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EC-COUNCIL 312-40 Exam Syllabus Topics:

Topic
Details

Topic 1

Platform and Infrastructure Security in the Cloud: It explores key technologies and components that form a cloud architecture.

Topic 2

Penetration Testing in the Cloud: It demonstrates how to implement comprehensive penetration testing to assess the security of a company’s cloud infrastructure.

Topic 3

Standards, Policies, and Legal Issues in the Cloud: The topic discusses different legal issues, policies, and standards that are associated with the cloud.

Topic 4

Application Security in the Cloud: The focus of this topic is the explanation of secure software development lifecycle changes and the security of cloud applications.

Topic 5

Business Continuity and Disaster Recovery in the Cloud: It highlights the significance of business continuity and planning of disaster recovery in IR.

Topic 6

Incident Detection and Response in the Cloud: This topic focuses on various aspects of incident response.

Topic 7

Governance, Risk Management, and Compliance in the Cloud: This topic focuses on different governance frameworks, models, regulations, design, and implementation of governance frameworks in the cloud.

Topic 8

Data Security in the Cloud: This topic covers the basics of cloud data storage. Additionally, it covers the lifecycle of cloud storage data and different controls to protect cloud data at rest and data in transit.

Topic 9

Operation Security in the Cloud: The topic encompasses different security controls which are essential to build, implement, operate, manage, and maintain physical and logical infrastructures for cloud.

Topic 10

Introduction to Cloud Security: This topic covers core concepts of cloud computing, cloud-based threats, cloud service models, and vulnerabilities.

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EC-COUNCIL EC-Council Certified Cloud Security Engineer (CCSE) Sample Questions (Q79-Q84):

NEW QUESTION # 79
Global InfoSec Solution Pvt. Ltd. is an IT company that develops mobile-based software and applications. For smooth, secure, and cost-effective facilitation of business, the organization uses public cloud services. Now, Global InfoSec Solution Pvt. Ltd. is encountering a vendor lock-in issue. What is vendor lock-in in cloud computing?

A. It is a situation in which a cloud consumer cannot switch to another cloud service broker without substantial switching costs
B. It is a situation in which a cloud service provider cannot switch to another cloud service broker without substantial switching costs
C. It is a situation in which a cloud consumer cannot switch to a cloud carrier without substantial switching costs
D. It is a situation in which a cloud consumer cannot switch to another cloud service provider without substantial switching costs

Answer: D

Explanation:
Vendor lock-in in cloud computing refers to a scenario where a customer becomes dependent on a single cloud service provider and faces significant challenges and costs if they decide to switch to a different provider.
* Dependency: The customer relies heavily on the services, technologies, or platforms provided by one cloud service provider.
* Switching Costs: If the customer wants to switch providers, they may encounter substantial costs related to data migration, retraining staff, and reconfiguring applications to work with the new provider's platform.
* Business Disruption: The process of switching can lead to business disruptions, as it may involve downtime or a learning curve for new services.
* Strategic Considerations: Vendor lock-in can also limit the customer's ability to negotiate better terms or take advantage of innovations and price reductions from competing providers.
References:Vendor lock-in is a well-known issue in cloud computing, where customers may find it difficult to move databases or services due to high costs or technical incompatibilities. This can result from using proprietary technologies or services that are unique to a particular cloud provider12. It is important for organizations to consider the potential for vendor lock-in when choosing cloud service providers and to plan accordingly to mitigate these risks1.

NEW QUESTION # 80
The TCK Bank adopts cloud for storing the private data of its customers. The bank usually explains its information sharing practices to its customers and safeguards sensitive data. However, there exist some security loopholes in its information sharing practices. Therefore, hackers could steal the critical data of the bank's customers. In this situation, under which cloud compliance framework will the bank be penalized?

A. ITAR
B. NIST
C. GDPR
D. GLBA

Answer: C

Explanation:
If TCK Bank has security loopholes in its information sharing practices that lead to the theft of customer data, it could be penalized under the General Data Protection Regulation (GDPR) compliance framework.
* GDPR Overview: GDPR is a regulation in EU law on data protection and privacy in the European Union and the European Economic Area. It also addresses the transfer of personal data outside the EU and EEA areas1.
* Penalties Under GDPR: The GDPR imposes heavy penalties for non-compliance or breaches, which can be up to €20 million or 4% of the annual global turnover of the organization, whichever is greater1.
* Relevance to TCK Bank: If TCK Bank operates within the EU or deals with the data of EU citizens, it must comply with GDPR. Any security loopholes that lead to data breaches can result in significant penalties under this framework.
References:
* GDPR Compliance: What You Need to Know1.
* Understanding GDPR Penalties and Fines2.
* GDPR Enforcement Tracker3.

NEW QUESTION # 81
You are the manager of a cloud-based security platform that offers critical services to government agencies and private companies. One morning, your team receives an alert from the platform's intrusion detection system indicating that there has been a potential breach in the system. As the manager, which tool you will use for viewing and monitoring the sensitive data by scanning storage systems and reviewing the access rights to critical resources via a single centralized dashboard?

A. Google Cloud Security Command Center
B. Google Cloud Security Scanner
C. Cloud Identity and Access Management (IAM)
D. Google Cloud Armor

Answer: A

Explanation:
The Google Cloud Security Command Center (Cloud SCC) is the tool designed to provide a centralized dashboard for viewing and monitoring sensitive data, scanning storage systems, and reviewing access rights to critical resources.
Centralized Dashboard: Cloud SCC offers a comprehensive view of the security status of your resources in Google Cloud, across all your projects and services1.
Sensitive Data Scanning: It has capabilities for scanning storage systems to identify sensitive data, such as personally identifiable information (PII), and can provide insights into where this data is stored1.
Access Rights Review: Cloud SCC allows you to review who has access to your critical resources and whether any policies or permissions should be adjusted to enhance security1.
Alerts and Incident Response: In the event of a potential breach, Cloud SCC can help identify the affected resources and assist in the investigation and response process1.
Reference:
Google Cloud Security Command Center is a security management and data risk platform for Google Cloud that helps you prevent, detect, and respond to threats from a single pane of glass. It provides security insights and features like asset inventory, discovery, search, and management; vulnerability and threat detection; and compliance monitoring to protect your services and applications on Google Cloud1.

NEW QUESTION # 82
Christina Hendricks recently joined an MNC as a cloud security engineer. Owing to robust provisions for storing an enormous quantity of data, security features, and cost-effective services offered by AWS, her organization migrated its applications and data from an on-premises environment to the AWS cloud. Christina's organization generates structured, unstructured, and semi-structured dat a. Christina's team leader asked her to store block-level data in AWS storage services. Which of the following AWS storage services should be used by Christina to store block-level data?

A. Amazon S3
B. Amazon EFS
C. Amazon Glacier
D. Amazon EBS

Answer: D

Explanation:
Block-Level Storage: Block-level storage is a type of data storage typically used for storing file systems and handling raw storage volumes. It allows for individual management of data blocks1.
Amazon EBS: Amazon Elastic Block Store (Amazon EBS) provides high-performance block storage service designed for use with Amazon Elastic Compute Cloud (EC2) for both throughput and transaction-intensive workloads at any scale2.
Data Types: Amazon EBS is suitable for structured, unstructured, and semi-structured data, making it a versatile choice for Christina's organization's needs2.
Use Cases: Common use cases for Amazon EBS include databases, enterprise applications, containerized applications, big data analytics engines, file systems, and media workflows2.
Exclusion of Other Options: Amazon Glacier is for long-term archival storage, Amazon EFS is for file storage, and Amazon S3 is for object storage. These services do not provide block-level storage like Amazon EBS does3.
Reference:
AWS's official page on Amazon EBS2.
AWS's explanation of block storage1.

NEW QUESTION # 83
Trevor Holmes works as a cloud security engineer in a multinational company. Approximately 7 years ago, his organization migrated its workload and data to the AWS cloud environment. Trevor would like to monitor malicious activities in the cloud environment and protect his organization's AWS account, data, and workloads from unauthorized access. Which of the following Amazon detection services uses anomaly detection, machine learning, and integrated threat intelligence to identify and classify threats and provide actionable insights that include the affected resources, attacker IP address, and geolocation?

A. Amazon Inspector
B. Amazon GuardDuty
C. Amazon Macie
D. Amazon Security Hub

Answer: B

Explanation:
Amazon GuardDuty: It is a threat detection service that continuously monitors for malicious activity and unauthorized behavior across your AWS accounts and workloads1.
Anomaly Detection: GuardDuty uses anomaly detection to monitor for unusual behavior that may indicate a threat1.
Machine Learning: It employs machine learning to better identify threat patterns and reduce false positives1.
Integrated Threat Intelligence: The service utilizes threat intelligence feeds from AWS and leading third parties to identify known threats1.
Actionable Insights: GuardDuty provides detailed findings that include information about the nature of the threat, the affected resources, the attacker's IP address, and geolocation1.
Protection Scope: It protects against a wide range of threats, including compromised instances, reconnaissance by attackers, account compromise risks, and instance compromise risks1.
Reference:
AWS's official documentation on Amazon GuardDuty1.

NEW QUESTION # 84
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