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| Section | Objectives |
|---|---|
| Topic 1: Risk Management and Compliance | - Cloud risk assessment and mitigation
|
| Topic 2: Identity and Access Management (IAM) | - Authentication and authorization in cloud systems
|
| Topic 3: Cloud Security Architecture | - Secure cloud design principles
|
| Topic 4: Security Monitoring and Incident Response | - Detection and response in cloud environments
|
| Topic 5: Cloud Security Governance | - Security policies and compliance frameworks in cloud environments
|
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NEW QUESTION # 94
As part of an e-discovery process, an employee needs to identify all documents that contain a specific phrase.
Which type of discovery method should the employee use to identify these documents?
Answer: B
Explanation:
Content-based discoveryinvolves searching within the actual text or binary content of documents to find matches for keywords, phrases, or patterns. In e-discovery, when the requirement is to locate documents containing a specific phrase, searching based on content is the most direct and reliable method.
Other approaches, such as metadata-based discovery, only examine properties like creation date or author, which do not reveal the presence of specific text. Label-based discovery relies on pre-applied classification labels, which may not always be accurate. Location-based discovery limits searches to folders or storage locations but does not guarantee relevance.
Content-based discovery provides completeness in legal and regulatory investigations. It ensures that no relevant documents are overlooked simply because of inconsistent labeling or metadata, thus supporting compliance and defensibility in court proceedings.
NEW QUESTION # 95
When should a cloud service provider delete customer data?
Answer: B
Explanation:
The correct time for data deletion isafter the specified retention perioddefined by contractual agreements, regulatory frameworks, or internal policies. Retention policies ensure that data is kept for as long as necessary for business, legal, or compliance reasons but not longer than required.
Oversubscription, inactivity, or review cycles are not valid triggers because they may conflict with compliance mandates such as GDPR, HIPAA, or PCI DSS. Deleting data prematurely could result in legal penalties or business risks, while keeping it longer than necessary could increase exposure.
By deleting data only after the retention period, providers demonstrate adherence to data governance principles and protect customer rights while minimizing storage costs and liability.
NEW QUESTION # 96
A user creates new financial documents that will be stored in the cloud. Which action should the user take before uploading the documents to protect them against threats such as packet capture and on-path attacks?
Answer: C
Explanation:
Before transmitting sensitive financial data to the cloud, the best defense against interception threats like packet capture and man-in-the-middle attacks is encryption. Encryption protects data in transit by converting plain text into cipher text, which can only be deciphered with the correct keys.
Hashing provides integrity verification but does not secure confidentiality. Change tracking monitors modifications but does not prevent interception. Metadata labeling adds context but does not protect against on-path attackers.
Using strong encryption protocols (e.g., TLS) ensures that even if traffic is intercepted, the attacker cannot read the data. Encryption also aligns with compliance requirements such as PCI DSS, which mandates encryption for financial data during transmission. By encrypting before upload, the user ensures end-to-end confidentiality across potentially insecure networks.
NEW QUESTION # 97
Which technique is used to count source and destination internet protocol (IP) addresses in incoming log flow across all log sources?
Answer: D
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 # 98
Which type of regulation governs credit card transactions as a part of cloud operations?
Answer: B
Explanation:
The Payment Card Industry Data Security Standard (PCI DSS) governs credit card transactions in cloud operations. Managing Cloud principles explain that PCI DSS establishes security requirements for organizations that store, process, or transmit cardholder data.
PCI DSS applies to cloud service providers and cloud customers involved in payment processing. It mandates controls such as encryption, access restrictions, monitoring, vulnerability management, and secure system configurations to protect cardholder information.
GLBA applies to financial institutions, SOX governs financial reporting controls, and HIPAA protects healthcare data. Therefore, PCI DSS is the correct regulation for credit card transactions.
NEW QUESTION # 99
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