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posted on 8 Oct 2024
I applied via Campus Placement and was interviewed before Oct 2023. There were 3 interview rounds.
Duration was 40 mins.
In 5 years, I see myself as a senior cybersecurity analyst leading a team of professionals in implementing cutting-edge security measures.
Advancing to a senior cybersecurity analyst role
Leading a team in implementing advanced security measures
Continuing to stay updated on the latest cybersecurity trends and technologies
I applied via Company Website and was interviewed in Dec 2021. There were 8 interview rounds.
I'm attend the interview tomorrow
I applied via Naukri.com and was interviewed in Aug 2022. There was 1 interview round.
Cyber attacks in network are a major threat to organizations and can cause significant damage.
Cyber attacks can come in various forms such as malware, phishing, ransomware, and DDoS attacks.
Network security measures such as firewalls, intrusion detection systems, and antivirus software can help prevent cyber attacks.
Regular security audits and employee training can also help mitigate the risk of cyber attacks.
In the ev...
Application layers in cyber security refer to the different levels of software and protocols that make up an application.
Application layer is the topmost layer in the OSI model
It includes protocols like HTTP, SMTP, FTP, etc.
Security measures at this layer include firewalls, intrusion detection systems, and web application firewalls
Vulnerabilities at this layer include SQL injection, cross-site scripting, and session hi
I applied via Naukri.com and was interviewed in Jun 2024. There was 1 interview round.
Mitre Attack technique is a framework for categorizing cyber threats based on tactics, techniques, and procedures used by attackers.
Mitre Attack technique provides a standardized way to categorize and analyze cyber threats.
It helps organizations understand and defend against common attack patterns.
Examples of Mitre Attack techniques include spear phishing, credential dumping, and command and control.
I applied via Company Website and was interviewed before Jun 2021. There were 4 interview rounds.
Autocorrelation is the correlation of a signal with a delayed copy of itself.
Autocorrelation is used to identify patterns in time series data.
It is a measure of how similar a signal is to a delayed version of itself.
Autocorrelation can be positive, negative, or zero.
It is commonly used in signal processing, finance, and econometrics.
Autocorrelation can be visualized using a correlogram.
Heteroscedasticity is a statistical term that refers to the unequal variance of a variable across different levels of another variable.
It is a violation of the assumption of homoscedasticity in regression analysis.
It can lead to biased and inefficient estimates of regression coefficients.
It can be detected through residual plots or statistical tests such as the Breusch-Pagan test.
Examples include income and expenditure...
Data analysis is affected by various factors that can influence the accuracy and reliability of the results.
Data quality: The accuracy, completeness, and consistency of the data can impact the analysis.
Data sources: The reliability and relevance of the data sources used for analysis can affect the outcomes.
Data preprocessing: The way data is cleaned, transformed, and prepared for analysis can impact the results.
Data in...
I applied via Walk-in and was interviewed before Feb 2020. There were 4 interview rounds.
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