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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Security Principles and Concepts | 20% | - Security frameworks and standards (NIST, ISO 27001, CSA) - Cloud service models: IaaS, PaaS, SaaS - Cloud deployment models: public, private, hybrid, multi-cloud - Shared responsibility model |
| Topic 2: Identity and Access Management (IAM) | 20% | - Authentication, authorization, and accounting - Least privilege and separation of duties - Zero Trust architecture principles - Identity providers and federation |
| Topic 3: Security Operations and Incident Response | 10% | - Disaster recovery and business continuity - Incident response planning and execution - Threat detection and vulnerability management |
| Topic 4: Governance, Risk, and Compliance | 10% | - Risk assessment and management - Compliance with regulations (GDPR, HIPAA, PCI DSS) - Audit, logging, and monitoring |
| Topic 5: Cloud Infrastructure and Platform Security | 20% | - Application security in cloud environments - Compute and virtualization security - Storage security and protection - Network security: segmentation, firewalls, WAFs |
| Topic 6: Cloud Data Security | 20% | - Data privacy and compliance requirements - Encryption: at rest, in transit, in use - Key management and secrets protection - Data classification and lifecycle management |
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NEW QUESTION # 46
Which risk may be faced by users when using software resources in the platform as a service (PaaS) cloud model?
Answer: D
Explanation:
Information bleed is a risk associated with the Platform as a Service (PaaS) cloud model. Managing Cloud principles explain that PaaS environments are inherently multi-tenant, with multiple customers sharing the same underlying platform components such as runtimes, databases, and middleware.
If isolation controls are weak or misconfigured, data from one tenant may inadvertently become accessible to another. This unintended exposure is referred to as information bleed and represents a significant confidentiality risk in shared environments.
Guest escape is primarily related to virtualization at the infrastructure layer, software interoperability is a functional concern, and web application security applies across all service models. Therefore, information bleed is the most relevant PaaS-specific risk.
NEW QUESTION # 47
Which phase of the cloud data life cycle involves activities such as data categorization and classification, including data labeling, marking, tagging, and assigning metadata?
Answer: D
Explanation:
The cloud data life cycle defines distinct stages that data goes through from its origin until its disposal. The Createphase is the very first stage, and this is where data is generated or captured by systems, applications, or users. At this point, data does not yet have context for storage or use, so it must be appropriately categorized and classified. Activities like labeling, marking, tagging, and assigning metadata are critical because they establish the foundation for enforcing controls throughout the rest of the life cycle.
Classification ensures that data is aligned with sensitivity levels, regulatory requirements, and business value.
For example, financial records may be labeled "confidential" while general marketing content may be marked
"public." These distinctions guide how encryption, access controls, and monitoring will be applied in subsequent phases such as storage, sharing, or use.
According to industry frameworks, starting security at theCreatephase ensures that controls "follow the data" across environments. Without proper classification at creation, organizations risk mismanaging sensitive data downstream.
NEW QUESTION # 48
An organization consists of many divisions. Its leadership team has gathered the managers and key team members in each division to help create a disaster recovery plan. It studies the type of natural events that commonly occur and the risk involved for each location in which the organization has a data center. What is the leadership team doing in this scenario?
Answer: A
Explanation:
By analyzing natural events that could impact data centers and assessing the risks associated with each, the leadership team isdefining the disaster criteria. This step determines what conditions or events qualify as disasters requiring activation of the recovery plan.
An asset inventory identifies systems, but here the focus is on external events. A disaster declaration process occurs during an actual event, and identifying actions comes later when response strategies are created.
Defining disaster criteria is essential to avoid ambiguity during crises. It establishes thresholds such as
"category 4 hurricanes," "regional power outages exceeding 12 hours," or "seismic events over a set magnitude." Clear criteria ensure consistent decision-making and timely activation of recovery procedures.
NEW QUESTION # 49
A customer service representative needs to verify a customer's private information, but the representative does not need to see all the information. Which technique should the service provider use to protect the privacy of the customer?
Answer: D
Explanation:
Data maskingis a privacy-preserving technique that replaces sensitive fields with obfuscated or partial values while retaining usability. For example, displaying only the last four digits of a Social Security Number or credit card number. This allows a representative to verify identity without accessing the full data set.
Hashing and encryption protect data at rest or in transit, but they do not allow selective partial display.
Tokenization substitutes sensitive data with unique tokens but is typically used for storage and processing rather than interactive verification. Masking, on the other hand, is specifically designed for scenarios where a user must work with limited but recognizable data.
By using masking, organizations enforce the principle of least privilege, reduce exposure of sensitive information, and align with privacy standards such as PCI DSS and GDPR.
NEW QUESTION # 50
Which type of storage includes categories such as relational, nonrelational, key-value, and document-oriented?
Answer: D
Explanation:
The categories mentioned-relational, nonrelational, key-value, and document-oriented-refer to different types of databases. Relational databases (SQL) organize data into tables with rows and columns, nonrelational databases (NoSQL) provide flexibility for unstructured data, key-value stores map identifiers to values, and document-oriented databases manage data in formats such as JSON or BSON.
Object-based storage and volumes are alternative storage architectures but are not described by these categories. XML is a data format, not a storage type.
In the cloud, database services are offered as managed solutions, reducing the administrative burden on organizations. Properly managing database storage is critical for data governance, confidentiality, and compliance. Databases are also central to security strategies, where access control, encryption, and auditing are applied.
Thus, the correct answer is database storage, which encompasses multiple architectures that address different performance, scalability, and data management needs.
NEW QUESTION # 51
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