Web Affinity Technology Soc Analyst 1 Interview Questions and Answers

Q1. Data loss prevention
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Q2. Scenario based questions
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Q1. Explain mitre framework
Ans. 
The MITRE ATT&CK framework is a knowledge base of adversary tactics and techniques based on real-world observations.
• Developed by MITRE Corporation

• Provides a comprehensive list of tactics and techniques used by adversaries during cyber attacks

• Used by cybersecurity professionals to improve threat detection and response

• Helps organizations understand and defend against common attack patterns

• Example: Credential Dumping is a
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Q2. Explain recent breach
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Company X experienced a data breach due to a phishing attack on employee email accounts.
• Phishing attack targeted employee email accounts

• Sensitive data such as customer information or financial records may have been compromised

• Company X is working on improving cybersecurity measures to prevent future breaches
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Q1. Explain the QRadar SIEM architecture
Ans. 
QRadar SIEM architecture is a distributed system with components like Console, Event Processors, Flow Processors, and Data Nodes.
• QRadar SIEM architecture is based on a distributed model

• Components include Console, Event Processors, Flow Processors, and Data Nodes

• Console provides the user interface for managing and monitoring security events

• Event Processors collect, normalize, and correlate events from various sources

• Flo...read more
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In the aptitude round there were various sections such as quants, verbal and technical questions based on networking and cloud platforms and some pseudo codes . No coding questions were asked .

It was structured group discussion with one panel member and a case study was provided to us .

Q1. Tell me about yourself .
Ans. 
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.

• I am proficient in using statistical software such as R and Python to analyze data and generate insights.

• I have experience working with cross-functional teams to develop and implement data-driven strategie...read more
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Q2. Tell me about the projects that you have made .
Ans. 
I have worked on various projects including financial analysis, market research, and data visualization.
• Developed financial models to analyze company performance

• Conducted market research to identify growth opportunities

• Created interactive dashboards for data visualization

• Collaborated with cross-functional teams to implement project recommendations
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Q3. Puzzles questions
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Q4. Coding question
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Q5. Machine learning question
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Q1. Explain in detail Previous job experience
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Q1. What is content moderation
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Content moderation is the process of monitoring and filtering user-generated content on online platforms to ensure it meets community guidelines.
• Monitoring and reviewing user-generated content

• Filtering out inappropriate or harmful content

• Enforcing community guidelines and policies

• Removing spam, hate speech, and other violations

• Implementing automated tools and human moderators

• Examples: Facebook moderating posts, YouTube
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Q2. Policy related questions
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It consists of few questions on logical thinking and aptitude

Q1. State all Types of fraud we have
Ans. 
Types of fraud include identity theft, credit card fraud, insurance fraud, and investment fraud.
• Identity theft

• Credit card fraud

• Insurance fraud

• Investment fraud
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Q2. Information about check fraud and account takeover
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Q1. HOW do you prepare SAR
Ans. 
Prepare SAR by collecting relevant data, analyzing information, and documenting findings.
• Collect all relevant data related to the suspicious activity report (SAR)

• Analyze the information to identify any patterns or red flags

• Document your findings in a clear and concise manner

• Ensure compliance with regulatory requirements and guidelines

• Submit the SAR to the appropriate authorities or stakeholders
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Q2. Which tools you use in fraud detection
Ans. 
I use a combination of statistical analysis, machine learning algorithms, and data visualization tools for fraud detection.
• Statistical analysis tools like SAS or R

• Machine learning algorithms like logistic regression or random forests

• Data visualization tools like Tableau or Power BI
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Q1. Tell me about yourself
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Q2. Why you choose this company and past experience
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Q1. Day to day activities
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Q2. How did you manage a conflict arised in team
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