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Prepare for the Eccouncil Certified Threat Intelligence Analyst exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Eccouncil 312-85 exam and achieve success.
The questions for 312-85 were last updated on Jan 18, 2025.
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In which of the following storage architecture is the data stored in a localized system, server, or storage hardware and capable of storing a limited amount of data in its database and locally available for data usage?
Centralized storage architecture refers to a system where data is stored in a localized system, server, or storage hardware. This type of storage is capable of holding a limited amount of data in its database and is locally available for data usage. Centralized storage is commonly used in smaller organizations or specific departments within larger organizations where the volume of data is manageable and does not require the scalability offered by distributed or cloud storage solutions. Centralized storage systems simplify data management and access but might present challenges in terms of scalability and data recovery. Reference:
'Data Storage Solutions for Your Business: Centralized vs. Decentralized,' Techopedia
'The Basics of Centralized Data Storage,' by Margaret Rouse, SearchStorage
Tim is working as an analyst in an ABC organization. His organization had been facing many challenges in converting the raw threat intelligence data into meaningful contextual information. After inspection, he found that it was due to noise obtained from misrepresentation of data from huge data collections. Hence, it is important to clean the data before performing data analysis using techniques such as data reduction. He needs to choose an appropriate threat intelligence framework that automatically performs data collection, filtering, and analysis for his organization.
Which of the following threat intelligence frameworks should he choose to perform such task?
Threat Grid is a threat intelligence and analysis platform that offers advanced capabilities for automatic data collection, filtering, and analysis. It is designed to help organizations convert raw threat data into meaningful, actionable intelligence. By employing advanced analytics and machine learning, Threat Grid can reduce noise from large data sets, helping to eliminate misrepresentations and enhance the quality of the threat intelligence. This makes it an ideal choice for Tim, who is looking to address the challenges of converting raw data into contextual information and managing the noise from massive data collections. Reference:
'Cisco Threat Grid: Unify Your Threat Defense,' Cisco
'Integrating and Automating Threat Intelligence,' by Threat Grid
Walter and Sons Company has faced major cyber attacks and lost confidential dat
a. The company has decided to concentrate more on the security rather than other resources. Therefore, they hired Alice, a threat analyst, to perform data analysis. Alice was asked to perform qualitative data analysis to extract useful information from collected bulk data.
Which of the following techniques will help Alice to perform qualitative data analysis?
For Alice to perform qualitative data analysis, techniques such as brainstorming, interviewing, SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis, and the Delphi technique are suitable. Unlike quantitative analysis, which involves numerical calculations and statistical modeling, qualitative analysis focuses on understanding patterns, themes, and narratives within the data. These techniques enable the analyst to explore the data's deeper meanings and insights, which are essential for strategic decision-making and developing a nuanced understanding of cybersecurity threats and vulnerabilities. Reference:
'Qualitative Research Methods in Cybersecurity,' SANS Institute Reading Room
'The Delphi Method for Cybersecurity Risk Assessment,' by Cybersecurity and Infrastructure Security Agency (CISA)
In which of the following forms of bulk data collection are large amounts of data first collected from multiple sources in multiple formats and then processed to achieve threat intelligence?
In the context of bulk data collection for threat intelligence, data is often initially collected in an unstructured form from multiple sources and in various formats. This unstructured data includes information from blogs, news articles, threat reports, social media, and other sources that do not follow a specific structure or format. The subsequent processing of this data involves organizing, structuring, and analyzing it to extract actionable threat intelligence. This phase is crucial for turning vast amounts of disparate data into coherent, useful insights for cybersecurity purposes. Reference:
'The Role of Unstructured Data in Cyber Threat Intelligence,' by Jason Trost, Anomali
'Turning Unstructured Data into Cyber Threat Intelligence,' by Giorgio Mosca, IEEE Xplore
An organization suffered many major attacks and lost critical information, such as employee records, and financial information. Therefore, the management decides to hire a threat analyst to extract the strategic threat intelligence that provides high-level information regarding current cyber-security posture, threats, details on the financial impact of various cyber-activities, and so on.
Which of the following sources will help the analyst to collect the required intelligence?
For gathering strategic threat intelligence that provides a high-level overview of the current cybersecurity posture, potential financial impacts of cyber activities, and overarching threats, sources such as Open Source Intelligence (OSINT), Cyber Threat Intelligence (CTI) vendors, and Information Sharing and Analysis Organizations (ISAOs)/Information Sharing and Analysis Centers (ISACs) are invaluable. OSINT involves collecting data from publicly available sources, CTI vendors specialize in providing detailed threat intelligence services, and ISAOs/ISACs facilitate the sharing of threat data within specific industries or communities. These sources can provide broad insights into threat landscapes, helping organizations understand how to align their cybersecurity strategies with current trends and threats. Reference:
'Cyber Threat Intelligence: Sources and Methods,' by Max Kilger, Ph.D., SANS Institute Reading Room
'Open Source Intelligence (OSINT): An Introduction to the Basic Concepts and the Potential Benefits for Information Security,' by Kevin Cardwell, IEEE Xplore
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