CompTIA Updated CV0-003 Exam Questions and Answers by olivia-rose

1. Understanding the Options:

Predeveloped AI/ML solutions are turnkey tools that address specific AI tasks like image recognition, video analysis, and natural language processing (NLP).

2. Analyzing the Options:

A. Natural language processing, forecasting, and VoIP:

Incorrect. VoIP is not an AI/ML solution; it is a telecommunication technology. ❌

B. Serverless application, image recognition, and speech recognition:

Incorrect. Serverless applications are related to cloud computing architectures, not AI/ML solutions. ❌

C. Code review, anomaly detection, and elasticity:

Incorrect. While anomaly detection is an AI/ML solution, elasticity refers to cloud resource scaling and is unrelated to AI. ❌

D. Image recognition, video analysis, and natural language processing:

Correct. These are classic examples of predeveloped AI/ML solutions. ✅

3. Predeveloped AI/ML Solution Examples:

Image recognition: Recognizes objects or patterns in images.

Video analysis: Processes and analyzes video content for insights.

Natural language processing: Enables machines to interpret and respond to human language.

4. References:

CompTIA Cloud+ Objectives:

Section 3.5 - Perform cloud migrations, discussing integration of predeveloped AI/ML solutions.

CompTIA Study Guide: Examples of AI/ML solutions for real-world applications.

Hardened baselines are a set of security best practices that reduce the vulnerability of a system to exploits by reducing its attack surface1. They are also known as security configurations or benchmarks, and they provide a standard level of system hardening for an organization23.

Checking the hardened baselines of the servers is the first step that a cloud administrator should take to ensure compliance with the company’s security policy. This is because hardened baselines can help to:

Identify and eliminate common vulnerabilities and exposures (CVEs) that attackers can exploit1.

Remove unnecessary or unused services, accounts, software, and ports that can increase the attack surface23.

Apply appropriate settings and controls for encryption, authentication, authorization, firewall, and logging23.

Streamline audits and testing by reducing complexity and providing a reliable benchmark23.

An Intrusion Detection System (IDS) is a software or hardware system that monitors network traffic for malicious activity and alerts the administrator of any potential threats. An Intrusion Prevention System (IPS) is a software or hardware system that not only detects but also blocks or mitigates the malicious activity. Both IDS and IPS are essential for securing a web application in a cloud environment1.

A web proxy server is a server that acts as an intermediary between the client and the web server. It can provide caching, filtering, and authentication services, but it does not offer IDS/IPS functionality. Therefore, option A is incorrect.

Load balancing using SSI (Server Side Includes) is a technique that distributes the workload among multiple web servers by inserting dynamic content into web pages. It can improve the performance and availability of a web application, but it does not provide IDS/IPS protection. Therefore, option B is incorrect.

Implementing IDS/IPS agents on each instance running in that virtual private network is a valid solution for providing IPS protection for traffic coming from the internet. The agents can monitor and inspect the network traffic on each instance and block or report any suspicious activity to a central management console. This can prevent attacks from reaching the web application or spreading to other instances in the same network. Therefore, option C is correct.

Implementing dynamic routing is a technique that allows routers to select the best path for forwarding packets based on network conditions. It can enhance the reliability and efficiency of a network, but it does not offer IDS/IPS functionality. Therefore, option D is incorrect.

Tags are metadata or labels that can be attached to cloud resources, such as VMs, storage, or networks. Tags can help organize, identify, and manage cloud resources, as well as track their usage and costs. Tags can also be used to implement chargeback or showback policies, which are methods of allocating the cloud services bill to different departments or consumers based on their consumption of resources .

A cloud administrator can modify the tags for all the unmapped resources to correct the billing issue. By adding or updating the tags with the relevant department or consumer name, the administrator can ensure that the resources are billed to the correct entity. The administrator can also use the tags to filter, sort, or group the resources on the billing dashboard, and generate reports or alerts based on the tags .

Checking the utilization of the resources may help identify the purpose or owner of the resources, but it will not help correct the billing issue. The administrator still needs to modify the tags for the resources to assign them to the appropriate department or consumer.

Modifying the chargeback details of the consumer may help adjust the billing rate or method for a specific consumer, but it will not help correct the billing issue. The administrator still needs to modify the tags for the resources to associate them with the consumer.

Adding the resources to the consumer monitoring group may help monitor the performance or availability of the resources for a specific consumer, but it will not help correct the billing issue. The administrator still needs to modify the tags for the resources to link them with the consumer.