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| Section | Objectives |
|---|---|
| Cloud Infrastructure Security | - Virtualization security - Container and orchestration security (Docker, Kubernetes concepts) - Secure cloud network architecture |
| Cloud Security Fundamentals | - Shared responsibility model - Cloud deployment models (public, private, hybrid, multi-cloud) - Cloud computing concepts and service models (IaaS, PaaS, SaaS) |
| Cloud Application Security | - Secure cloud application development - API security in cloud environments - DevSecOps practices |
| Cloud Security Operations and Compliance | - Incident response in cloud environments - Regulatory compliance (GDPR, ISO 27001, etc.) - Cloud monitoring and logging |
| Identity and Access Management (IAM) | - Privileged access management - Federation and SSO in cloud environments - Role-based access control (RBAC) |
| Cloud Data Security | - Key management practices - Data loss prevention (DLP) in cloud - Data encryption at rest and in transit |
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NEW QUESTION # 32
An organization using Google Cloud Platform wants to enforce organization-wide constraints, such as preventing public IP addresses from being assigned to VM instances, across all projects.
Which GCP feature should be used?
Answer: C
Explanation:
The Organization Policy Service in GCP allows administrators to set constraints centrally across the entire organization, folders, or projects, such as restricting the assignment of public IP addresses to VM instances.
NEW QUESTION # 33
Trevor Holmes works as a cloud security engineer in a multinational company. Approximately 7 years ago, his organization migrated its workload and data to the AWS cloud environment. Trevor would like to monitor malicious activities in the cloud environment and protect his organization's AWS account, data, and workloads from unauthorized access. Which of the following Amazon detection services uses anomaly detection, machine learning, and integrated threat intelligence to identify and classify threats and provide actionable insights that include the affected resources, attacker IP address, and geolocation?
Answer: D
Explanation:
Amazon GuardDuty: It is a threat detection service that continuously monitors for malicious activity and unauthorized behavior across your AWS accounts and workloads1.
Anomaly Detection: GuardDuty uses anomaly detection to monitor for unusual behavior that may indicate a threat1.
Machine Learning: It employs machine learning to better identify threat patterns and reduce false positives1.
Integrated Threat Intelligence: The service utilizes threat intelligence feeds from AWS and leading third parties to identify known threats1.
Actionable Insights: GuardDuty provides detailed findings that include information about the nature of the threat, the affected resources, the attacker's IP address, and geolocation1.
Protection Scope: It protects against a wide range of threats, including compromised instances, reconnaissance by attackers, account compromise risks, and instance compromise risks1.
Reference:
AWS's official documentation on Amazon GuardDuty1.
NEW QUESTION # 34
Aidan McGraw is a cloud security engineer in a multinational company. In 2018, his organization deployed its workloads and data in a cloud environment. Aidan was given the responsibility of securing high-valued information that needs to be shared outside the organization from unauthorized intruders and hackers. He would like to protect sensitive information about his organization, which will be shared outside the organization, from attackers by encrypting the data and including user permissions inside the file containing this information. Which technology satisfies Aidan's requirements?
Answer: C
Explanation:
Aidan McGraw's requirements to protect sensitive information shared outside the organization can be satisfied by Information Rights Management (IRM).
IRM Overview: IRM is a form of IT security technology used to protect documents containing sensitive information from unauthorized access. It does this by encrypting the data and embedding user permissions directly into the file1.
Encryption and Permissions: IRM allows for the encryption of the actual data within the file and includes access permissions that dictate who can view, edit, print, forward, or take other actions with the data. These permissions are enforced regardless of where the file is located, making it ideal for sharing outside the organization1.
Protection Against Attacks: By using IRM, Aidan ensures that even if attackers were to gain access to the file, they would not be able to decrypt the information without the appropriate permissions. This protects against unauthorized intruders and hackers1.
Reference:
Strategies and Best Practices for Protecting Sensitive Data1.
Data security and encryption best practices - Microsoft Azure2.
What Is Cryptography? | IBM3.
NEW QUESTION # 35
Jerry Mulligan is employed by an IT company as a cloud security engineer. In 2014, his organization migrated all applications and data from on-premises to a cloud environment. Jerry would like to perform penetration testing to evaluate the security across virtual machines, installed apps, and OSes in the cloud environment, including conducting various security assessment steps against risks specific to the cloud that could expose them to serious threats.
Which of the following cloud computing service models does not allow cloud penetration testing (CPEN) to Jerry?
Answer: B
Explanation:
In the Software as a Service (SaaS) model, the cloud service provider manages the entire application, including security, infrastructure, and maintenance. Because the user does not have control over the underlying infrastructure or the application itself, penetration testing is generally not permitted on SaaS applications. In contrast, with IaaS and PaaS, users have more control over the environment and can typically perform penetration testing, provided they follow the provider's policies and guidelines.
NEW QUESTION # 36
A security incident has occurred within an organization's AWS environment. A cloud forensic investigation procedure is initiated for the acquisition of forensic evidence from the compromised EC2 instances. However, it is essential to abide by the data privacy laws while provisioning any forensic instance and sending it for analysis. What can the organization do initially to avoid the legal implications of moving data between two AWS regions for analysis?
Answer: A
Explanation:
When dealing with a security incident in an AWS environment, it's crucial to handle forensic evidence in a way that complies with data privacy laws. The initial step to avoid legal implications when moving data between AWS regions for analysis is to create an evidence volume from the snapshot of the compromised EC2 instances.
Snapshot Creation: Take a snapshot of the compromised EC2 instance's EBS volume. This snapshot captures the state of the volume at a point in time and serves as forensic evidence.
Evidence Volume Creation: Create a new EBS volume from the snapshot within the same AWS region to avoid cross-regional data transfer issues.
Forensic Workstation Provisioning: Provision a forensic workstation within the same region where the evidence volume is located.
Evidence Volume Attachment: Attach the newly created evidence volume to the forensic workstation for analysis.
Reference:
Creating an evidence volume from a snapshot is a recommended practice in AWS forensics. It ensures that the integrity of the data is maintained and that the evidence is handled in compliance with legal requirements12. This approach allows for the preservation, acquisition, and analysis of data without violating data privacy laws that may apply when transferring data across regions12.
NEW QUESTION # 37
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