An IT strategic plan that best leverages IT in achieving organizational goals will include enterprise architecture (EA) impacts. EA is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies1. EA helps organizations structure IT projects and policies to align with business goals, to stay agile and resilient in the face of rapid change, and to stay on top of industry trends and disruptions1. EA also describes an organization's processes, information processes and personnel and other organizational subunits aligned with the organization's core goals and strategies2. By including EA impacts in the IT strategic plan, an organization can ensure that the IT initiatives are consistent with the business vision, objectives, and tactics, and that they support the desired business outcomes3.
A comparison of future needs against current capabilities, a risk-based ranking of projects, and IT budgets linked to the organization's budget are all important elements of an IT strategic plan, but they do not necessarily leverage IT in achieving organizational goals. A comparison of future needs against current capabilities can help identify gaps and opportunities for improvement, but it does not provide a clear direction or roadmap for how to achieve them. A risk-based ranking of projects can help prioritize the most critical and beneficial projects, but it does not ensure that they are aligned with the business strategy or that they deliver value to the stakeholders. IT budgets linked to the organization's budget can help allocate resources and monitor costs, but they do not reflect the impact or contribution of IT to the business performance or growth.
References:
Implement Agile IT Strategic Planning with Enterprise Architecture - The Open Group Blog What is enterprise architecture? A framework for transformation | CIO Strategic Planning and Enterprise Architecture

The most important thing to define within a disaster recovery plan (DRP) is the roles and responsibilities for recovery team members, as this ensures that everyone knows what to do, who to report to, and how to communicate in the event of a disaster. A business continuity plan (BCP) is a broader document that covers the overall strategy and objectives for maintaining or resuming business operations after a disaster. Test results for backup data restoration are important to verify the integrity and availability of backup data, but they are not part of the DRP itself. A comprehensive list of disaster recovery scenarios and priorities is useful to identify the potential risks and impacts of different types of disasters, but it is not as critical as defining the roles and responsibilities for recovery teammembers. References: CISA Review Manual (Digital Version), Chapter 4: Information Systems Operations, Maintenance and Service Management, Section 4.3: Disaster Recovery Planning1

Attribute sampling is a method of audit sampling that is used to test the effectiveness of controls by measuring the rate of deviation from a prescribed procedure or attribute. Attribute sampling is suitable for testing compliance with the data center's physical access log system, as the auditor can compare the identification document numbers and photos of the visitors with the records in the system and determine whether there are any discrepancies or errors. Attribute sampling can also provide an estimate of the deviation rate in the population and allow the auditor to draw a conclusion about the operating effectiveness of the control.
Variable sampling, on the other hand, is a method of audit sampling that is used to estimate the amount or value of a population by measuring a characteristic of interest, such as monetary value, quantity, or size.
Variable sampling is not appropriate for testing compliance with the data center's physical access log system, as the auditor is not interested in estimating the value of the population, but rather in testing whether the system is operating as intended.
Quota sampling and haphazard sampling are both examples of non-statistical sampling methods that do not use probability theory to select a sample. Quota sampling involves selecting a sample based on certain criteria or quotas, such as age, gender, or location. Haphazard sampling involves selecting a sample without any specific plan or method. Both methods are not suitable for testing compliance with the data center's physical access log system, as they do not ensure that the sample is representative of the population and do not allow the auditor to measure the sampling risk or project the results to the population.
Therefore, attribute sampling is the most useful sampling method for an IS auditor conducting compliance testing for the effectiveness of the data center's physical access log system.
References:
* Audit Sampling - What Is It, Methods, Example, Advantage, Reason
* ISA 530: Audit sampling | ICAEW