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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Standards, Policies, and Legal Issues in Cloud | 8% | - Cloud service level agreements (SLAs) and liability - International standards: ISO 27017, ISO 27018, NIST - Data sovereignty and legal jurisdiction - Industry-specific regulations: HIPAA, PCI DSS, GDPR |
| Topic 2: Application Security in Cloud | 12% | - Cloud application architecture and threats - Application security controls for major cloud platforms - API security and authentication mechanisms - Secure software development lifecycle (SSDLC) in cloud |
| Topic 3: Incident Response in Cloud | 8% | - Cloud-specific incident handling challenges - Eradication and recovery procedures - Preparation, detection, and containment strategies - Incident response lifecycle in cloud |
| Topic 4: Governance, Risk Management, and Compliance (GRC) | 8% | - Risk assessment and management methodologies - Compliance with regulations and standards - Cloud governance frameworks and policies - Audit and assurance processes |
| Topic 5: Platform and Infrastructure Security in Cloud | 12% | - Cloud architecture and components security - Security controls for AWS, Azure, GCP infrastructure - Virtualization and container security - Network security in cloud environments |
| Topic 6: Data Security in Cloud | 12% | - Data privacy and compliance requirements - Key management and cloud storage security - Data classification and protection strategies - Encryption techniques for data at rest and in transit |
| Topic 7: Introduction to Cloud Security | 8% | - Cloud security principles and challenges - Cloud computing concepts and service models - Cloud deployment models and security considerations |
| Topic 8: Security Operations in Cloud | 8% | - Cloud security monitoring and logging - Threat detection and response methodologies - Vulnerability management and patch management - Security information and event management (SIEM) in cloud |
| Topic 9: Cloud Penetration Testing | 8% | - Testing IaaS, PaaS, and SaaS environments - Exploiting cloud-specific vulnerabilities - Reporting and remediation of findings - Penetration testing frameworks and methodologies |
| Topic 10: Forensic Investigation in Cloud | 8% | - Analysis of cloud logs and artifacts - Legal and compliance aspects of cloud forensics - Evidence collection and preservation techniques - Cloud forensics principles and challenges |
| Topic 11: Business Continuity and Disaster Recovery | 8% | - Backup and recovery strategies - Disaster recovery testing and maintenance - BC/DR planning for cloud environments - High availability and fault tolerance design |
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NEW QUESTION # 161
Chris Noth has recently joined CloudAppSec Private Ltd. as a cloud security engineer. Owing to several instances of malicious activities performed by former employees on his organization's applications and data that reside in an on-premises environment, in 2010, his organization adopted cloud computing and migrated all applications and data to the cloud. Chris would like to manage user identities in cloud-based services and applications. Moreover, he wants to reduce the risk caused by the accounts of former users (employees) by ensuring that the users who leave the system can no longer log in to the system. Therefore, he has enforced an IAM standard that can automate the provisioning and de-provisioning of users when they enter and leave the system. Which of the following IAM standards is implemented by Chris Noth?
Answer: B
Explanation:
SCIM (System for Cross-domain Identity Management) is an open standard designed to automate the provisioning and de-provisioning of user identities across various systems. By implementing SCIM, Chris Noth can manage user identities effectively in cloud-based services and applications, ensuring that users who leave the organization can no longer log in. This standard helps streamline identity management processes and enhances security by reducing the risk associated with former employees retaining access to the system.
NEW QUESTION # 162
Rebecca Gibel has been working as a cloud security engineer in an IT company for the past 5 years. Her organization uses cloud-based services. Rebecca's organization contains personal information about its clients,which is encrypted and stored in the cloud environment. The CEO of her organization has asked Rebecca to delete the personal information of all clients who utilized their services between 2011 and 2015. Rebecca deleted the encryption keys that are used to encrypt the original data; this made the data unreadable and unrecoverable. Based on the given information, which deletion method was implemented by Rebecca?
Answer: A
Explanation:
Crypto-shredding is the method of 'deleting' encrypted data by destroying the encryption keys. This method is particularly useful in cloud environments where physical destruction of storage media is not feasible. By deleting the keys used to encrypt the data, the data itself becomes inaccessible and is effectively considered deleted.
Here's how crypto-shredding works:
Encryption: Data is encrypted using cryptographic keys, which are essential for decrypting the data to make it readable.
Key Management: The keys are managed separately from the data, often in a secure key management system.
Deletion of Keys: When instructed to delete the data, instead of trying to erase the actual data, the encryption keys are deleted.
Data Inaccessibility: Without the keys, the encrypted data cannot be decrypted, rendering it unreadable and unrecoverable.
Compliance: This method helps organizations comply with data protection regulations that require secure deletion of personal data.
Reference:
A technical paper discussing the concept of crypto-shredding as a method for secure deletion of data in cloud environments.
An industry article explaining how crypto-shredding is used to meet data privacy requirements, especially in cloud storage scenarios.
NEW QUESTION # 163
Jimmi Simpson has been working as a cloud security engineer in an IT company situated in Livonia, Michigan. His organization uses Microsoft Azure's cloud-based services. Jimmi wants a cloud-based, scalable SIEM and SOAR solution that uses threat intelligence and provides intelligent security analytics across his organization. Which of the following Microsoft Azure services provides a single solution for threat visibility, alert detection, threat response, and proactive hunting that reduces the number of attacks, provides a birds-eye view across the organization, generates high volumes of alerts, and ensures long resolution time frames?
Answer: C
Explanation:
Azure Sentinel is a cloud-native Security Information and Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) solution provided by Microsoft Azure.
It offers a comprehensive solution for threat visibility, alert detection, threat response, and proactive hunting. Azure Sentinel uses threat intelligence and provides intelligent security analytics, helping organizations reduce the number of attacks and gain a birds-eye view of their security posture.
NEW QUESTION # 164
An organization wants to implement a zero-trust access model for its SaaS application on the CCP as well as its on-premises applications. Which of the following CCP services can be used to eliminate the need for setting up a company-wide VPN and implement the RBAC feature to verify employee identities to access organizational applications?
Answer: D
Explanation:
Identity-Aware Proxy (IAP) enables zero-trust access by verifying user identities and enforcing Role-Based Access Control (RBAC) for applications without the need for a company-wide VPN, providing secure access to both SaaS and on-premises applications.
NEW QUESTION # 165
Katie Holmes has been working as a cloud security engineer over the past 7 years in an MNC. Since the outbreak of the COVID-19 pandemic, the cloud service provider could not provide cloud services efficiently to her organization. Therefore, Katie suggested to the management that they should design and build their own data center. Katie's requisition was approved, and after 8 months, Katie's team successfully designed and built an on-premises data center. The data center meets all organizational requirements; however, the capacity components are not redundant. If a component is removed, the data center comes to a halt. Which tier data center was designed and constructed by Katie's team?
Answer: B
Explanation:
Data center
Explore
The data center designed and constructed by Katie Holmes' team is a Tier I data center based on the description provided.
* Tier I Data Center: A Tier I data center is characterized by a single path for power and cooling and no redundant components. It provides an improved environment over a simple office setting but is susceptible to disruptions from both planned and unplanned activity1.
* Lack of Redundancy: The fact that removing a component brings the data center to a halt indicates there is no redundancy in place. This is a defining characteristic of a Tier I data center, which has no built-in redundancy to allow for maintenance without affecting operations1.
* Operational Aspects:
* Uptime: A Tier I data center typically has an uptime of 99.671%.
* Maintenance: Any maintenance or unplanned outages will likely result in downtime, as there are no alternate paths or components to take over the load1.
References:
* Data centre tiers - Wikipedia1.
NEW QUESTION # 166
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