CY0-001 試験問題を無料オンラインアクセス

Which of the following describes the number of training cycles used in an AI model for threat detection?

• A.Temperature
• B.k-means clustering
• C.Tokens
• D.Epoch

Part 1: Use drop-down menu to select the most appropriate protocol or cipher for each system component.
Part 2: Use the drop-down menu to select the most appropriate technique to apply to the modified data.
An engineer is analyzing findings from a penetration test that indicate insufficient data encryption. The engineer must implement data security.

正解：

Explanation:
See Explanation

Basic Concept: This is a Performance-Based Question (PBQ) - a simulation requiring interactive protocol and cipher selection in the actual exam. It tests the candidate ' s ability to select appropriate encryption protocols for different AI system components and apply proper data security techniques for sensitive AI data.
Key Concept - Encryption by Component: For data in transit between AI components, TLS 1.3 is the current standard protocol. For API communications, HTTPS with TLS 1.3 and certificate pinning is appropriate. For database connections used by AI systems, TLS with strong cipher suites such as AES-256-GCM should be applied. For data at rest in model stores and training data repositories, AES-256 encryption is standard. For authentication tokens and keys, RSA-2048 or ECC P-256 are appropriate asymmetric options.
Key Concept - Data Techniques: For sensitive AI training data that has been modified, tokenization replaces sensitive values with non-sensitive tokens. Masking obscures sensitive fields in outputs. Hashing provides one-way verification for data integrity.
Reference: CompTIA SecAI+ Study Guide Domain 2 covers encryption requirements for AI system data security. Candidates should know standard encryption protocols (TLS 1.3, AES-256), when to apply each cipher type, and which data security techniques such as masking, tokenization, and encryption at rest are appropriate for different AI system data categories and sensitivity levels.

Faculty members at a university are concerned about potential inherent bias and inconsistency in one department ' s AI plagiarism detection service.
Which of the following principles will most likely address their concerns?

• A.Accountability
• B.Explainability
• C.Consistency
• D.Transparency

A security operations center (SOC) has a very high volume of logs and alerts. The manager proposes the implementation of a machine learning (ML) system to help with triage.
Which of the following tasks is most suitable?

• A.Summarizing the content of alerts
• B.Identifying and classifying alerts
• C.Automatically patching vulnerable systems
• D.Applying filters on specific alerts

An IT company implements an adaptable chatbot that learns from user prompts. Based on the conversation shown - where User 2 injected false information about a company acquisition that caused the chatbot to give incorrect responses to User 3 - which of the following compensating controls should an administrator implement to mitigate the issue?

• A.Guardrails
• B.Data encryption
• C.Rate-limiting application programming interfaces (APIs)
• D.Transfer learning