, or transfer. Data sovereignty can also affect the choice of cloud providers, as some cloud providers may store or process data in multiple locations across the world, which may not comply with the data sovereignty requirements of the customer or the country. Therefore, customers who need to ensure data sovereignty should carefully review the terms and conditions of the cloud provider, and choose the one that offers the appropriate data location, encryption, or isolation options12

References: CompTIA Cloud Essentials+ Certification Exam Objectives3, CompTIA Cloud Essentials+ Study Guide, Chapter 4: Cloud Storage2, Intellectual Property Localization1

 An SLA (service level agreement) is a contract between a cloud service provider and a cloud customer that defines the expected level of service, performance, availability, and reliability of the cloud service. An SLA also specifies the contractually allowed downtime for a cloud-hosted application, which is the maximum amount of time that the application can be unavailable or inaccessible without violating the SLA. The contractually allowed downtime is usually expressed as a percentage of uptime, such as 99.9% or 99.99%, which corresponds to a certain number of hours or minutes per year, month, week, or day. For example, an SLA with 99.9% uptime means that the cloud service can be down for up to 8.76 hours per year, or 43.8 minutes per month, or 10.1 minutes per week, or 1.44 minutes per day. If the cloud service provider fails to meet the SLA, the cloud customer may be entitled to compensation or other remedies, such as credits, refunds, or termination of the contract. References: CompTIA Cloud Essentials+ CLO-002 Certification Study Guide, page 27-28; CompTIA Cloud Essentials+ Certification Training, CertMaster Learn for Cloud Essentials+, Module 2: Business Principles of Cloud Environments, Lesson 2.4: Cloud Service Agreements, Topic 2.4.2: Service Level Agreements

PaaS, or Platform as a Service, is a cloud service model that provides a complete, flexible, and cost-effective cloud platform for developing, running, and managing applications1. PaaS offers the best automated development environment for the software company, because it eliminates the need to install, configure, and maintain the hardware, software, and infrastructure required for application development and deployment. PaaS also provides access to a variety of tools, frameworks, languages, and services that can simplify and accelerate the development process. PaaS enables developers to focus on writing code, testing, and deploying applications, without worrying about the underlying platform. PaaS also supports continuous integration and delivery, which can automate the deployment of different environments, such as development, testing, QA, and staging2.

SaaS, or Software as a Service, is a cloud service model that provides ready-to-use software applications that run on the cloud provider’s infrastructure and are accessed via a web browser or an API3. SaaS does not offer an automated development environment for the software company, because it does not allow developers to create or modify the software applications, only to use them as end-users. SaaS is suitable for applications that have standard features and functionalities, such as email, CRM, or ERP, but not for custom applications that require specific requirements and capabilities.

IaaS, or Infrastructure as a Service, is a cloud service model that provides access to basic computing resources, such as servers, storage, network, and virtualization, that are hosted on the cloud provider’s data centers and are rented on-demand. IaaS does not offer an automated development environment for the software company, because it still requires developers to install, configure, and manage the software stack, such as operating systems, middleware, databases, and development tools, on top of the infrastructure. IaaS provides more control and flexibility over the infrastructure, but also more complexity and responsibility for the developers.

CaaS, or Containers as a Service, is a cloud service model that provides a platform for deploying and managing containerized applications on the cloud provider’s infrastructure. CaaS does not offer an automated development environment for the software company, because it assumes that the applications are already developed and packaged into containers, which are isolated and portable units of software that include all the dependencies and configurations needed to run them. CaaS provides a way to orchestrate, scale, and secure the containers, but not to develop them. CaaS is suitable for applications that are designed with a microservices architecture, which divides the application into smaller and independent components that communicate with each other via APIs. References: Cloud Automation vs Cloud Orchestration: Understanding the Differences; What is SaaS? Software as a service | Microsoft Azure; [What is IaaS? Infrastructure as a service | Microsoft Azure]; [What is CaaS? Containers as a service | IBM]; [What are microservices? | IBM].

Data sovereignty is the most important aspect to consider when defining the company’s needs for a multicloud model. Data sovereignty refers to the legal and regulatory requirements that apply to the data based on its location and ownership. Different cloud providers and regions may have different laws and regulations that affect how the data can be stored, processed, accessed, and transferred. For example, some countries may require that data generated within their borders must be stored locally and not transferred to other jurisdictions. Some cloud providers may also have different policies and practices regarding data security, privacy, and compliance. Therefore, the company needs to understand the data sovereignty implications of using multiple cloud platforms and ensure that they comply with the relevant laws and regulations.

References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 2: Cloud Concepts and Models, Section 2.3: Cloud Deployment Models, p. 66-67.

 Vendor lock-in is the type of risk that is most likely to be associated with moving all data to one cloud provider. Vendor lock-in refers to the situation where a customer is dependent on a particular vendor’s products and services to such an extent that switching to another vendor becomes difficult, time-consuming, or expensive. Vendor lock-in can limit the customer’s flexibility, choice, and control over their cloud environment, and expose them to potential issues such as price increases, service degradation, security breaches, or compliance violations. Vendor lock-in can also prevent the customer from taking advantage of new technologies, innovations, or opportunities offered by other vendors. Vendor lock-in can be caused by various factors, such as proprietary formats, standards, or protocols, lack of interoperability or compatibility, contractual obligations or penalties, or high switching costs12

References: CompTIA Cloud Essentials+ Certification Exam Objectives3, CompTIA Cloud Essentials+ Study Guide, Chapter 2: Business Principles of Cloud Environments2, Moving All Data to One Cloud Provider: Understanding Risks1