Exin CITM Exam With Confidence Using Practice Dumps

Afirewallis categorized as atechnical preventive control(A) ininformation security management. According toISO/IEC 27001, preventive controls aim to stop security incidents before they occur, and technical controls involve technology-based solutions. A firewall prevents unauthorized access to the network perimeter by filtering traffic, making it a technical preventive control.

Physical detective control (B):Involves physical measures (e.g., cameras) to detect incidents, not applicable to firewalls.

Administrative deterrent control (C):Involves policies or procedures to discourage violations, not technology-based.

Physical corrective control (D):Addresses physical issues post-incident, not relevant to firewalls.

Given the constraints oflittle to no budgetandlimited time,internet job boardsare the ideal sourcing method. They are cost-effective (often free or low-cost), allow quick posting of job openings, and reach a wide pool of candidates, enabling rapid hiring.

Word of mouth (A) is informal and may not yield qualified candidates quickly. Internal IT staff based on SWOT analysis (B) is not a standard recruitment method and takes time to analyze. Recruitment agencies (D) are expensive and slower due to their processes, making them unsuitable for low-budget, urgent hiring.

The scenario describes a virtual assistant designed to provide simple instructions for product returns based onpre-defined questionscommonly asked by customers. This indicates the use ofsupervised machine learning(B), where the system is trained on a labeled dataset (e.g., questions paired with correct responses) to predict appropriate answers. Supervised learning is ideal for applications like chatbots or virtual assistants that rely on predefined input-output pairs to handle customer queries efficiently.

Unsupervised (A):Involves finding patterns in unlabeled data (e.g., clustering), not suitable for predefined question-response tasks.

Reinforcement learning (C):Focuses on learning through trial and error with rewards, used in dynamic environments (e.g., robotics), not for static question answering.

Deep learning (D):A subset of supervised or unsupervised learning using neural networks, but the question doesn’t specify complex architectures, making supervised learning the broader, correct choice.

Supervised learning aligns withIT strategyfor deploying AI-driven customer support tools, as it ensures accurate, predictable responses based on trained data, enhancing user experience in a global retail system.