CLO-002 Leak Questions

 Load testing is the technique that helps an organization determine benchmarks for application performance within a set of resources. Load testing is the process of simulating a high volume of user requests or traffic to a cloud application or service, and measuring its response time, throughput, availability, and reliability. Load testing can help an organization to evaluate the performance and scalability of the cloud application or service, as well as to identify and resolve any bottlenecks, errors, or failures. Load testing can also help the organization to optimize the resource utilization and allocation, and to plan for future growth or peak demand. Load testing can be done using various tools, such as JMeter, LoadRunner, or BlazeMeter12

References: CompTIA Cloud Essentials+ Certification Exam Objectives3, CompTIA Cloud Essentials+ Study Guide, Chapter 6: Cloud Connectivity and Load Balancing4, Cloud Essentials+ Certification Training2

Big Data is a term that refers to data sets that are too large, complex, or diverse to be processed by traditional methods1. Big Data is characterized by four V’s: volume, variety, velocity, and veracity2. Volume refers to the amount of data being generated and collected. Variety refers to the different types of data, such as structured, unstructured, or semi-structured. Velocity refers to the speed at which the data is created, processed, and analyzed. Veracity refers to the quality and reliability of the data.

References:

• Understanding The 4 V’s Of Big Data, Forbes
• Volume, velocity, and variety: Understanding the three V’s of big data, DataSource.ai

Encryption in transit is the process of protecting data from unauthorized access or modification while it is being transferred from one location to another, such as from an on-premises data center to a cloud service provider. Encryption in transit uses cryptographic techniques to scramble the data and make it unreadable to anyone who intercepts it, except for the intended recipient who has the key to decrypt it. Encryption in transit is one of the best approaches to optimize data security in an IaaS migration, as it reduces the risk of data breaches, tampering, or leakage during the data transfer. Encryption in transit can be implemented using various methods, such as Transport Layer Security (TLS), Secure Sockets Layer (SSL), Internet Protocol Security (IPsec), or Secure Shell (SSH).

Encryption in transit is different from other options, such as reviewing the risk register, performing a vulnerability scan, or performing server hardening. Reviewing the risk register is the process of identifying, analyzing, and prioritizing the potential threats and impacts to the data and the cloud environment. Performing a vulnerability scan is the process of detecting and assessing the weaknesses or flaws in the data and the cloud infrastructure that could be exploited by attackers. Performing server hardening is the process of applying security measures and configurations to the cloud servers to reduce their attack surface and improve their resilience. While these options are also important for data security, they do not directly address the data protection during the migration process, which is the focus of the question. References: What is encryption in transit? - Definition from WhatIs.com, Data Encryption in Transit Guidelines - UC Berkeley Security, Cloud Computing Security - CompTIA Cloud Essentials+ (CLO-002) Cert Guide

 A data sanitization policy is a document that defines how a cloud service provider (CSP) will permanently delete or destroy any data that belongs to its clients after the termination of the contract or the deletion of the service. Data sanitization is a process that ensures that the data is not recoverable by any means, even by advanced forensic tools. Data sanitization is important for cloud security and privacy, as it prevents unauthorized access, disclosure, or misuse of the data by the CSP or any third parties. A data sanitization policy can help the CSP demonstrate its compliance with the data protection laws and regulations, such as the General Data Protection Regulation (GDPR) or the Health Insurance Portability and Accountability Act (HIPAA), that may apply to its clients’ data. A data sanitization policy can also help the CSP build trust and confidence with its clients, as it assures them that their data will be handled securely and responsibly, and that they will have full control and ownership of their data. Therefore, option D is the best explanation of why a cloud provider would establish and publish a format data sanitization policy for its clients. Option A is incorrect because it does not explain why a cloud provider would establish and publish a format data sanitization policy for its clients, but rather how the provider will cleanse any data being imported during a cloud migration. Data cleansing is a process that improves the quality and accuracy of the data by removing or correcting any errors, inconsistencies, or duplicates. Data cleansing is not the same as data sanitization, as it does not involve deleting or destroying the data. Option B is incorrect because it does not explain why a cloud provider would establish and publish a format data sanitization policy for its clients, but rather how the CSP will handle malware infections that may impact systems housing client data. Malware is a malicious software that can harm or compromise the systems or data of the CSP or its clients. Malware prevention and detection are important aspects of cloud security, but they are not the same as data sanitization, as they do not involve deleting or destroying the data. Option C is incorrect because it does not explain why a cloud provider would establish and publish a format data sanitization policy for its clients, but rather how the CSP will provide a value add for clients that will assist in cleansing records at no additional charge. Data cleansing, as explained above, is a process that improves the quality and accuracy of the data, not a process that deletes or destroys the data. Data cleansing may or may not be offered by the CSP as a value-added service, but it is not the same as data sanitization, which is a mandatory and essential service for cloud security and privacy. References: CompTIA Cloud Essentials+ CLO-002 Study Guide, Chapter 5: Cloud Security Principles, Section 5.2: Data Security Concepts, Page 1471 and Data sanitization for cloud storage | Infosec