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EC-COUNCIL 312-40 Exam Syllabus Topics:

Topic
Details

Topic 1

• 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 2

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

Topic 3

• 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 4

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

Topic 5

• 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 6

• 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 7

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

Topic 8

• Forensic Investigation in the Cloud: This topic is related to the forensic investigation process in cloud computing. It includes data collection methods and cloud forensic challenges.

Topic 9

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

 

EC-COUNCIL EC-Council Certified Cloud Security Engineer (CCSE) Sample Questions (Q14-Q19):

NEW QUESTION # 14
Allen Smith works as a cloud security engineer in a multinational company. Using an intrusion detection system, the incident response team of this company identified that an attacker has been continuously attacking the organization's AWS services. The team leader asked Allen to track the changes made to AWS resources and perform security analysis. Which AWS service can provide the AWS API call history for AWS accounts, including calls made via the AWS Management Console or Command Line tools, AWS Software Development Kits, and other AWS services to Allen?

• A. AWS CloudFormation
• B. Amazon CloudFront
• C. Amazon CloudWatch
• D. Amazon CloudTrail

Answer: D

Explanation:
Amazon CloudTrail: AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account1.
API Call History: It provides an event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, and other AWS services1.
Security Analysis: The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing1.
Operational Auditing: CloudTrail continuously monitors and logs account activity across all AWS services, including actions taken by a user, role, or AWS service1.
Compliance Auditing: CloudTrail logs provide detailed records of all API calls, which can be used to audit compliance with regulatory standards like HIPAA and PCI2.
Reference:
AWS Security Hub documentation on CloudTrail controls1.
Medium article on exploring AWS CloudTrail2.

 

NEW QUESTION # 15
Scott Herman works as a cloud security engineer in an IT company. His organization has deployed a 3-tier web application in the same Google Cloud Virtual Private Cloud. Each tier (web interface (UI), API, and database) is scaled independently of others. Scott Herman obtained a requirement that the network traffic should always access the database using the API and any request coming directly from the web interface to the database should not be allowed. How should Scott configure the network with minimal steps?

• A. By adding tags to each tier and setting up firewall rules to allow the desired traffic flow
• B. By adding each tier to a different subnetwork
• C. By adding tags to each tier and setting up routes to allow the desired traffic flow
• D. By setting up software-based firewalls on individual VMs

Answer: A

Explanation:
In Google Cloud Virtual Private Cloud (VPC), network tags are used to apply firewall rules to specific instances. Scott can use these tags to control the traffic flow between the tiers of the web application. Here's how he can configure the network:
* Assign Network Tags: Assign unique network tags to the instances in each tier - for example, 'ui-tag' for the web interface, 'api-tag' for the API, and 'db-tag' for the database.
* Create Firewall Rules: Create firewall rules that allow traffic from the API tier to the database tier by specifying the 'api-tag' as the source filter and 'db-tag' as the target filter.
* Restrict Direct Access: Ensure that there are no rules allowing direct traffic from the 'ui-tag' to the
'db-tag', effectively blocking any direct requests from the web interface to the database.
* Apply Rules: Apply the firewall rules to the respective instances based on their tags.
By using network tags and firewall rules, Scott can ensure that the database is only accessible via the API, and direct access from the UI is not permitted.
References:
* Google Cloud documentation on setting up firewall rules and using network tags1.

 

NEW QUESTION # 16
Global SoftTechSol is a multinational company that provides customized software solutions and services to various clients located in different countries. It uses a public cloud to host its applications and services. Global SoftTechSol uses Cloud Debugger to inspect the current state of a running application in real-time, find bugs, and understand the behavior of the code in production. Identify the service provider that provides the Cloud Debugger feature to Global SoftTechSol?

• A. Azure
• B. IBM
• C. Google
• D. AWS

Answer: C

Explanation:
Cloud Debugger is a feature provided by Google Cloud that allows developers to inspect the state of a running application in real-time. It is used to find bugs and understand the behavior of code in production without stopping or slowing down the application.
Here's how Cloud Debugger works for Global SoftTechSol:
Real-Time Inspection: Developers can take a snapshot of an application at any point in time to capture its state, including call stacks, variables, and expressions.
Non-Disruptive: Cloud Debugger operates without affecting the performance of the application, allowing debugging in production.
Code Understanding: It helps developers understand the behavior of their code under real-world conditions.
Integration: Cloud Debugger is integrated with other Google Cloud services, providing a seamless debugging experience.
Security: It ensures that sensitive data is protected during the debugging process.
Reference:
Google Cloud documentation on Cloud Debugger1.
A blog post by Google Cloud detailing the capabilities of Cloud Debugger2.

 

NEW QUESTION # 17
Michael Keaton has been working as a cloud security specialist in a multinational company. His organization uses Google Cloud. Keaton has launched an application in nl-standard-1 (1 vCPU, 3.75 GB memory) instance.
Over the past three weeks, the instance has had low memory utilization. Which of the following machine type switching is recommended for Keaton?

• A. gl-small (1 vCPU, 1.7 GB memory)
• B. n1-standard-1 (1 vCPU, 3.75 GB memory)
• C. nl-standard-2 (2 vCPU, 7.5 GB memory)
• D. fl-micro (1 vCPU, 614 GB memory)

Answer: A

Explanation:
Given that Michael Keaton's nl-standard-1 instance has had low memory utilization, the recommended machine type switching would be to a machine type that is more cost-effective while still meeting the application's requirements.
Assessing Current Utilization: Keaton's current machine type, nl-standard-1, has 1 vCPU and 3.75 GB memory. The low memory utilization suggests that the application does not require the full 3.75 GB of memory provided by this machine type.
Choosing the Right Machine Type: Among the options provided:
Option A, g1-small, offers 1 vCPU and 1.7 GB memory, which is a step down in memory but still provides a sufficient amount of memory for the application given its low memory usage.
Option B, n1-standard-2, increases both the vCPU and memory, which is not necessary given the low utilization.
Option C, f1-micro, offers a very minimal amount of memory (614 MB), which might be too low for the application's needs.
Option D, n1-standard-1, maintains the same memory as the current machine type and therefore does not optimize for the low memory utilization.
Recommendation: Based on the low memory utilization and the need to optimize costs, the g1-small machine type (Option A) is recommended. It provides enough memory for the application's needs while reducing costs associated with unused resources.
Reference:
Google Cloud Documentation: Understanding machine types1.
Google Cloud Documentation: Machine type recommendations2.
Google Cloud Documentation: Memory-optimized machine family3.

 

NEW QUESTION # 18
Kevin Williamson has been working as a cloud security engineer in a startup IT company. The business performed by his organization does not require live updating. A DRaaS company provided a disaster recovery site to Kevin's organization with little or no equipment, backup services with no network connectivity, it does not perform automatic failover. and involves data synchronization with a high risk of data loss. Based on the given information, which of the following disaster recovery sites is provided by the DRaaS company to Kevin's organization?

• A. Remote site
• B. Cold Site
• C. Hot Site
• D. Warm Site

Answer: B

Explanation:
Cold Site: A cold site is a disaster recovery site with minimal infrastructure. It typically has little or no equipment, no live network connectivity, and no automatic failover. Data synchronization might involve significant delays, and there is a higher risk of data loss compared to hot or warm sites. Cold sites are cost-effective but require more time to become operational during a disaster.
Hot Site: A fully operational site with real-time data replication, live network connectivity, and immediate failover capability. It is designed for minimal downtime and data loss but is expensive to maintain.
Warm Site: A partially equipped site that has some equipment and network connectivity but does not have real-time data replication or full automatic failover. It offers a middle ground between cost and recovery time.
Remote Site: This term can sometimes be used generically for any off-site disaster recovery location, but it does not describe the specific characteristics of the site provided in this scenario.
Since the DRaaS company provided a site with minimal equipment, no network connectivity, no automatic failover, and a high risk of data loss, it fits the definition of a Cold Site.

 

NEW QUESTION # 19
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