CISA-KR 문제 336
The best way to detect that a distributed denial of service (DDoS) attack is occurring is to use automated monitoring of logs. A DDoS attack disrupts the operations of a server, service, or network by flooding it with unwanted Internet traffic2. Automated monitoring of logs can help pinpoint potential DDoS attacks by analyzing network traffic patterns, monitoring traffic spikes or other unusual activity, and alerting administrators or security teams of any anomalies or malicious requests, protocols, or IP blocks3. Automated monitoring of logs can also help identify the source, type, and impact of the DDoS attack, and provide evidence for further investigation or mitigation.
The other options are not as effective as automated monitoring of logs for detecting DDoS attacks. Customer service complaints are an indirect and delayed indicator of a DDoS attack, as they rely on users reporting problems with accessing a website or service. Customer service complaints may also be caused by other factors unrelated to DDoS attacks, such as server errors or network issues. Server crashes are an extreme and undesirable indicator of a DDoS attack, as they indicate that the server has already been overwhelmed by the attack and has stopped functioning. Server crashes may also result in data loss or corruption, service disruption, or reputational damage. Penetration testing is a proactive and preventive measure for assessing the security posture of a system or network, but it does not detect ongoing DDoS attacks. Penetration testing may involve simulating DDoS attacks to test the resilience or vulnerability of a system or network, but it does not monitor real-time traffic or identify actual attackers.
References:
ISACA CISA Review Manual 27th Edition (2019), page 254
How to prevent DDoS attacks | Methods and tools | Cloudflare2
Understanding Denial-of-Service Attacks | CISA3
CISA-KR 문제 337
A virtual tape library (VTL) is a disk-based backup system that emulates a tape library. It provides faster backup and recovery than traditional tape systems, and it can be integrated with data deduplication and replication technologies to enhance disaster recovery. A VTL can also be replicated to an offsite location for additional protection. A VTL is the best disaster recovery solution for an environment where data virtualization is used, because it can handle large volumes of data, support multiple backup applications, and provide consistent performance.
Onsite disk-based backup systems (A) are not the best disaster recovery solution, because they are vulnerable to the same risks as the primary data center, such as fire, flood, power outage, or sabotage. Tape-based backup systems (B) are not the best disaster recovery solution, because they are slow, prone to errors, and require manual intervention. Redundant array of independent disks (RAID) (D) is not a backup system, but a storage technology that improves performance and fault tolerance by distributing data across multiple disks. RAID does not protect against data corruption, human error, or malicious attacks.
References:
Virtualization Disaster Recovery Overview: Definitions and Guides
Disaster Recovery Virtualization - VMware
What is Virtual Disaster Recovery? - Definition from Techopedia
How Does Virtualization Help With A Disaster Recovery Plan
CISA-KR 문제 338
The best control to mitigate attacks that redirect Internet traffic to an unauthorized website is to perform domain name system (DNS) server security hardening. DNS servers are responsible for resolving domain names into IP addresses, and they are often targeted by attackers who want to manipulate or spoof DNS records to redirect users to malicious websites4. By applying security best practices to DNS servers, such as encrypting DNS traffic, implementing DNSSEC, restricting access and updating patches, the organization can reduce the risk of DNS hijacking attacks. A network-based firewall, user security awareness training and a strong password policy are also important controls, but they are not as effective as DNS server security hardening in preventing this specific type of attack. References:
CISA Review Manual, 27th Edition, page 4021
CISA Review Questions, Answers & Explanations Database - 12 Month Subscription
CISA-KR 문제 339
The first thing that an IS auditor should review when finding that transaction processing times in an order processing system have significantly increased after a major release is stress testing results. Stress testing is a type of testing that evaluates how a system performs under extreme or abnormal conditions, such as high volume, load, or concurrency of transactions. Stress testing results can help explain why transaction processing times in an order processing system have significantly increased after a major release by revealing any bottlenecks, limitations, or errors in the system's capacity, performance, or functionality under stress. The other options are not as relevant as stress testing results in explaining why transaction processing times in an order processing system have significantly increased after a major release, as they do not directly measure how the system performs under extreme or abnormal conditions. Capacity management plan is a document that defines and implements the processes and activities for ensuring that the system has adequate resources and capabilities to meet current and future demands. Training plans are documents that define and implement the processes and activities for ensuring that the system users have adequate skills and knowledge to use the system effectively and efficiently. Database conversion results are outcomes or outputs of transforming data from one format or structure to another to suit the system's requirements or specifications. References: CISA Review Manual (Digital Version), Chapter 3, Section 3.3
CISA-KR 문제 340
Clustering is a technique that groups multiple servers or nodes together to act as one system, providing high availability, scalability, and load balancing for applications or services. Clustering can improve system resiliency, which is the ability of a system to withstand or recover from failures or disruptions without compromising its functionality or performance. Clustering can achieve this by providing redundancy and fault tolerance for critical components or processes, enabling automatic failover and recovery in case of node failures, distributing workload among multiple nodes to avoid overloading or bottlenecks, and allowing dynamic addition or removal of nodes to meet changing demand or capacity needs. Clustering may also decrease system response time by improving performance and efficiency through load balancing and parallel processing, but this is not its primary purpose. Clustering may facilitate faster backups by enabling concurrent backup operations across multiple nodes, but this is not its main benefit. Clustering may improve the recovery time objective (RTO), which is the maximum acceptable time for restoring a system or service after a disruption, by reducing the downtime and data loss caused by failures, but this is not the best reason for using clustering, as there may be other factors that affect the RTO, such as backup frequency, recovery procedures, and testing methods.
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