312-40 PASS-SURE CRAM - 312-40 QUIZ GUIDE & 312-40 EXAM TORRENT

312-40 Pass-Sure Cram - 312-40 Quiz Guide & 312-40 Exam Torrent

312-40 Pass-Sure Cram - 312-40 Quiz Guide & 312-40 Exam Torrent

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EC-COUNCIL 312-40 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • Incident Detection and Response in the Cloud: This topic focuses on various aspects of incident response.
Topic 3
  • 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 4
  • Business Continuity and Disaster Recovery in the Cloud: It highlights the significance of business continuity and planning of disaster recovery in IR.
Topic 5
  • Platform and Infrastructure Security in the Cloud: It explores key technologies and components that form a cloud architecture.
Topic 6
  • Introduction to Cloud Security: This topic covers core concepts of cloud computing, cloud-based threats, cloud service models, and vulnerabilities.
Topic 7
  • Standards, Policies, and Legal Issues in the Cloud: The topic discusses different legal issues, policies, and standards that are associated with the cloud.
Topic 8
  • Penetration Testing in the Cloud: It demonstrates how to implement comprehensive penetration testing to assess the security of a company’s cloud infrastructure.

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EC-COUNCIL EC-Council Certified Cloud Security Engineer (CCSE) Sample Questions (Q126-Q131):

NEW QUESTION # 126
A multinational company decided to shift its organizational infrastructure and data to the cloud. Their team finalized the service provider. Which of the following is a contract that can define the security standards agreed upon by the service provider to maintain the security of the organizational data and infrastructure and define organizational data compliance?

  • A. Compliance Agreement
  • B. Service Agreement
  • C. Service Level Contract
  • D. Service Level Agreement

Answer: D

Explanation:
Service Level Agreement (SLA): An SLA is a contract between a service provider and the customer that specifies, usually in measurable terms, what services the service provider will furnish1.
Security Standards in SLAs: SLAs often include security standards that the service provider agrees to maintain. This can cover various aspects such as data encryption, access controls, and incident response times1.
Data Compliance: The SLA can also define compliance with relevant regulations and standards, ensuring that the service provider adheres to laws such as GDPR, HIPAA, or industry-specific guidelines2.
Alignment with Business Needs: By clearly stating the security measures and compliance standards, an SLA helps ensure that the cloud services align with the multinational company's business needs and regulatory requirements1.
Other Options: While service agreements and contracts may contain similar terms, the term "Service Level Agreement" is specifically used in the context of IT services to define performance and quality metrics, making it the most appropriate choice for defining security standards and compliance in cloud services1.
Reference:
DigitalOcean's article on Cloud Compliance1.
CrowdStrike's guide on Cloud Compliance2.


NEW QUESTION # 127
GlobalCloud is a cloud service provider that offers various cloud-based secure and cost-effective services to cloud consumers. The customer base of this organization increased within a short period; thus, external auditing was performed on GlobalCloud. The auditor used spreadsheets, databases, and data analyzing software to analyze a large volume of dat a. Based on the given information, which cloud-based audit method was used by the auditor to collect the objective evidence?

  • A. Striping
  • B. CAAT
  • C. Re-Performance
  • D. Gap Analysis

Answer: B

Explanation:
Computer-Assisted Audit Techniques (CAATs) are tools and methods used by auditors to analyze large volumes of data efficiently and effectively. The use of spreadsheets, databases, and data analyzing software to scrutinize a large volume of data and collect objective evidence is indicative of CAATs.
Here's how CAATs operate in this context:
Data Analysis: CAATs enable auditors to handle and analyze large datasets that would be impractical to assess manually.
Efficiency: These techniques improve audit efficiency by automating certain parts of the audit process.
Effectiveness: CAATs enhance the effectiveness of audits by allowing auditors to identify trends, anomalies, and patterns in the data.
Software Utilization: The use of specialized audit software is a hallmark of CAATs, enabling auditors to perform complex analyses.
Objective Evidence: CAATs help in collecting objective evidence by providing a transparent and systematic approach to data analysis.
Reference:
An article defining CAATs and discussing their advantages and disadvantages1.
A resource explaining the role and benefits of CAATs in auditing information systems2.
A publication detailing how CAATs allow auditors to independently access and test the reliability of client systems3.


NEW QUESTION # 128
Chris Noth has been working as a senior cloud security engineer in CloudAppSec Private Ltd. His organization has selected a DRaaS (Disaster Recovery as a Service) company to provide a disaster recovery site that is fault tolerant and consists of fully redundant equipment with network connectivity and real-time data synchronization. Thus, if a disaster strikes Chris' organization, failover can be performed to the disaster recovery site with minimal downtime and zero data loss. Based on the given information, which disaster recovery site is provided by the DRaaS company to Chris' organization?

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

Answer: D

Explanation:
Disaster Recovery as a Service (DRaaS): DRaaS is a third-party service that provides organizations with a secondary site infrastructure, which employs cloud computing for application and data recovery from synchronous or asynchronous replication1.
Fault Tolerance and Redundancy: A fault-tolerant disaster recovery site with fully redundant equipment ensures that all critical systems and components have backups ready to take over in case of failure1.
Real-Time Data Synchronization: This feature ensures that data is continuously mirrored to the disaster recovery site, allowing for real-time recovery and zero data loss during failover1.
Hot Site: A hot site is a fully operational offsite data center equipped with hardware and software, network connectivity, and real-time data synchronization. It is ready to assume operation at a moment's notice, which aligns with the description provided1.
Minimal Downtime: The use of a hot site allows for minimal downtime during a disaster, as the site is already running and can take over immediately without the need to set up or configure equipment1.
Reference:
Flexential's explanation of Disaster Recovery as a Service (DRaaS)1.


NEW QUESTION # 129
Jack Jensen works as a cloud security engineer in an IT company located in Madison, Wisconsin. Owing to the various security services provided by Google, in 2012, his organization adopted Google cloud-based services.
Jack would like to identify security abnormalities to secure his organizational data and workload. Which of the following is a built-in feature in the Security Command Center that utilizes behavioral signals to detect security abnormalities such as unusual activity and leaked credentials in virtual machines or GCP projects?

  • A. Cloud Armor
  • B. Security Health Analytics
  • C. Anomaly Detector
  • D. Cloud Anomaly Detection

Answer: B

Explanation:
The Security Command Center (SCC) in Google Cloud provides various services to detect and manage security risks. Among the options provided, Security Health Analytics is the built-in feature that utilizes behavioral signals to detect security abnormalities.
* Security Health Analytics: It is a service within SCC that performs automated security scans of Google Cloud resources to detect misconfigurations and compliance violations with respect to established security benchmarks1.
* Detection Capabilities: Security Health Analytics can identify a range of security issues, including misconfigured network settings, insufficient access controls, and potential data exfiltration activities. It helps in detecting unusual activity that could indicate a security threat1.
* Behavioral Signals: By analyzing behavioral signals, Security Health Analytics can detect anomalies that may signify leaked credentials or other security risks in virtual machines or GCP projects1.
* Why Not the Others?:
* Anomaly Detector is not a specific feature within SCC.
* Cloud Armor is primarily a network security service that provides protection against DDoS attacks and other web-based threats, not specifically for detecting security abnormalities based on behavioral signals.
* Cloud Anomaly Detection is not listed as a built-in feature in the SCC documentation.
References:
* Google Cloud Documentation: Security Command Center overview1.
* Google Cloud Blog: Investigate threats surfaced in Google Cloud's Security Command Center2.
* Making Science Blog: Security Command Center: Strengthen your company's security with Google Cloud3.


NEW QUESTION # 130
Assume you work for an IT company that collects user behavior data from an e-commerce web application. This data includes the user interactions with the applications, such as purchases, searches, saved items, etc. Capture this data, transform it into zip files, and load these massive volumes of zip files received from an application into Amazon S3. Which AWS service would you use to do this?

  • A. AWS Migration Hub
  • B. AWS Kinesis Data Firehose
  • C. AWS Snowmobile
  • D. AWS Database Migration Service

Answer: B

Explanation:
To handle the collection, transformation, and loading of user behavior data into Amazon S3, AWS Kinesis Data Firehose is the suitable service. Here's how it works:
Data Collection: Kinesis Data Firehose collects streaming data in real-time from various sources, including web applications that track user interactions.
Data Transformation: It can transform incoming streaming data using AWS Lambda, which can include converting data into zip files if necessary1.
Loading to Amazon S3: After transformation, Kinesis Data Firehose automatically loads the data into Amazon S3, handling massive volumes efficiently and reliably1.
Real-time Processing: The service allows for the real-time processing of data, which is essential for capturing dynamic user behavior data.
Reference:
AWS Kinesis Data Firehose is designed to capture, transform, and load streaming data into AWS data stores for near real-time analytics with existing business intelligence tools and dashboards1. It's a fully managed service that scales automatically to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading, reducing the amount of storage used at the destination and increasing security1.


NEW QUESTION # 131
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