CV0-003 Premium Exam Questions

The performance issue is caused by the high demand of complex SQL queries on the database server, which consumes a lot of RAM and disk throughput. Increasing caching on the database server would reduce the number of disk reads and writes, as well as improve the response time of the queries by storing frequently accessed data in memory. This would be the best solution to resolve the performance issue. Reference: CompTIA Cloud+ Certification Exam Objectives, Domain 4.0 Troubleshooting, Objective 4.3 Given a scenario, troubleshoot capacity issues within a cloud environment.

The best way to resolve the issue of an unusual increase in the read operations that is causing a heavy load in the system that is using a relational database and is running in a VM is to use a cache system to store reading operations. A cache system is a type of storage system that temporarily stores frequently accessed or recently used data in memory for faster retrieval. A cache system can reduce the load on the database system by serving the read requests from the cache instead of querying the database every time. Reference: [CompTIA Cloud+ Certification Exam Objectives], Domain 4.0 Troubleshooting, Objective 4.3 Given a scenario, troubleshoot capacity issues within a cloud environment.

A .yaml file is a common file type for defining the configuration and deployment of application containers in a cloud environment. YAML stands for YAML Ain’t Markup Language, and it is a human-readable data serialization language that uses indentation and keywords to represent the structure and values of the data1. A .yaml file can specify the properties of the container, such as the image, ports, environment variables, volumes, resources, and scaling rules. For example, to modify the replication factor of an automated application container from 3 to 5, the systems administrator can edit the .yaml file on the master controller and change the value of the replicas field under the spec section2. For example:

apiVersion: apps/v1 kind: Deployment metadata: name: my-app spec: replicas: 5 # change this value from 3 to 5 selector: matchLabels: app: my-app template: metadata: labels: app: my-app spec: containers: - name: my-app image: my-app-image ports: - containerPort: 80

A .txt file is a plain text file that can store any kind of text data, but it is not a standard format for defining container configurations. A .conf file is a configuration file that can store settings and parameters for various applications or services, but it is not commonly used for container deployments. A .etcd file is not a valid file type, but etcd is a distributed key-value store that provides a reliable way to store data across a cluster of machines3. Etcd is often used by Kubernetes, a popular platform for managing containerized applications, to store and synchronize the cluster state. However, etcd does not store the configuration files of the containers, but rather the runtime data of the cluster. Therefore, none of these options are correct.

RTO (Recovery Time Objective) is a metric that determines the maximum amount of time that a service can be unavailable or disrupted before it causes unacceptable consequences for the business. RTO is normally measured in minutes, hours, or days, and it is based on the criticality and priority of the service. RTO is one of the key metrics that can determine the service recovery duration, as it defines the target time frame for restoring the service to normal operations after a disaster. For example, if a company has an RTO of four hours for its email service, it means that it aims to recover the email service within four hours after a disaster, such as a server failure or a network outage.