2026 CompTIA CY0-001: CompTIA SecAI+ Certification Exam–Trustable Exam Reviews

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CompTIA SecAI+ Certification Exam Sample Questions (Q89-Q94):

NEW QUESTION # 89
A security architect performs threat modeling of an AI system. The architect needs to determine which attacks can be performed against the system.
Which of the following actions should the architect take next?

Answer: A

Explanation:
MITRE ATLAS is specifically designed to catalog adversarial TTPs targeting AI systems. By analyzing ATLAS, the architect can determine which types of attacks are possible against the AI system, making it the most appropriate resource for threat modeling in this context.


NEW QUESTION # 90
A company wants to detect abnormal insider activity based on historical logs. Which technology is BEST?

Answer: B

Explanation:
User and Entity Behavior Analytics detects deviations from normal patterns.


NEW QUESTION # 91
User experience is declining since the launch of a large language model (LLM) in internal networks.
Which of the following should be the highest priority for the prompt engineers?

Answer: A

Explanation:
Basic Concept: Prompt engineers are responsible for designing and refining the prompts and instructions that guide an LLM ' s behavior. When user experience is declining after an LLM launch, this signals that the model ' s outputs are not meeting quality standards. CompTIA SecAI+ addresses prompt engineering quality management under securing and optimizing AI systems.
Why C is Correct: Quality control should be the highest priority when user experience is declining. Prompt engineers must systematically evaluate model responses against quality benchmarks, identify failure patterns causing poor user experience, and iteratively refine prompts to produce accurate, relevant, and appropriately formatted responses. Quality control encompasses testing, evaluation, and continuous improvement of prompt performance.
Why A is Wrong: Customer success management is a business function focused on customer relationship management and retention. While related to user experience outcomes, it is not a technical priority that prompt engineers can directly address through their core competency of prompt design and refinement.
Why B is Wrong: Sales life cycle management is a business process for managing customer acquisition and revenue. It is entirely outside the scope of prompt engineering activities and does not address declining LLM user experience.
Why D is Wrong: Business objectives define what the organization aims to achieve with the LLM deployment. These are set at the strategic level and inform the direction for prompt engineering. They are inputs to the quality control process rather than the priority action prompt engineers should take when experience is declining.


NEW QUESTION # 92
A cybersecurity analyst must use pattern recognition on a data set containing unstructured data.
Which of the following models is the best for this task?

Answer: A

Explanation:
Basic Concept: Different ML model architectures are optimized for different data types and tasks.
Unstructured data such as images, raw network packet captures, and visual content requires models capable of automatically extracting hierarchical spatial features. CompTIA SecAI+ covers ML model selection for security tasks under basic AI concepts.
Why B is Correct: Convolutional Neural Networks (CNNs) are specifically designed for pattern recognition in unstructured data, particularly image and grid-structured data. CNNs use convolutional layers to automatically extract local and hierarchical features without requiring manual feature engineering. They excel at recognizing patterns in raw, unstructured inputs, making them the optimal choice for pattern recognition on unstructured datasets in cybersecurity contexts such as image-based malware analysis or visual traffic pattern recognition.
Why A is Wrong: Long Short-Term Memory (LSTM) networks are recurrent neural networks optimized for sequential and time-series data such as network traffic flows over time or log sequences. While they handle unstructured sequential data, they are not specifically designed for spatial pattern recognition in general unstructured data.
Why C is Wrong: Decision trees work on structured, tabular data with defined features. They require feature extraction and engineering before processing unstructured data and are not designed for raw pattern recognition in unstructured inputs.
Why D is Wrong: Logistic regression is a linear classification algorithm that requires structured, numerical input features. It cannot directly process unstructured data and requires extensive preprocessing and feature extraction, making it unsuitable for pattern recognition on raw unstructured datasets.


NEW QUESTION # 93
Which tool prevents unauthorized system file modifications?

Answer: D

Explanation:
FIM detects changes to critical system files.


NEW QUESTION # 94
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