Final Exam: Forensics Analyst

  • 1 Video | 30m 32s
  • Includes Assessment
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Final Exam: Forensics Analyst will test your knowledge and application of the topics presented throughout the Forensics Analyst track of the Skillsoft Aspire Security Analyst to Security Architect Journey.


  • classify authentication technologies
    compare audit review, analysis, and reporting
    compare available security audit tools and outline their features and benefits
    configure certificate properties
    deduce activity of encrypted web traffic
    define common hashing algorithms
    define common symmetric encryption algorithms
    define cryptojacking
    define e-mail security basics
    define the goals of information security
    define the purpose of a CRL and how it works
    define training and awareness
    define what is considered a reasonable expectation of privacy
    describe 802.1x and MACsec
    describe a certificate and the different types of certificates
    describe approaches and techniques used when working with live or volatile data, such as confirming if encryption is in use and acquiring system memory
    describe asymmetric encryption
    describe audit review, analysis, and reporting
    describe cryptography services and associate those services with the goals of information security
    describe data breaches and theft
    describe DoS and DDoS attacks
    describe forth step in the RMF, assessing security control effectiveness
    describe guidelines and standards for defining cyber security audit strategies
    describe how network forensics can be used to protect mission critical areas of business
    describe how SSL is used
    describe how SSL is used to secure web traffic
    describe how to monitor the Linux system by reviewing system logs
    describe how to perform web application auditing and secure web application and web sites
    describe next-generation EDR
    describe ransomware
  • describe shared responsibility
    describe symmetric encryption
    describe the first step of the NIST risk management framework, categorizing risk
    describe the importance of a security management process and its common functions
    differentiate between criminal, civil, and intellectual property investigations
    differentiate between different risk responses such as accepting, avoiding, mitigating, sharing, or transferring risk
    differentiate between least frequency of occurrence and baselining
    differentiate between legal authorization forms such as consent forms and warrants
    differentiate between threats, vulnerabilities, impacts, and risks
    distinguish physical security controls
    identify beaconing activity
    list common software vulnerabilities such as buffer overflow and injection flaws
    list keys to presenting risk to shareholders, such as soliciting stakeholder input
    protect data in storage
    provide an overview of digital forensics
    provide an overview of microservices and APIs and highlight security concerns associated to each
    provide an overview of population analysis
    recognize best practices and considerations when working with digital evidence
    recognize concepts and applications of network behavior anomaly detection
    recognize different anomalies or outliers, such as configuration faults or a malicious presence
    recognize how viruses and other malware work
    recognize legalities surrounding digital forensics investigative techniques
    recognize limitations of traditional approaches to anomaly detection, such as chasing false positives
    recognize possible conflicts of interest and how to avoid them
    recognize steps and techniques to analyze risk
    recognize steps to properly test software to ensure it is secure
    recognize the benefits of an event focused risk management approach
    recognize the benefits of using auto-periodicity to aid in identifying anomalies
    recognize the different standards for analyzing digital evidence
    recognize the different types of forensics including computer, mobile, network, vehicle, and IoT


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    Forensics Analyst


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