CLO-002 Exam Dumps - CompTIA Cloud Essentials+

Geo-redundancy is the best option for a company that needs to ensure data availability in multiple datacenters around the world. Geo-redundancy is the duplication of IT infrastructure and data across geographically dispersed locations, such as different regions or continents1. Geo-redundancy provides several benefits for cloud-based applications, such as:

• High availability: Geo-redundancy can improve the availability of cloud services by reducing the impact of regional outages, disasters, or network failures. If one datacenter becomes unavailable, the application can switch to another datacenter that has a copy of the data and continue to operate2.
• Performance: Geo-redundancy can enhance the performance of cloud services by reducing the latency and bandwidth consumption for users who are located far from the primary datacenter. By having datacenters closer to the users, the application can deliver faster and more consistent responses3.
• Compliance: Geo-redundancy can help the company comply with regulatory or legal requirements that mandate data sovereignty or data protection. By having datacenters in different jurisdictions, the company can store and process data according to the local laws and regulations4.

The other options are not as suitable as geo-redundancy for the company’s needs because:

• Auto-scaling: Auto-scaling is the ability of cloud services to automatically adjust the amount of resources allocated to an application based on the demand and workload. Auto-scaling can improve the scalability and cost-efficiency of cloud services, but it does not guarantee data availability in multiple datacenters5.
• Disaster recovery: Disaster recovery is the process of restoring the normal operation of an application after a disruption or failure. Disaster recovery can involve backup, restore, and failover mechanisms, but it does not necessarily require data replication across multiple datacenters.
• High availability: High availability is the degree to which an application can operate without interruption or downtime. High availability can be achieved by using redundant components, load balancing, and fault tolerance techniques, but it does not imply data distribution across multiple datacenters.

References:

• 1: Georedundancy - Open Telekom Cloud
• 2: Why geo-redundancy for cloud infrastructure is a ‘must have’
• 3: Use geo-redundancy to design highly available applications
• 4: Protect your cloud infrastructure with geo-redundancy - Data Centre Review
• 5: What is Auto Scaling? - Amazon Web Services
• : What is Disaster Recovery? - Microsoft Azure
• : What is High Availability? - IBM Cloud

Geo-redundancy is the distribution of mission-critical components or infrastructures, such as servers, across multiple data centers that reside in different geographic locations1. Geo-redundancy acts as a safety net in case the primary site fails or in the event of a disaster or an outage that impacts an entire region1. Geo-redundancy also reduces latency and ensures close proximity to end users by delivering web content from the nearest data center2. Geo-redundancy is a common feature of cloud computing, as it provides high availability, reliability, and performance for cloud applications and services2.

Replication is the process of copying data from one location to another, such as from a primary site to a secondary site, or from one cloud provider to another3. Replication is a necessary but not sufficient condition for geo-redundancy, as it does not guarantee that the replicated data is accessible or consistent across different regions3. Replication can also introduce operational complexity and data synchronization issues3.

Zones are logical or physical partitions of a cloud provider’s infrastructure that offer high availability and fault tolerance within a region4. Zones are usually located in the same or nearby data centers, and are connected by low-latency network links4. Zones can help distribute the workload and prevent single points of failure, but they do not provide geo-redundancy, as they are still vulnerable to regional outages or disasters4.

Backup is the process of creating and storing copies of data for the purpose of recovery in case of data loss or corruption5. Backup is an important part of data protection and disaster recovery, but it does not provide geo-redundancy, as it does not ensure that the backup data is available or up-to-date in different regions5. Backup can also have longer recovery time and higher cost than geo-redundancy5. References: Use geo-redundancy to design highly available applications; Geo Redundancy Explained | Cloudify; Georedundancy - Open Telekom Cloud; Why geo-redundancy for cloud infrastructure is a ‘must have’; Geo-Redundancy: Why Is It So Important? | Unitrends.

 A baseline is a standard or reference point that is used to measure and compare the current state of a system or process. A baseline can be established for various aspects of a system, such as performance, security, configuration, functionality, or quality. A baseline can help to identify deviations, anomalies, or changes that occur over time, and to evaluate the impact of those changes on the system or process. A baseline can also help to restore a system or process to its original or desired state, by providing a reference for corrective actions. In this case, the organization has experienced repeated occurrences of system configurations becoming incorrect over time, which can affect the security, reliability, and functionality of the systems. After implementing corrections on all system configurations across the enterprise, the CISO purchased an automated tool that will monitor system configurations and identify any deviations. In the future, the organization should use a baseline to identify incorrectly configured systems, by comparing the current system configurations with the baseline system configurations that were established after the corrections. A baseline can help the organization to detect and prevent configuration drift, which is the gradual but unintentional divergence of a system’s actual configuration settings from its secure baseline configuration. A baseline can also help the organization to apply configuration management, which is the process of planning, identifying, controlling, and verifying the configuration of a system or process throughout its lifecycle. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 4: Cloud Security, Section 4.2: Cloud Security Concepts, Page 153. What a Baseline Configuration Is and How to Prevent Configuration Drift - Netwrix1 Configuration Baselines - AcqNotes2

The capital expenditure (CapEx) model is a financial model where an organization pays for the acquisition of physical assets upfront and then deducts that expense from its tax bill over time1. The CapEx model is typically used for on-premises infrastructure, where the organization has to purchase, install, and maintain servers, software licenses, and other hardware components. The CapEx model requires a large initial investment, but it also provides more control and ownership over the assets2.

The cloud, on the other hand, usually follows the operational expenditure (OpEx) model, where an organization pays for the consumption of cloud services on a regular basis, such as monthly or hourly. The OpEx model is also known as the pay-as-you-go model, and it allows the organization to scale up or down the cloud resources as needed, without having to incur any upfront costs or long-term commitments2. The OpEx model provides more flexibility and agility, but it also introduces more variability and uncertainty in the cloud expenditures3.

However, some cloud providers offer reservation models, where an organization can reserve cloud resources in advance for a fixed period of time, such as one or three years, and receive a discounted price compared to the pay-as-you-go rate. Reservation models can help an organization plan for cloud expenditures in a way that most closely aligns with the CapEx model, as they involve paying a lump sum upfront and then amortizing that cost over the reservation term4. Reservation models can also provide more predictability and stability in the cloud costs, as well as guarantee the availability and performance of the reserved resources5.

One example of a reservation model is the Amazon EC2 Reserved Instances (RI), which allow an organization to reserve EC2 instances for one or three years and save up to 75% compared to the on-demand price. Another example is the Azure Reserved Virtual Machine Instances (RIs), which allow an organization to reserve VMs for one or three years and save up to 72% compared to the pay-as-you-go price. Reservation models are also available for other cloud services, such as databases, containers, storage, and networking.

Therefore, using reserved cloud instances is the best strategy to plan for cloud expenditures in a way that most closely aligns with the CapEx model, as it involves paying a fixed amount upfront and receiving a discounted price for the reserved resources over a specified term. References: 1: https://www.browserstack.com/guide/capex-vs-opex  2: https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, Chapter 6, page 215-216  3: https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/financial-considerations/  4: https://docs.aws.amazon.com/whitepapers/latest/cost-optimization-reservation-models/welcome.html  5: https://learn.microsoft.com/en-us/azure/well-architected/cost/design-price : https://aws.amazon.com/ec2/pricing/reserved-instances/ : https://azure.microsoft.com/en-us/pricing/reserved-vm-instances/ : https://www.comptia.org/training/books/cloud-essentials-clo-002-study-guide, Chapter 5, page 179-180

Availability is one of the security objectives that refers to the ability of authorized users to access and use the system and its resources when needed1. Availability is most improved when moving a system to the cloud, as cloud computing offers several benefits that enhance the reliability and accessibility of the system, such as23:

• Scalability: Cloud computing allows the system to dynamically adjust the amount of resources allocated to meet the changing demand, without affecting the performance or availability of the system.
• Redundancy: Cloud computing provides multiple copies of the system and its data across different locations and servers, ensuring that the system can continue to operate even if one or more components fail.
• Backup and recovery: Cloud computing enables the system to regularly backup the data and configuration to the cloud, and restore them quickly in case of a disaster or a failure.
• Maintenance and updates: Cloud computing allows the system to receive timely and automatic updates and patches from the cloud provider, without disrupting the availability of the system or requiring downtime.
• Service level agreements: Cloud computing offers service level agreements (SLAs) that guarantee a certain level of availability and uptime for the system, and provide compensation or remediation in case of a breach. References: 1: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 4: Cloud Security, Section 4.1: Cloud Security Concepts, Subsection 4.1.1: Security Objectives; 2: IBM, What is Cloud Security? Cloud Security Defined; 3: Spiceworks, What Is Cloud Computing Security? Definition, Risks, and Security Best Practices

 Transference is a risk response strategy that involves shifting the responsibility or impact of a risk to a third party, such as an insurance company, a vendor, or a partner. By purchasing insurance, the company transferred the financial liability of the cloud migration project to the insurance provider, in case of any losses or damages. Transference does not eliminate the risk, but it reduces the exposure of the company to the risk12. References: CompTIA Cloud Essentials+ Certification Study Guide, Second Edition (Exam CLO-002), Chapter 4: Risk Management, pages 104-105.

Auto-scaling and CDN are two technologies that would help a game company prepare its cloud infrastructure to support a global distribution workload of a newly released online game.

Auto-scaling is the ability of a cloud service to automatically adjust the amount of resources, such as compute, storage, or bandwidth, based on the demand or load of the service. Auto-scaling can help a game company to handle the spikes or fluctuations in the number of players or traffic that may occur during the launch or peak times of a new online game. Auto-scaling can also help the game company to optimize the performance, availability, and cost of the cloud service, as it can scale up or down the resources as needed. Auto-scaling can be triggered by predefined rules, metrics, or schedules, or by using machine learning or artificial intelligence to predict the demand patterns12

CDN stands for Content Delivery Network, which is a network of distributed servers that deliver content, such as web pages, images, videos, or games, to the end-users based on their geographic location, the origin of the content, and the network conditions. CDN can help a game company to distribute its online game to a global audience, as it can reduce the latency, bandwidth, and load on the origin server, and improve the user experience, security, and reliability of the content delivery. CDN can also help the game company to cope with the high volume of requests or traffic that may occur during the launch or peak times of a new online game. CDN can use various techniques, such as caching, compression, encryption, or load balancing, to optimize the content delivery34

References: CompTIA Cloud Essentials+ Certification Exam Objectives5, CompTIA Cloud Essentials+ Study Guide, Chapter 4: Cloud Storage6, Chapter 6: Cloud Connectivity and Load Balancing7

According to the CompTIA Cloud Essentials+ CLO-002 Study Guide, there are four common risk response types: avoid, share or transfer, mitigate, and accept1. These are the appropriate responses to risks, depending on the risk type, assessment, and attitude. The other options are incorrect because they include terms that are not valid risk responses. For example, migrate is not a risk response, but a cloud deployment strategy. Validate is not a risk response, but a quality assurance technique. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 4: Cloud Security, Section 4.2: Cloud Security Concepts, Page 153.