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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Security Principles and Concepts | 20% | - Security frameworks and standards (NIST, ISO 27001, CSA) - Cloud deployment models: public, private, hybrid, multi-cloud - Shared responsibility model - Cloud service models: IaaS, PaaS, SaaS |
| Topic 2: Identity and Access Management (IAM) | 20% | - Least privilege and separation of duties - Authentication, authorization, and accounting - Identity providers and federation - Zero Trust architecture principles |
| Topic 3: Cloud Infrastructure and Platform Security | 20% | - Storage security and protection - Application security in cloud environments - Compute and virtualization security - Network security: segmentation, firewalls, WAFs |
| Topic 4: Governance, Risk, and Compliance | 10% | - Risk assessment and management - Audit, logging, and monitoring - Compliance with regulations (GDPR, HIPAA, PCI DSS) |
| Topic 5: Cloud Data Security | 20% | - Data classification and lifecycle management - Data privacy and compliance requirements - Encryption: at rest, in transit, in use - Key management and secrets protection |
| Topic 6: Security Operations and Incident Response | 10% | - Incident response planning and execution - Disaster recovery and business continuity - Threat detection and vulnerability management |
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NEW QUESTION # 98
Which cloud computing service model allows customers to run their own application code without configuring the server environment?
Answer: A
Explanation:
Platform as a Service (PaaS) allows customers to focus on writing and deploying code without managing the underlying infrastructure. The provider manages the operating system, runtime, and middleware, enabling faster development cycles and reduced administrative overhead.
IaaS would require the customer to configure servers and operating systems, SaaS provides ready-to-use applications, and DSaaS is a specialized category for analytics.
By abstracting the infrastructure, PaaS accelerates innovation and reduces operational burden but also limits flexibility in some cases. Security responsibilities under PaaS focus on application-level controls, while the provider handles infrastructure-level protections.
NEW QUESTION # 99
Which cloud platform detection and analysis methodology can be performed to determine whether other similar instances were potentially exposed during the same attack?
Answer: C
Explanation:
Examining configuration data is the appropriate methodology to determine whether other similar instances were potentially exposed during the same attack. Managing Cloud principles explain that configuration analysis identifies shared settings, permissions, or misconfigurations across cloud resources.
By reviewing configuration data, security teams can identify patterns such as overly permissive access controls, shared credentials, or insecure templates that may affect multiple instances. This helps assess blast radius and identify additional affected systems.
Application logs and network flows help investigate specific events, while generalized log review focuses on activity. Configuration analysis uniquely identifies systemic exposure. Therefore, examining configuration data is the correct answer.
NEW QUESTION # 100
Which U.S. law requires all publicly traded corporations in the United States to provide information about their financial status and implements controls to ensure the accuracy of the disclosed information?
Answer: A
Explanation:
TheSarbanes-Oxley (SOX) Act of 2002was enacted to restore investor confidence after major corporate accounting scandals. It requires publicly traded corporations to maintain accurate financial reporting and implement internal controls to safeguard the integrity of disclosed information.
GLBA focuses on protecting consumer financial data, GDPR is a European regulation governing privacy, and the CLOUD Act addresses cross-border law enforcement access to data. Only SOX directly mandates financial disclosure and corporate accountability.
SOX compliance includes maintaining audit trails, securing data integrity, and ensuring that executives certify financial statements. Failure to comply carries severe penalties, both civil and criminal. For cloud environments, SOX compliance extends to ensuring IT systems used for financial data are secure, monitored, and auditable.
NEW QUESTION # 101
Which item must be examined in detail when evaluating the risks associated with a new software as a service (SaaS) solution?
Answer: C
Explanation:
When evaluating the risks of a new Software as a Service (SaaS) solution, the historical availability of services must be examined in detail. Managing Cloud principles explain that availability is a critical risk factor because customers rely entirely on the provider to deliver uninterrupted access to applications and data.
Reviewing historical uptime, outage frequency, and incident response performance provides insight into the provider's operational maturity and resilience. Past availability metrics help organizations assess whether the SaaS provider can meet business continuity, disaster recovery, and service level expectations.
The other options represent security controls or operational activities but are not primary risk indicators during SaaS evaluation. Administrative account usage and multi-factor authentication relate to access controls, while patching is managed by the provider in SaaS environments. Therefore, historical availability is the most relevant item to assess.
NEW QUESTION # 102
Which technique is used to count source and destination internet protocol (IP) addresses in incoming log flow across all log sources?
Answer: C
Explanation:
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.
NEW QUESTION # 103
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