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| Section | Weight | Objectives |
|---|---|---|
| Application Security in Cloud | 12% | - API security and authentication mechanisms - Secure software development lifecycle (SSDLC) in cloud - Application security controls for major cloud platforms - Cloud application architecture and threats |
| Standards, Policies, and Legal Issues in Cloud | 8% | - Cloud service level agreements (SLAs) and liability - Industry-specific regulations: HIPAA, PCI DSS, GDPR - Data sovereignty and legal jurisdiction - International standards: ISO 27017, ISO 27018, NIST |
| Introduction to Cloud Security | 8% | - Cloud computing concepts and service models - Cloud deployment models and security considerations - Cloud security principles and challenges |
| Data Security in Cloud | 12% | - Encryption techniques for data at rest and in transit - Key management and cloud storage security - Data privacy and compliance requirements - Data classification and protection strategies |
| Security Operations in Cloud | 8% | - Threat detection and response methodologies - Security information and event management (SIEM) in cloud - Vulnerability management and patch management - Cloud security monitoring and logging |
| Platform and Infrastructure Security in Cloud | 12% | - Virtualization and container security - Network security in cloud environments - Security controls for AWS, Azure, GCP infrastructure - Cloud architecture and components security |
| Incident Response in Cloud | 8% | - Preparation, detection, and containment strategies - Cloud-specific incident handling challenges - Eradication and recovery procedures - Incident response lifecycle in cloud |
| Forensic Investigation in Cloud | 8% | - Analysis of cloud logs and artifacts - Evidence collection and preservation techniques - Legal and compliance aspects of cloud forensics - Cloud forensics principles and challenges |
| Governance, Risk Management, and Compliance (GRC) | 8% | - Cloud governance frameworks and policies - Compliance with regulations and standards - Audit and assurance processes - Risk assessment and management methodologies |
| Cloud Penetration Testing | 8% | - Exploiting cloud-specific vulnerabilities - Testing IaaS, PaaS, and SaaS environments - Penetration testing frameworks and methodologies - Reporting and remediation of findings |
| Business Continuity and Disaster Recovery | 8% | - Backup and recovery strategies - BC/DR planning for cloud environments - Disaster recovery testing and maintenance - High availability and fault tolerance design |
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質問 # 167
Martin Sheen is a senior cloud security engineer in SecGlob Cloud Pvt. Ltd. Since 2012, his organization has been using AWS cloud-based services. Using an intrusion detection system and antivirus software, Martin noticed that an attacker is trying to breach the security of his organization. Therefore, Martin would like to identify and protect the sensitive data of his organization. He requires a fully managed data security service that supports S3 storage and provides an inventory of publicly shared buckets, unencrypted buckets, and the buckets shared with AWS accounts outside his organization. Which of the following Amazon services fulfills Martin's requirement?
正解：C
解説：
Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data in AWS. It is specifically designed to support Amazon S3 storage and provides an inventory of S3 buckets, helping organizations like SecGlob Cloud Pvt. Ltd. to identify and protect their sensitive data.
Here's how Amazon Macie fulfills Martin's requirements:
Sensitive Data Identification: Macie automatically and continuously discovers sensitive data, such as personally identifiable information (PII), in S3 buckets.
Inventory and Monitoring: It provides an inventory of S3 buckets, detailing which are publicly accessible, unencrypted, or shared with accounts outside the organization.
Alerts and Reporting: Macie generates detailed alerts and reports when it detects unauthorized access or inadvertent data leaks.
Data Security Posture: It helps improve the data security posture by providing actionable recommendations for securing S3 buckets.
Compliance Support: Macie aids in compliance efforts by monitoring data access patterns and ensuring that sensitive data is handled according to policy.
Reference:
AWS documentation on Amazon Macie, which outlines its capabilities for protecting sensitive data in S31.
An AWS blog post discussing how Macie can be used to identify and protect sensitive data in S3 buckets1.
質問 # 168
Global SoftTechSol is a multinational company that provides customized software solutions and services to various clients located in different countries. It uses a public cloud to host its applications and services. Global SoftTechSol uses Cloud Debugger to inspect the current state of a running application in real-time, find bugs, and understand the behavior of the code in production. Identify the service provider that provides the Cloud Debugger feature to Global SoftTechSol?
正解：A
解説：
Cloud Debugger is a feature provided by Google Cloud that allows developers to inspect the state of a running application in real-time. It is used to find bugs and understand the behavior of code in production without stopping or slowing down the application.
Here's how Cloud Debugger works for Global SoftTechSol:
* Real-Time Inspection: Developers can take a snapshot of an application at any point in time to capture its state, including call stacks, variables, and expressions.
* Non-Disruptive: Cloud Debugger operates without affecting the performance of the application, allowing debugging in production.
* Code Understanding: It helps developers understand the behavior of their code under real-world conditions.
* Integration: Cloud Debugger is integrated with other Google Cloud services, providing a seamless debugging experience.
* Security: It ensures that sensitive data is protected during the debugging process.
References:
* Google Cloud documentation on Cloud Debugger1.
* A blog post by Google Cloud detailing the capabilities of Cloud Debugger2.
質問 # 169
A cloud organization, AZS, wants to maintain homogeneity in its cloud operations because the CPU speed measured by AZS varies and the measurement units lack consistency in the standards. For example, AWS defines the CPU speed with Elastic Compute Unit, Google with Google Compute Engine Unit, and Microsoft with clock speed. Here, which cloud computing standard can leverage frameworks and architectures specific to the cloud for maintaining homogeneity in operations?
正解：D
解説：
Explore
Cloud Computing Standards: Cloud computing standards are essential for ensuring consistency and interoperability among different cloud service providers1.
Homogeneity in Operations: Maintaining homogeneity in operations across various cloud platforms requires a standard that provides frameworks and architectures specific to cloud computing1.
NIST's Role: The National Institute of Standards and Technology (NIST) has developed a cloud computing standards roadmap that includes frameworks and architectures for cloud computing. This roadmap aims to promote cloud computing standards and ensure homogeneity in operations1.
CPU Speed Measurement: NIST's standards can help organizations like AZS to have a consistent approach to measuring CPU speed across different cloud providers, despite the different units of measurement used by AWS, Google, and Microsoft1.
Exclusion of Other Options: While other organizations like DMTF and CSA contribute to cloud standards, NIST is specifically recognized for its work in creating a comprehensive framework that addresses the need for homogeneity in cloud operations1.
Reference:
NIST Cloud Computing Standards Roadmap1.
質問 # 170
Rachel McAdams works as a cloud security engineer in an MNC. A DRaaS company has provided a disasterrecovery site to her organization. The disaster recovery sites have partially redundant equipment with daily or weekly data synchronization provision; failover occurs within hours or days with minimum data loss. Based on this information, which of the following disaster recovery sites is provided by the DRaaS company to Rachel's organization?
正解：B
解説：
The description provided indicates that the disaster recovery site is a Warm Site. Here's why:
Partially Redundant Equipment: Warm sites are equipped with some of the system hardware, software, telecommunications, and power sources.
Data Synchronization: They have provisions for daily or weekly data synchronization, which aligns with the description given.
Failover Time: Failover to a warm site typically occurs within hours or days, as mentioned.
Minimum Data Loss: Due to the regular synchronization, there is minimal data loss in the event of a failover.
Reference:
A Warm Site is a type of disaster recovery site that sits between a hot site, which is fully equipped and ready to take over immediately, and a cold site, which is an empty data center that requires setup before use. The warm site's readiness and partial redundancy make it suitable for organizations that need a balance between cost and downtime.
質問 # 171
Global CyberSec Pvt. Ltd. is an IT company that provides software and application services related to cybersecurity. Owing to the robust security features offered by Microsoft Azure, the organization adopted the Azure cloud environment. A security incident was detected on the Azure cloud platform. Global CyberSec Pvt. Ltd.'s security team examined the log data collected from various sources. They found that the VM was affected. In this scenario, when should the backup copy of the snapshot be taken in a blob container as a page blob during the forensic acquisition of the compromised Azure VM?
正解：D
解説：
In the context of forensic acquisition of a compromised Azure VM, it is crucial to maintain the integrity of the evidence. The backup copy of the snapshot should be taken before any operations that could potentially alter the data are performed. This means creating the backup copy in a blob container as a page blob before mounting the snapshot onto the forensic workstation.
Here's the process:
* Create Snapshot: First, a snapshot of the VM's disk is created to capture the state of the VM at the point of compromise.
* Backup Copy: Before the snapshot is mounted onto the forensic workstation for analysis, a backup copy of the snapshot should be taken and stored in a blob container as a page blob.
* Maintain Integrity: This step ensures that the original snapshot remains unaltered and can be used as evidence, maintaining the chain of custody.
* Forensic Analysis: After the backup copy is secured, the snapshot can be mounted onto the forensic workstation for detailed analysis.
* Documentation: All steps taken during the forensic acquisition process should be thoroughly documented for legal and compliance purposes.
References:
* Microsoft's guidelines on the computer forensics chain of custody in Azure, which include the process of handling VM snapshots for forensic purposes1.
質問 # 172
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