Q: 8
Scenario 6: Skyver manufactures electronic products, such as gaming consoles, flat-screen TVs,
computers, and printers. In order to ensure information security, the company has decided to
implement an information security management system (ISMS) based on ISO/IEC 27001.
Colin, the company's information security manager, decided to conduct a training and awareness
session for the company's staff about the information security risks and the controls implemented to
mitigate them. The session covered various topics, including Skyver's information security
approaches, techniques for mitigating phishing and malware, and a dedicated segment on securing
cloud infrastructure and services. This particular segment explored the shared responsibility model
and concepts such as identity and access management in the cloud. Colin organized the training and
awareness sessions through engaging presentations, interactive discussions, and practical
demonstrations to ensure that the personnel were well-informed by security principles and
practices.
One of the participants in the session was Lisa, who works in the HR Department. Although Colin
explained Skyver's information security policies and procedures in an honest and fair manner, she
found some of the issues being discussed too technical and did not fully understand the session.
Therefore, in many cases, she would request additional help from the trainer and her colleagues. In a
supportive manner, Colin suggested Lisa consider attending the session again.
Skyver has been exploring the implementation of AI solutions to help understand customer
preferences and provide personalized recommendations for electronic products. The aim was to
utilize AI technologies to enhance problem-solving capabilities and provide suggestions to
customers. This strategic initiative aligned with Skyver’s commitment to improving the customer
experience through data-driven insights.
Additionally, Skyver looked for a flexible cloud infrastructure that allows the company to host certain
services on internal and secure infrastructure and other services on external and scalable platforms
that can be accessed from anywhere. This setup would enable various deployment options and
enhance information security, crucial for Skyver's electronic product development.
According to Skyver, implementing additional controls in the ISMS implementation plan has been
successfully executed, and the company was ready to transition into operational mode. Skyver
assigned Colin the responsibility of determining the materiality of this change within the company.
Based on the scenario above, answer the following question:
As part of its strategic initiative to improve customer experiences, Skyver is exploring the
implementation of advanced AI solutions. Which type of AI is the company likely considering for this
purpose?
Options
Discussion
B . Based on the scenario, they're clearly using AI for customer data and recommendations, which is classic machine learning. I'd cross-check with the official guide, but that's what practice exams usually focus on for this type of question.
B . C is a common trap for these, but machine learning matches the customer recommendations context here.
Probably B since "machine learning" powers customer recommendations, while A is a broader category and C is a trap here.
Call it it's B-machine learning is what actually drives those personalized recommendations and insights. Weak AI (A) is more of a broad category, but for the use case here, ML is the specific type they're after. Disagree?
C/D? The question mentions "advanced AI" aiming for problem solving and suggestions, so my first thought is Strong AI (C) could fit. But this stuff is truly cutting-edge, so I might be off. Would double check with the official guide or some of the recent practice exams.
C or A. I see why many pick B but the question asks for the type of AI, and "weak AI" (A) is broader. Strong AI (C) still crosses my mind since it's labeled as advanced, but probably a trap.
Actually, I'd pick A here. Weak AI covers systems that are limited to specific tasks like recommendations or data analysis, which is what Skyver wants. Machine learning (B) is a method, but the question asks for the type of AI, not the technique. I might be missing something but that's how I see it.
Its B
B makes more sense. For analyzing customer data and giving product recommendations, you’re talking about ML solutions, not general AI (C) or just a basic rule-based system (A). I think some might pick A as a trap because of "weak AI" wording, but ML is the real answer here. Agree?
Probably B. Machine learning fits best here since Skyver wants the AI to analyze customer data and provide personalized recommendations. Strong AI (C) is too advanced, and Weak AI (A) is too vague in this context. Seen similar focus on ML in exam reports, but open to correction.
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