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| Section | Weight | Objectives |
|---|---|---|
| Cloud Infrastructure and Platform Security | 20% | - Storage security and protection - Network security: segmentation, firewalls, WAFs - Application security in cloud environments - Compute and virtualization security |
| Identity and Access Management (IAM) | 20% | - Least privilege and separation of duties - Identity providers and federation - Authentication, authorization, and accounting - Zero Trust architecture principles |
| Security Operations and Incident Response | 10% | - Disaster recovery and business continuity - Threat detection and vulnerability management - Incident response planning and execution |
| Cloud Security Principles and Concepts | 20% | - Cloud service models: IaaS, PaaS, SaaS - Security frameworks and standards (NIST, ISO 27001, CSA) - Shared responsibility model - Cloud deployment models: public, private, hybrid, multi-cloud |
| Governance, Risk, and Compliance | 10% | - Compliance with regulations (GDPR, HIPAA, PCI DSS) - Risk assessment and management - Audit, logging, and monitoring |
| Cloud Data Security | 20% | - Data privacy and compliance requirements - Data classification and lifecycle management - Encryption: at rest, in transit, in use - Key management and secrets protection |
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11. Frage
An organization needs to provide space where security administrators can centrally monitor network traffic and events and respond to threats or outages. What should the organization create?
Antwort: D
Begründung:
A Security Operations Center (SOC) is a centralized facility that allows administrators to monitor, detect, investigate, and respond to cybersecurity events in real time. SOC teams leverage tools such as SIEM (Security Information and Event Management), threat intelligence, and incident response playbooks.
ERTs and DRTs are teams focused on emergencies and disaster recovery, respectively, but they do not provide continuous monitoring. A NOC focuses on performance and availability of IT infrastructure but not on security threats.
By establishing a SOC, organizations ensure 24/7 visibility into security events, coordinated incident handling, and compliance with standards such as ISO 27001 and SOC 2. SOCs are essential in cloud environments where threats evolve rapidly, and centralized expertise is needed to minimize impact.
12. Frage
Which technique is used to count source and destination internet protocol (IP) addresses in incoming log flow across all log sources?
Antwort: C
Begründung:
Frequency analysis is the technique used to count source and destination IP addresses in incoming log flows across multiple log sources. Managing Cloud principles explain that frequency-based analysis evaluates how often specific events, IP addresses, or actions occur within collected log data.
By counting the number of times an IP address appears as a source or destination, security teams can identify anomalies such as distributed scanning, brute-force attacks, or denial-of-service activity. Frequency analysis is commonly used within SIEM platforms to correlate logs from firewalls, servers, applications, and network devices.
The other options do not perform this function. Software error refers to application faults, time-based analysis focuses on event duration or timestamps, and baseline establishes normal behavior patterns rather than counting occurrences. Therefore, frequency is the correct technique.
13. Frage
An engineer needs to create segmentation using the built-in tools provided by the company's cloud provider.
The InfoSec team has given the engineer directions to limit traffic using a security group between two cloud deployments in the organization. Which mechanisms should the engineer use to create this segmentation?
Antwort: A
Begründung:
Cloudsecurity groupstypically filter traffic based onports and protocols. By allowing or denying specific port/protocol combinations, engineers can control communication between deployments. For example, permitting HTTPS (TCP port 443) while blocking other ports enforces segmentation.
MAC addresses are not used in cloud-level segmentation because they apply to physical networks. Unique identifiers and definitions are not practical mechanisms for traffic filtering.
Using ports and protocols aligns with the principle of least privilege by ensuring that only necessary communication pathways exist. In multi-deployment or hybrid cloud setups, this reduces the attack surface and prevents lateral movement by malicious actors. Security groups thereby provide logical network segmentation without requiring physical infrastructure changes.
14. Frage
Which approach helps prepare for common application vulnerabilities that developers are likely to encounter when working with cloud applications?
Antwort: C
Begründung:
Threat modeling is the approach that helps developers prepare for common application vulnerabilities in cloud environments. Managing Cloud principles explain that threat modeling is a proactive security activity performed during the design and development phases of an application.
This approach involves identifying potential threats, attack vectors, and weaknesses based on application architecture, data flows, trust boundaries, and usage patterns. By anticipating how attackers may exploit cloud- specific characteristics-such as exposed APIs, shared resources, and identity-based access-developers can design controls to mitigate risks early in the lifecycle.
Sandboxing and application virtualization are isolation techniques rather than preparation methods, and multitenancy describes a cloud architecture characteristic. Threat modeling directly supports secure design by aligning security controls with known vulnerability patterns. Therefore, threat modeling is the correct answer.
15. Frage
Which of the following is an iterative software development methodology that focuses on achieving customer satisfaction by delivering the software early in the process and welcoming changing requirements from the customer, even late in the process?
Antwort: D
Begründung:
Agileis an iterative software development methodology designed to prioritize customer satisfaction, adaptability, and incremental delivery. Agile teams deliver small, working pieces of software frequently, ensuring feedback is incorporated throughout the process. This flexibility allows late-stage requirement changes to be accommodated without derailing the project.
Waterfall is a sequential approach with limited flexibility. Spiral combines iterative development with risk analysis, but it is not as customer-focused as Agile. Lean emphasizes efficiency and waste reduction but does not center on continuous delivery and adaptability.
Agile frameworks such as Scrum and Kanban embody this philosophy, supporting faster innovation, better collaboration, and responsiveness to evolving business needs.
16. Frage
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