ECCouncil EC-Council Certified Cloud Security Engineer (CCSE) 312-40 Exam Dumps: Updated Questions & Answers (October 2025)

To reduce the risk of man-in-the-middle attacks in all Redshift clusters, Luke Grimes should enable the require_ssl parameter. This setting ensures that connections to Amazon Redshift clusters are required to use encryption in transit, which is crucial for securing data and preventing eavesdropping or manipulation of network traffic.

SSL (Secure Sockets Layer): SSL is a standard security technology for establishing an encrypted link between a server and a client—typically a web server (website) and a browser, or a mail server and a mail client1.

require_ssl Parameter: By setting the require_ssl parameter to true, Luke will enforce that all connections to the Redshift clusters use SSL encryption. This helps to protect against man-in-the-middle attacks by encrypting the data as it travels between the client and the Redshift cluster2.

Implementation Steps:

Navigate to the Redshift service in the AWS Management Console.

Select the appropriate cluster and go to its properties.

Under the database configurations, locate the Parameter group settings.

Edit the parameters and set require_ssl to true.

Save the changes to enforce SSL for all connections to the cluster.

References:

AWS Security Hub: Amazon Redshift controls1.

AWS RedShift Enforce SSL | Security Best Practice2.

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.

References:

Google Cloud Documentation: Understanding machine types1.

Google Cloud Documentation: Machine type recommendations2.

Google Cloud Documentation: Memory-optimized machine family3.

Step by Step Comprehensive Detailed Explanation:Amazon Route 53 can provide DNS failover capabilities and health checks to ensure the availability of SecureInfo Pvt. Ltd.'s website. Here’s how it works:

Health Checks: Route 53 performs health checks on the website to monitor its health and performance1.

DNS Failover: If the primary site becomes unresponsive, Route 53 can automatically route traffic to a healthy backup site1.

Regular Examination: The health checks can be configured to run at regular intervals, ensuring continuous monitoring of the website’s availability1.

Traffic Routing: Route 53 uses DNS failover records to manage traffic failover for the application, directing users to the best available endpoint1.

References:Amazon Route 53 is a scalable and highly available Domain Name System (DNS) web service. It is designed to give developers and businesses an extremely reliable and cost-effective way to route end users to Internet applications by translating human-readable names like www.example.com into the numeric IP addresses like 192.0.2.1 that computers use to connect to each other 1. Route 53 is fully compliant with IPv6 as well1.

To monitor the organization’s cloud logging stream and detect security breaches, Veronica Lauren can utilize the Event Threat Detection service within Google Security Command Center.

Event Threat Detection: This built-in service of Google Security Command Center is designed to monitor cloud logs across multiple projects and detect threats such as malware, brute force SSH attempts, and cryptomining1. It uses threat intelligence and advanced analytics to identify and alert on suspicious activity in real time.

Functionality:

Log Analysis: Event Threat Detection continuously analyzes the logs generated by Google Cloud services.

Threat Detection: It automatically detects the presence of threats like malware, SSH brute force attempts, and cryptomining activities.

Alerts and Findings: When a potential threat is detected, Event Threat Detection issues findings that are integrated into the Security Command Center dashboard for further investigation.

Why Not the Others?:

Web Security Scanner: This service is primarily used for identifying security vulnerabilities in web applications hosted on Google Cloud, not for monitoring logs for security breaches.

Container Threat Detection: While this service is useful for detecting runtime threats in containers, it does not provide the broad log analysis capabilities that Event Threat Detection offers.

Security Health Analytics: This service provides automated security scanning to detect misconfigurations and compliance violations in Google Cloud resources, but it is not specifically focused on the real-time threat detection provided by Event Threat Detection.

References:

Security Command Center overview | Google Cloud1.

Crypto-shredding is the method of ‘deleting’ encrypted data by destroying the encryption keys. This method is particularly useful in cloud environments where physical destruction of storage media is not feasible. By deleting the keys used to encrypt the data, the data itself becomes inaccessible and is effectively considered deleted.

Here’s how crypto-shredding works:

Encryption: Data is encrypted using cryptographic keys, which are essential for decrypting the data to make it readable.

Key Management: The keys are managed separately from the data, often in a secure key management system.

Deletion of Keys: When instructed to delete the data, instead of trying to erase the actual data, the encryption keys are deleted.

Data Inaccessibility: Without the keys, the encrypted data cannot be decrypted, rendering it unreadable and unrecoverable.

Compliance: This method helps organizations comply with data protection regulations that require secure deletion of personal data.

References:

A technical paper discussing the concept of crypto-shredding as a method for secure deletion of data in cloud environments.

An industry article explaining how crypto-shredding is used to meet data privacy requirements, especially in cloud storage scenarios.

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.

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.

In risk management, the approach that can compensate an organization for the loss of sensitive data due to the risks of an activity is known as risk transference.

Risk Transference: This approach involves transferring the risk to a third party, typically through insurance or outsourcing. In the context of data loss, an organization can purchase a cyber insurance policy that would provide financial compensation in the event of a data breach or loss1.

How It Works:

Insurance Policies: Cyber insurance policies can cover various costs associated with data breaches, including legal fees, notification costs, and even the expenses related to public relations efforts to manage the reputation damage.

Contracts and Agreements: When outsourcing services or functions that involve sensitive data, contracts can include clauses that hold the service provider responsible for any data loss or breaches, effectively transferring the risk away from the organization.

Benefits of Risk Transference:

Financial Protection: Provides a financial safety net that helps the organization recover from the loss without bearing the entire cost.

Focus on Core Business: Allows the organization to focus on its core activities without the need to allocate excessive resources to manage specific risks.

References:

Key Considerations in Protecting Sensitive Data Leakage Using Data Loss Prevention Tools1.

Data Risk Management: Process and Best Practices2.