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312-40 Practice Questions

Question # 1
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 Database Migration Service
C. AWS Kinesis Data Firehose
D. AWS Snowmobile


C. AWS Kinesis Data Firehose

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.

References:

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.


Question # 2
Chris Evans has been working as a cloud security engineer in a multinational company over the past 3 years. His organization has been using cloud-based services. Chris uses key vault as a key management solution because it offers easier creation of encryption keys and control over them. Which of the following public cloud service providers allows Chris to do so?
A. AWS
B. Azure
C. GCP
D. Oracle


B. Azure



Question # 3
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. Amazon CloudFront
B. AWS CloudFormation
C. Amazon CloudTrail
D. Amazon CloudWatch


C. Amazon CloudTrail



Question # 4
Jordon Bridges has been working as a senior cloud security engineer in a multinational company. His organization uses Google cloud-based services. Jordon stored his organizational data in the bucket and named the bucket in the Google cloud storage following the guidelines for bucket naming. Which of the following is a valid bucket name given by Jordon?
A. company-storage-data
B. Company-storage-data
C. Company-Storage-Data
D. company storage data


A. company-storage-data



Question # 5
An organization uses AWS for its operations. It is observed that the organization's EC2 instance is communicating with a suspicious port. Forensic investigators need to understand the patterns of the current security breach. Which log source on the AWS platform can provide investigators with data of evidentiary value during their investigation?
A. Amazon CloudTrail
B. Amazon CloudWatch
C. Amazon VPC flow logs
D. S3 Server Access Logs


C. Amazon VPC flow logs

Explanation: Understanding the Incident: When an EC2 instance communicates with a suspicious port, it’s crucial to analyze network traffic to understand the patterns of the security breach1.
Log Sources for Forensic Investigation: AWS provides several log sources that can be used for forensic investigations, including AWS CloudTrail, AWS Config, VPC Flow Logs, and host-level logs1.
Amazon VPC Flow Logs: These logs capture information about the IP traffic going to and from network interfaces in a Virtual Private Cloud (VPC). They are particularly useful for understanding network-level interactions, which is essential in this case1.
Evidentiary Value: VPC flow logs can provide data with evidentiary value, showing the source, destination, and protocol used in the network traffic, which can help investigators identify patterns related to the security breach1.
Other Log Sources: While Amazon CloudTrail and Amazon CloudWatch provide valuable information on user activities and metrics, respectively, they do not offer the detailed network traffic insights needed for this specific forensic investigation1.
References: AWS Security Incident Response Guide’s section on Forensics on AWS1.


Question # 6
Daffod is an American cloud service provider that provides cloud-based services to customers worldwide. Several customers are adopting the cloud services provided by Daffod because they are secure and cost-effective. Daffod is compliant with the cloud computing law that protects the student information collected by educational institutions and their associated vendors. Based on the information given, which law does Daffod adhere to?
A. ECPA
B. FERPA
C. CLOUD
D. FISMA


B. FERPA



Question # 7
Georgia Lyman is a cloud security engineer; she wants to detect unusual activities in her organizational Azure account. For this, she wants to create alerts for unauthorized activities with their severity level to prioritize the alert that should be investigated first. Which Azure service can help her in detecting the severity and creating alerts?

A. Windows Defender
B. Cloud Operations Suite
C. Microsoft Defender for Cloud
D. Cloud DLP


C. Microsoft Defender for Cloud

Explanation:

Microsoft Defender for Cloud is the service that can assist Georgia Lyman in detecting unusual activities within her organizational Azure account and creating alerts with severity levels.

Detection of Unusual Activities: Microsoft Defender for Cloud provides advanced threat protection, which includes the detection of unusual activities based on behavioral analytics and anomaly detection1.

Alert Creation: It allows the creation of custom alerts for unauthorized activities, which can be configured with specific severity levels to prioritize the investigation process1.

Severity Level Prioritization: The service enables setting severity levels for alerts, ensuring that high-priority issues are analyzed first and appropriate actions are taken in a timely manner2.

Monitoring and Management: With Microsoft Defender for Cloud, Georgia can view and manage the security posture of her Azure resources from a single centralized dashboard, making it easier to monitor and respond to potential threats1.

References:

Microsoft Defender for Cloud is an integrated tool for Azure security management, providing threat protection, alerting, and security posture management across Azure services1. It is designed to help cloud security engineers like Georgia Lyman detect and respond to security threats effectively.


Question # 8
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


B. Amazon GuardDuty

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.

References:

AWS’s official documentation on Amazon GuardDuty1.


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ECCouncil 312-40 Exam Dumps

Exam Name: EC-Council Certified Cloud Security Engineer (CCSE)
Certification Name: Certified Cloud Security Engineer (CCSE)

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