CLO-002 Exam Dumps : CompTIA Cloud Essentials+

Replication is a data management capability that involves creating and maintaining copies of data across multiple locations or systems1. Replication can help reduce the Recovery Point Objective (RPO) of an application, which is the maximum acceptable amount of data loss measured in time2. By replicating data frequently and consistently, the risk of losing data in the event of a disruption or failure is minimized, as the data can be restored from the most recent replica. Replication can also improve the availability, performance, and scalability of an application, as the data can be accessed from multiple sources and distributed across different regions3.

Locality is a data management capability that refers to the physical location or proximity of data to the users or applications that access it4. Locality can affect the latency, bandwidth, and cost of data transfer, as well as the compliance with data sovereignty and privacy regulations. Locality does not directly reduce the RPO of an application, but rather influences the choice of where to store and replicate data.

Portability is a data management capability that refers to the ease of moving data across different platforms, systems, or environments. Portability can enable the interoperability, integration, and migration of data, as well as the flexibility and agility of data management. Portability does not directly reduce the RPO of an application, but rather enables the use of different data sources and destinations.

Archiving is a data management capability that involves moving or copying data that is no longer actively used to a separate storage device or system for long-term retention. Archiving can help optimize the storage space, performance, and cost of data, as well as comply with data retention and preservation policies. Archiving does not directly reduce the RPO of an application, but rather preserves the historical data for future reference or analysis. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 3: Cloud Data Management, pages 97-99.

 Availability zones are logical data centers within a cloud region that are isolated and independent from each other. Availability zones have their own power, cooling, and networking infrastructure, and are connected by low-latency networks. Availability zones help to ensure high availability and fault tolerance for cloud applications by allowing customers to deploy their resources across multiple zones within a region. If one availability zone experiences an outage or maintenance, the other zones can continue to operate and serve the application12

To ensure the CSP does not bring both servers down for maintenance at the same time, the cloud administrator must configure the application to use availability zones. The administrator can deploy the two database servers in different availability zones within the same region, and enable replication and synchronization between them. This way, the application can access either server in case one of them is unavailable due to maintenance or failure. The administrator can also use load balancers and health checks to distribute the traffic and monitor the status of the servers across the availability zones34

Backups are not the best option to ensure the CSP does not bring both servers down for maintenance at the same time, because backups are copies of data that are stored in another location for recovery purposes. Backups can help to restore the data in case of data loss or corruption, but they do not provide high availability or fault tolerance for the application. Backups are usually performed periodically or on-demand, rather than continuously. Backups also require additional storage space and bandwidth, and may incur additional costs.

Autoscaling is not the best option to ensure the CSP does not bring both servers down for maintenance at the same time, because autoscaling is a feature that allows customers to scale their cloud resources up or down automatically, based on predefined conditions such as traffic or utilization levels. Autoscaling can help to optimize the performance and costs of the application, but it does not guarantee high availability or fault tolerance for the application. Autoscaling may not be able to scale the resources fast enough to handle sudden spikes or drops in demand, and it may also introduce additional complexity and overhead for managing the resources.

Replication is not the best option to ensure the CSP does not bring both servers down for maintenance at the same time, because replication is a process of copying and synchronizing data across multiple locations or devices. Replication can help to improve the availability and consistency of the data, but it does not prevent the CSP from bringing both servers down for maintenance at the same time. Replication also depends on the availability and connectivity of the locations or devices where the data is replicated, and it may also increase the network traffic and storage requirements.

References: 1: 2: page 42  3: 4: : page 44 : page 46 : page 48

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