312-85 Exam Dumps : Certified Threat Intelligence Analyst (CTIA)

When attackers or analysts search job postings on online job portals, they often uncover technical details inadvertently shared by organizations.

Job listings frequently mention:

Hardware and software used (e.g., “experience with Cisco firewalls, Windows Server 2019”).

Network details and tools (e.g., “knowledge of LAN/WAN, AWS, Azure”).

Security technologies (e.g., “SIEM tools like Splunk or QRadar”).

This information can help analysts identify the technological footprint of the company, which is valuable during threat profiling or reconnaissance.

Why the Other Options Are Incorrect:

B. Top-level domains and subdomains: Obtained through DNS enumeration tools, not job sites.

C. Open ports and services: Found through active scanning tools like Nmap, not via job postings.

Conclusion:

Flora can obtain hardware, software, and network-related information from online job listings.

Final Answer: A. Hardware and software information, network-related information, and technologies used by the company

Explanation Reference (Based on CTIA Study Concepts):

CTIA recognizes online job sites as OSINT sources that can reveal technical environment details about organizations.

By assessing the Threat Intelligence (TI) program through a comparison of project results with the original objectives, and by ensuring that all expected deliverables have been produced to an acceptable quality level, Joe is conducting a gap analysis. Gap analysis involves identifying the difference between the current state and the desired state or objectives, in this case, the outcomes of the TI program versus its intended goals as outlined in the project charter. This process allows for the assessment of what was successful, what fell short, and where improvements can be made, thereby evaluating the program's overall effectiveness and identifying areas for future enhancement.

Using conditional probability to uncover relationships between data variables corresponds to the Data Correlation stage in statistical analysis.

Data Correlation involves identifying how different data attributes relate to one another. Analysts use mathematical and statistical methods, such as probability distributions, correlation coefficients, and conditional probability, to determine whether one event or variable influences another.

This step helps analysts detect dependencies, trends, and anomalies — essential for predicting threat behavior and developing effective response strategies.

Why the Other Options Are Incorrect:

Data classification: Involves categorizing data into defined groups or classes.

Data preparation: Refers to cleaning, formatting, and structuring data before analysis.

Data validation: Ensures that data is accurate, complete, and free of errors.

Conclusion:

By applying conditional probability, Jamie is performing Data Correlation, identifying statistical relationships among data points.

Final Answer: A. Data correlation

Explanation Reference (Based on CTIA Study Concepts):

According to CTIA’s “Statistical Data Analysis in Threat Intelligence,” data correlation uses probability and relationship analysis to derive insights from security data.