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EC-COUNCIL 312-40 Exam Overview:

Certification Vendor:EC-Council
Exam Name:EC-Council Certified Cloud Security Engineer (CCSE)
Exam Number:312-40
Certificate Validity Period:3 years
Exam Duration:240 (4 hours)
Exam Price:USD 500
Available Languages:English
Passing Score:70%
Real Exam Qty:150
Related Certifications:CSA (Certified Security Analyst)
CISE (Certified Information Security Engineer)
CEH (Certified Ethical Hacker)
Exam Format:Scenario-based Questions, Multiple Choice, Hands-on Practical
Sample Questions:EC-COUNCIL 312-40 Sample Questions
Exam Way:Online Proctored / Physical Testing Center
Pre Condition:Recommended: CEH (312-50) or equivalent network/security experience. Knowledge of networking, operating systems, and basic cloud concepts is highly recommended.
Official Syllabus URL:https://www.eccouncil.org/certifications/ccse

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EC-COUNCIL 312-40 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Standards, Policies, and Legal Issues in the Cloud: The topic discusses different legal issues, policies, and standards that are associated with the cloud.
Topic 2
  • 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 3
  • 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 4
  • 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 5
  • Platform and Infrastructure Security in the Cloud: It explores key technologies and components that form a cloud architecture.
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
  • 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
  • Penetration Testing in the Cloud: It demonstrates how to implement comprehensive penetration testing to assess the security of a companyโ€™s cloud infrastructure.

EC-COUNCIL EC-Council Certified Cloud Security Engineer (CCSE) Sample Questions (Q62-Q67):

NEW QUESTION # 62
Katie Holmes has been working as a cloud security engineer over the past 7 years in an MNC. Since the outbreak of the COVID-19 pandemic, the cloud service provider could not provide cloud services efficiently to her organization. Therefore, Katie suggested to the management that they should design and build their own data center. Katie's requisition was approved, and after 8 months, Katie's team successfully designed and built an on-premises data center. The data center meets all organizational requirements; however, the capacity components are not redundant. If a component is removed, the data center comes to a halt. Which tier data center was designed and constructed by Katie's team?

Answer: A

Explanation:

Data center
Explore
The data center designed and constructed by Katie Holmes' team is a Tier I data center based on the description provided.
* Tier I Data Center: A Tier I data center is characterized by a single path for power and cooling and no redundant components. It provides an improved environment over a simple office setting but is susceptible to disruptions from both planned and unplanned activity1.
* Lack of Redundancy: The fact that removing a component brings the data center to a halt indicates there is no redundancy in place. This is a defining characteristic of a Tier I data center, which has no built-in redundancy to allow for maintenance without affecting operations1.
* Operational Aspects:
* Uptime: A Tier I data center typically has an uptime of 99.671%.
* Maintenance: Any maintenance or unplanned outages will likely result in downtime, as there are no alternate paths or components to take over the load1.
References:
* Data centre tiers - Wikipedia1.


NEW QUESTION # 63
James Harden works as a cloud security engineer in an IT company. James' organization has adopted a RaaS architectural model in which the production application is placed in the cloud and the recovery or backup target is kept in the private data center. Based on the given information, which RaaS architectural model is implemented in James' organization?

Answer: B

Explanation:
The RaaS (Recovery as a Service) architectural model described, where the production application is placed in the cloud and the recovery or backup target is kept in the private data center, is known as "From-cloud RaaS." This model is designed for organizations that want to utilize cloud resources for their primary operations while maintaining their disaster recovery systems on-premises.
Here's how the From-cloud RaaS model works:
Cloud Production Environment: The primary production application runs in the cloud, taking advantage of the cloud's scalability and flexibility.
On-Premises Recovery: The disaster recovery site is located in the organization's private data center, not in the cloud.
Data Replication: Data is replicated from the cloud to the on-premises data center to ensure that the backup is up-to-date.
Disaster Recovery: In the event of a disaster affecting the cloud environment, the organization can recover its applications and data from the on-premises backup.
Control and Compliance: This model allows organizations to maintain greater control over their recovery processes and meet specific compliance requirements that may not be fully addressed in the cloud.
Reference:
Industry guidelines on RaaS architectural models, explaining the different approaches including From-cloud RaaS.
A white paper discussing the benefits and considerations of various RaaS deployment models for organizations.


NEW QUESTION # 64
A company is a third-party vendor for several organizations and provides them customized software and products to cater to their needs. It recently moved its infrastructure and applications on cloud. Its applications are not working on the cloud as expected. The developers and testers are experiencing significant difficulty in managing and deploying the code in the cloud. Which of the following will help them with automated integration, development, testing, and deployment in the cloud?

Answer: B

Explanation:
For a company that provides customized software and products and has recently moved its infrastructure and applications to the cloud, the best option to help with automated integration, development, testing, and deployment in the cloud is DevOps.
Understanding DevOps: DevOps is a set of practices that combines software development (Dev) and IT operations (Ops). It aims to shorten the systems development life cycle and provide continuous delivery with high software quality1.
Automated Processes: DevOps encourages automating the software delivery process, which includes:
Continuous Integration (CI): Developers merge code changes into a central repository, after which automated builds and tests are run.
Continuous Delivery (CD): The code changes are automatically built, tested, and prepared for a release to production.
Continuous Deployment: This goes one step further than continuous delivery. Every change that passes all stages of the production pipeline is released to customers. There's no human intervention, and only a failed test will prevent a new change to be deployed to production1.
Benefits of DevOps:
Improved Collaboration: DevOps practices encourage collaboration between development and operations teams, resulting in better communication and collaboration.
Increased Efficiency: Automation and consistency help your team do more, in less time, with significantly fewer bugs.
Faster Resolution of Problems: Continuous monitoring and automated testing mean you can identify and address bugs more quickly, often before they become a problem for users1.
Why Not the Others?:
A vulnerability assessment tool is used for identifying and assessing the vulnerabilities in a system, not for deployment.
SIEM (Security Information and Event Management) is used for real-time analysis of security alerts generated by applications and network hardware, not for deployment.
A dashboard is a type of graphical user interface that provides an overview of a system's key performance indicators, not for deployment.
Reference:
Google Cloud Architecture Center: Application deployment and testing strategies2.
Google Cloud Architecture Center: Automate your deployments1.
IBM Cloud Learn Hub: What is Cloud Automation?3.


NEW QUESTION # 65
Martin Sheen is a senior cloud security engineer in SecGlob Cloud Pvt. Ltd. Since 2012, his organization has been using AWS cloud-based services. Using an intrusion detection system and antivirus software, Martin noticed that an attacker is trying to breach the security of his organization. Therefore, Martin would like to identify and protect the sensitive data of his organization. He requires a fully managed data security service that supports S3 storage and provides an inventory of publicly shared buckets, unencrypted buckets, and the buckets shared with AWS accounts outside his organization. Which of the following Amazon services fulfills Martin's requirement?

Answer: A

Explanation:

Amazon S3
Explore
Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data in AWS. It is specifically designed to support Amazon S3 storage and provides an inventory of S3 buckets, helping organizations like SecGlob Cloud Pvt. Ltd. to identify and protect their sensitive data.
Here's how Amazon Macie fulfills Martin's requirements:
* Sensitive Data Identification: Macie automatically and continuously discovers sensitive data, such as personally identifiable information (PII), in S3 buckets.
* Inventory and Monitoring: It provides an inventory of S3 buckets, detailing which are publicly accessible, unencrypted, or shared with accounts outside the organization.
* Alerts and Reporting: Macie generates detailed alerts and reports when it detects unauthorized access or inadvertent data leaks.
* Data Security Posture: It helps improve the data security posture by providing actionable recommendations for securing S3 buckets.
* Compliance Support: Macie aids in compliance efforts by monitoring data access patterns and ensuring that sensitive data is handled according to policy.
References:
* AWS documentation on Amazon Macie, which outlines its capabilities for protecting sensitive data in S31.
* An AWS blog post discussing how Macie can be used to identify and protect sensitive data in S3 buckets1.


NEW QUESTION # 66
Which of the following is the primary purpose of implementing a Cloud Workload Protection Platform (CWPP)?

Answer: C

Explanation:
A Cloud Workload Protection Platform (CWPP) is designed to provide continuous visibility, threat detection, and protection for workloads including virtual machines, containers, and serverless functions across hybrid and multi-cloud environments.


NEW QUESTION # 67
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