最短ルート CY0-001 オンライン版でスキマ時間を有効活用この競争が激しい社会では、It-Passportsはたくさんの受験生の大好評を博するのは我々はいつも受験生の立場で試験ソフトを開発するからです。例えば、我々のよく発売されているCompTIAのCY0-001試験ソフトは大量の試験問題への研究によって作れることです。試験に失敗したら全額で返金するという承諾があるとは言え、弊社の商品を利用したほとんどの受験生は試験に合格しました。 CompTIA SecAI+ Certification Exam 認定 CY0-001 試験問題 (Q97-Q102):質問 # 97
A financial organization implements a new AI-based fraud detection system to flag suspicious transactions. A security analyst discovers that it occasionally blocks legitimate transactions.
Which of the following is the best recommendation?
A. Encrypting all the data processed by AI and applying further access controls
B. Retaining the model with more data and recent transaction patterns
C. Rolling back the model and using a traditional fraud detection system
D. Implementing AI token usage and rate limits
正解：B
解説：
False positives occur when the AI model lacks sufficient or representative training data.
Retraining the model with more diverse and recent transaction patterns improves accuracy, reducing the chance of legitimate transactions being incorrectly flagged.
質問 # 98
A group of security engineers is developing a security incident and event management (SIEM) system that will:
- Be able to ingest data from multiple structured and unstructured
sources.
- Have a chatbot integrated with a large language model (LLM) that the
security analyst can interact with.
- Provide insights from the SIEM alert data.
Which of the following techniques should the security engineers consider before collecting the data from the respective sources?
A. Cleansing
B. Balancing
C. Verification
D. Vector storage
正解：A
解説：
Data cleansing ensures that structured and unstructured data ingested into the SIEM is accurate, consistent, and free from errors or irrelevant information. This step is critical before integrating with an LLM chatbot, as clean data improves the reliability and quality of insights generated.
質問 # 99
A user interface engineer adds new graphics to the latest release of an AI-integrated application.
During the update, the engineer accidentally causes the model to retain on unverified data. After the update, the model begins to return many errors. Which of the following is the best way to mitigate future errors?
A. Role-based access control
B. Generative adversarial network
C. Web application firewall
D. Model development life cycle
正解：D
解説：
Following a secure and structured model development life cycle (MDLC) ensures controls such as data validation, verification, and testing are in place. This prevents issues like retraining on unverified data and reduces the likelihood of future model errors.
質問 # 100
An organization develops a chatbot with the following requirements:
- Does not provide harmful or explicit responses
- Must use clean and professional language
- Ensures that responses are accurate
Which of the following should the organization conduct after the chatbot is fully developed but before a customer-facing deployment?
A. Regression modeling and minimization
B. Guardrail testing and validation
C. Model auditing and evaluation
D. Data labeling and classification
正解：B
解説：
Guardrail testing and validation ensure the chatbot adheres to safety, language, and accuracy requirements before deployment. This step verifies the model will not generate harmful, explicit, or unprofessional responses in a customer-facing environment.
質問 # 101
A customer-facing, AI-powered chatbot has been jailbroken through prompt injections. As a result, the AI model is offering a 99% discount on the purchase of a new vehicle. Which of the following should be implemented to enhance the model's robustness against such attacks?
A. Bias filtering
B. System prompt
C. Guardrails
D. Log monitoring
正解：C
解説：
Guardrails enforce strict rules on what the AI model can and cannot do, preventing malicious prompt injections from overriding intended behavior. In this case, guardrails would stop the chatbot from generating unauthorized offers such as extreme discounts.