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CompTIA CAS-005 Exam Syllabus Topics:

Topic
Details

Topic 1

Security Operations: This domain is designed for CompTIA security architects and covers analyzing data to support monitoring and response activities, as well as assessing vulnerabilities and recommending solutions to reduce attack surfaces. Candidates will apply threat-hunting techniques and utilize threat intelligence concepts to enhance operational security.

Topic 2

Security Engineering: This section measures the skills of CompTIA security architects that involve troubleshooting common issues related to identity and access management (IAM) components within an enterprise environment. Candidates will analyze requirements to enhance endpoint and server security while implementing hardware security technologies. This domain also emphasizes the importance of advanced cryptographic concepts in securing systems.

Topic 3

Governance, Risk, and Compliance: This section of the exam measures the skills of CompTIA security architects that cover the implementation of governance components based on organizational security requirements, including developing policies, procedures, and standards. Candidates will learn about managing security programs, including awareness training on phishing and social engineering.

Topic 4

Security Architecture: This domain focuses on analyzing requirements to design resilient systems, including the configuration of firewalls and intrusion detection systems.

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CompTIA SecurityX Certification Exam Sample Questions (Q73-Q78):

NEW QUESTION # 73
A security professional is investigating a trend in vulnerability findings for newly deployed cloud systems Given the following output:

Which of the following actions would address the root cause of this issue?

A. Disabling unused/unneeded ports on all servers
B. Recompiling the affected programs with the most current patches
C. Automating the patching system to update base Images
D. Deploying a WAF with virtual patching upstream of the affected systems

Answer: C

Explanation:
The output shows that multiple systems have outdated or vulnerable software versions (OpenSSL 1.01 and Java 11 runtime). This suggests that the systems are not being patched regularly or effectively.
* A. Automating the patching system to update base images: Automating the patching process ensures that the latest security updates and patches are applied to all systems, including newly deployed ones.
This addresses the root cause by ensuring that base images used for deployment are always up-to-date with the latest security patches.
* B. Recompiling the affected programs with the most current patches: While this can fix the immediate vulnerabilities, it does not address the root cause of the problem, which is the lack of regular updates.
* C. Disabling unused/unneeded ports on all servers: This improves security but does not address the specific issue of outdated software.
* D. Deploying a WAF with virtual patching upstream of the affected systems: This can provide a temporary shield but does not resolve the underlying issue of outdated software.
Automating the patching system to update base images ensures that all deployed systems are using the latest, most secure versions of software, addressing the root cause of the vulnerability trend.
References:
* CompTIA Security+ Study Guide
* NIST SP 800-40 Rev. 3, "Guide to Enterprise Patch Management Technologies"
* CIS Controls, "Control 7: Continuous Vulnerability Management"

NEW QUESTION # 74
A software development team requires valid data for internal tests. Company regulations, however do not allow the use of this data in cleartext. Which of the following solutions best meet these requirements?

A. Implementing data obfuscation
B. Deploying tokenization
C. Configuring data hashing
D. Replacing data with null record

Answer: B

Explanation:
Tokenization replaces sensitive data elements with non-sensitive equivalents, called tokens, that can be used within the internal tests. The original data is stored securely and can be retrieved if necessary. This approach allows the software development team to work with data that appears realistic and valid without exposing the actual sensitive information.
Configuring data hashing (Option A) is not suitable for test data as it transforms the data into a fixed-length value that is not usable in the same way as the original data. Replacing data with null records (Option C) is not useful as it does not provide valid data for testing. Data obfuscation (Option D) could be an alternative but might not meet the regulatory requirements as effectively as tokenization.
References:
* CompTIA Security+ Study Guide
* NIST SP 800-57 Part 1 Rev. 5, "Recommendation for Key Management"
* PCI DSS Tokenization Guidelines

NEW QUESTION # 75
A security engineer is implementing a code signing requirement for all code developed by the organization. Currently, the PKI only generates website certificates. Which of the following steps should the engineer perform first?

A. Add a new template on the internal CA with the correct attributes.
B. Generate a wildcard certificate for the internal domain.
C. Implement a SAN for all internal web applications.
D. Recalculate a public/private key pair for the root CA.

Answer: A

Explanation:
To enable code signing with an existing PKI, the first step is to configure the Certificate Authority (CA) to issue code signing certificates. Adding a new template with attributes specific to code signing (e.g., key usage for signing) allows the CA to support this requirement without disrupting existing operations.
Option A: Correct-templates define certificate types; this is the foundational step.
Option B: Wildcard certificates are for domains, not code signing.
Option C: Recalculating root CA keys is unnecessary and risky unless compromised.
Option D: SAN (Subject Alternative Name) is for multi-domain certificates, irrelevant here.

NEW QUESTION # 76
Which of the following AI concerns is most adequately addressed by input sanitation?

A. Non-explainable model
B. Prompt Injection
C. Model inversion
D. Data poisoning

Answer: B

Explanation:
Input sanitation is a critical process in cybersecurity that involves validating and cleaning data provided by users to prevent malicious inputs from causing harm. In the context of AI concerns:
A: Model inversion involves an attacker inferring sensitive data from model outputs, typically requiring sophisticated methods beyond just manipulating input data.
B: Prompt Injection is a form of attack where an adversary provides malicious input to manipulate the behavior of AI models, particularly those dealing with natural language processing (NLP). Input sanitation directly addresses this by ensuring that inputs are cleaned and validated to remove potentially harmful commands or instructions that could alter the AI's behavior.
C: Data poisoning involves injecting malicious data into the training set to compromise the model. While input sanitation can help by filtering out bad data, data poisoning is typically addressed through robust data validation and monitoring during the model training phase, rather than real-time input sanitation.
D: Non-explainable model refers to the lack of transparency in how AI models make decisions. This concern is not addressed by input sanitation, as it relates more to model design and interpretability techniques.
Input sanitation is most relevant and effective for preventing Prompt Injection attacks, where the integrity of user inputs directly impacts the performance and security of AI models.
References:
CompTIA Security+ Study Guide
"Security of Machine Learning" by Battista Biggio, Blaine Nelson, and Pavel Laskov OWASP (Open Web Application Security Project) guidelines on input validation and injection attacks Top of Form Bottom of Form

NEW QUESTION # 77
A cloud engineer wants to configure mail security protocols to support email authenticity and enable the flow of email security information to a third-party platform for further analysis. Which of the following must be configured to achieve these requirements? (Select two).

A. SPF
B. TLS
C. DKIM
D. DNSSEC
E. MX
F. DMARC

Answer: C,F

Explanation:
To support email authenticity and enable analysis by a third-party platform, the protocols must verify the sender's identity and provide metadata for inspection. According to the CompTIA SecurityX CAS-005 study guide (Domain 3: Cybersecurity Technology, 3.2):
DMARC (Domain-based Message Authentication, Reporting, and Conformance): DMARC builds on SPF and DKIM to enforce policies for email authenticity and provides reporting mechanisms to share authentication results with third parties for analysis.
DKIM (DomainKeys Identified Mail): DKIM adds a cryptographic signature to emails, allowing recipients to verify the sender's domain and ensure the email's integrity.
These two protocols are essential for authenticity and reporting.
Option C (TLS): TLS ensures encryption during transmission but does not address authenticity or reporting.
Option D (SPF): SPF verifies sender IP addresses but lacks reporting capabilities without DMARC.
Option E (DNSSEC): DNSSEC secures DNS queries but is not specific to email authenticity.
Option F (MX): MX records define mail servers, not authenticity or reporting.
Reference:
CompTIA SecurityX CAS-005 Official Study Guide, Domain 3: Cybersecurity Technology, Section 3.2: "Configure email security protocols, including DMARC and DKIM." CAS-005 Exam Objectives, 3.2: "Implement technologies for email security and authenticity."

NEW QUESTION # 78
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