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ISACA CISA Exam Syllabus Topics:

TopicDetailsWeights
INFORMATION SYSTEMS AUDITING PROCESS- Providing audit services in accordance with standards to assist organizations in protecting and controlling information systems. Domain 1 affirms your credibility to offer conclusions on the state of an organization’s IS/IT security, risk and control solutions.

A. Planning

  1. IS Audit Standards, Guidelines, and Codes of Ethics
  2. Business Processes
  3. Types of Controls
  4. Risk-Based Audit Planning
  5. Types of Audits and Assessments

B. Execution

  1. Audit Project Management
  2. Sampling Methodology
  3. Audit Evidence Collection Techniques
  4. Data Analytics
  5. Reporting and Communication Techniques
  6. Quality Assurance and Improvement of the Audit Process
21%
Protection of Information Assets- Cybersecurity now touches virtually every information systems role, and understanding its principles, best practices and pitfalls is a major focus within Domain 5.

 A. Information Asset Security and Control

  1. Information Asset Security Frameworks, Standards, and Guidelines
  2. Privacy Principles
  3. Physical Access and Environmental Controls
  4. Identity and Access Management
  5. Network and End-Point Security
  6. Data Classification
  7. Data Encryption and Encryption-Related Techniques
  8. Public Key Infrastructure (PKI)
  9. Web-Based Communication Techniques
  10. Virtualized Environments
  11. Mobile, Wireless, and Internet-of-Things (IoT) Devices

B. Security Event Management

  1. Security Awareness Training and Programs
  2. Information System Attack Methods and Techniques
  3. Security Testing Tools and Techniques
  4. Security Monitoring Tools and Techniques
  5. Incident Response Management
  6. Evidence Collection and Forensics

-Supporting Tasks

  1. Plan audit to determine whether information systems are protected, controlled, and provide value to the organization.
  2. Conduct audit in accordance with IS audit standards and a risk‐based IS audit strategy.
  3. Communicate audit progress, findings, results, and recommendations to stakeholders.
  4. Conduct audit follow‐up to evaluate whether risks have been sufficiently addressed.
  5. Evaluate the IT strategy for alignment with the organization’s strategies and objectives.
  6. Evaluate the effectiveness of IT governance structure and IT organizational structure.
  7. Evaluate the organization’s management of IT policies and practices.
  8. Evaluate the organization’s IT policies and practices for compliance with regulatory and legal requirements.
  9. Evaluate IT resource and portfolio management for alignment with the organization’s strategies and objectives.
  10. Evaluate the organization's risk management policies and practices.
  11. Evaluate IT management and monitoring of controls.
  12. Evaluate the monitoring and reporting of IT key performance indicators (KPIs).
  13. Evaluate the organization’s ability to continue business operations.
  14. Evaluate whether the business case for proposed changes to information systems meet business objectives.
  15. Evaluate whether IT supplier selection and contract management processes align with business requirements.
  16. Evaluate the organization's project management policies and practices.
  17. Evaluate controls at all stages of the information systems development lifecycle.
  18. Evaluate the readiness of information systems for implementation and migration into production.
  19. Conduct post‐implementation review of systems to determine whether project deliverables, controls, and requirements are met.
  20. Evaluate whether IT service management practices align with business requirements.
  21. Conduct periodic review of information systems and enterprise architecture.
  22. Evaluate IT operations to determine whether they are controlled effectively and continue to support the organization’s objectives.
  23. Evaluate IT maintenance practices to determine whether they are controlled effectively and continue to support the organization’s objectives.
  24. Evaluate database management practices.
  25. Evaluate data governance policies and practices.
  26. Evaluate problem and incident management policies and practices.
  27. Evaluate change, configuration, release, and patch management policies and practices.
  28. Evaluate end-user computing to determine whether the processes are effectively controlled.
  29. Evaluate the organization's information security and privacy policies and practices.
  30. Evaluate physical and environmental controls to determine whether information assets are adequately safeguarded.
  31. Evaluate logical security controls to verify the confidentiality, integrity, and availability of information.
  32. Evaluate data classification practices for alignment with the organization’s policies and applicable external requirements.
  33. Evaluate policies and practices related to asset lifecycle management.
  34. Evaluate the information security program to determine its effectiveness and alignment with the organization’s strategies and objectives.
  35. Perform technical security testing to identify potential threats and vulnerabilities.
  36. Utilize data analytics tools to streamline audit processes.
  37. Provide consulting services and guidance to the organization in order to improve the quality and control of information systems.
  38. Identify opportunities for process improvement in the organization's IT policies and practices.
  39. Evaluate potential opportunities and threats associated with emerging technologies, regulations, and industry practices.
27%

The CISA Certification Exam is designed for professionals who have experience in the field of information security and are responsible for auditing, controlling, and monitoring information systems. CISA exam covers a wide range of topics, including the principles of information security management, governance and strategy, risk management, and information security program development.

ISACA Certified Information Systems Auditor Sample Questions (Q1263-Q1268):

NEW QUESTION # 1263
To prevent IP spoofing attacks, a firewall should be configured to drop a packet if:

Answer: C

Explanation:
IP spoofing takes advantage of the source-routing option in the IP protocol. With this option enabled, an attacker can insert a spoofed source IP address. The packet will travel the network according to the information within the source-routing field, bypassing the logic in each router, including dynamic and static routing (choice D). Choices B and C do not have any relation to IP spoofing attacks. If a packet has a broadcast destination address (choice B), it will be sent to all addresses in the subnet. Turning on the reset flag (RST) (choice C) is part of the normal procedure to end a TCP connection.


NEW QUESTION # 1264
After discovering a security vulnerability in a third-party application that interfaces with several external
systems, a patch is applied to a significant number of modules. Which of the following tests should an IS
auditor recommend?

Answer: D

Explanation:
Section: Protection of Information Assets
Explanation:
Given the extensiveness of the patch and its interfaces to external systems, system testing is most
appropriate. Interface testing is not enough, and stress or black box testing are inadequate in these
circumstances.


NEW QUESTION # 1265
Which of the following layer of an enterprise data flow architecture represents subsets of information from the core data warehouse?

Answer: D

Explanation:
Section: Information System Acquisition, Development and Implementation Explanation:
Data Mart layer - Data mart represents subset of information from the core DW selected and organized to meet the needs of a particular business unit or business line. Data mart can be relational databases or some form on-line analytical processing (OLAP) data structure.
For CISA exam you should know below information about business intelligence:
Business intelligence(BI) is a broad field of IT encompasses the collection and analysis of information to assist decision making and assess organizational performance. To deliver effective BI, organizations need to design and implement a data architecture. The complete data architecture consists of two components The enterprise data flow architecture (EDFA) A logical data architecture Various layers/components of this data flow architecture are as follows:
Presentation/desktop access layer - This is where end users directly deal with information. This layer includes familiar desktop tools such as spreadsheets, direct querying tools, reporting and analysis suits offered by vendors such as Congas and business objects, and purpose built application such as balanced source cards and digital dashboards.
Data Source Layer - Enterprise information derives from number of sources:
Operational data - Data captured and maintained by an organization's existing systems, and usually held in system-specific database or flat files.
External Data - Data provided to an organization by external sources. This could include data such as customer demographic and market share information.
Nonoperational data - Information needed by end user that is not currently maintained in a computer accessible format.
Core data warehouse - This is where all the data of interest to an organization is captured and organized to assist reporting and analysis. DWs are normally instituted as large relational databases. A property constituted DW should support three basic form of an inquiry.
Drilling up and drilling down - Using dimension of interest to the business, it should be possible to aggregate data as well as drill down. Attributes available at the more granular levels of the warehouse can also be used to refine the analysis.
Drill across - Use common attributes to access a cross section of information in the warehouse such as sum sales across all product lines by customer and group of customers according to length of association with the company.
Historical Analysis - The warehouse should support this by holding historical, time variant data. An example of historical analysis would be to report monthly store sales and then repeat the analysis using only customer who were preexisting at the start of the year in order to separate the effective new customer from the ability to generate repeat business with existing customers.
Data Mart Layer - Data mart represents subset of information from the core DW selected and organized to meet the needs of a particular business unit or business line. Data mart can be relational databases or some form on-line analytical processing (OLAP) data structure.
Data Staging and quality layer - This layer is responsible for data copying, transformation into DW format and quality control. It is particularly important that only reliable data into core DW. This layer needs to be able to deal with problems periodically thrown by operational systems such as change to account number format and reuse of old accounts and customer numbers.
Data Access Layer - This layer operates to connect the data storage and quality layer with data stores in the data source layer and, in the process, avoiding the need to know to know exactly how these data stores are organized. Technology now permits SQL access to data even if it is not stored in a relational database.
Data Preparation layer - This layer is concerned with the assembly and preparation of data for loading into data marts. The usual practice is to per-calculate the values that are loaded into OLAP data repositories to increase access speed. Data mining is concern with exploring large volume of data to determine patterns and trends of information. Data mining often identifies patterns that are counterintuitive due to number and complexity of data relationships. Data quality needs to be very high to not corrupt the result.
Metadata repository layer - Metadata are data about data. The information held in metadata layer needs to extend beyond data structure names and formats to provide detail on business purpose and context. The metadata layer should be comprehensive in scope, covering data as they flow between the various layers, including documenting transformation and validation rules.
Warehouse Management Layer - The function of this layer is the scheduling of the tasks necessary to build and maintain the DW and populate data marts. This layer is also involved in administration of security.
Application messaging layer - This layer is concerned with transporting information between the various layers. In addition to business data, this layer encompasses generation, storage and targeted communication of control messages.
Internet/Intranet layer - This layer is concerned with basic data communication. Included here are browser based user interface and TCP/IP networking.
Various analysis models used by data architects/ analysis follows:
Activity or swim-lane diagram - De-construct business processes.
Entity relationship diagram - Depict data entities and how they relate. These data analysis methods obviously play an important part in developing an enterprise data model. However, it is also crucial that knowledgeable business operative is involved in the process. This way proper understanding can be obtained of the business purpose and context of the data. This also mitigates the risk of replication of suboptimal data configuration from existing systems and database into DW.
The following were incorrect answers:
Desktop access layer or presentation layer is where end users directly deal with information. This layer includes familiar desktop tools such as spreadsheets, direct querying tools, reporting and analysis suits offered by vendors such as Congas and business objects, and purpose built application such as balanced source cards and digital dashboards.
Data access layer - his layer operates to connect the data storage and quality layer with data stores in the data source layer and, in the process, avoiding the need to know to know exactly how these data stores are organized. Technology now permits SQL access to data even if it is not stored in a relational database.
Reference:
CISA review manual 2014 Page number 188


NEW QUESTION # 1266
During the review of a data conversion process for a retail application, an IS auditor noticed changes were made to a price listing. Whose approval is MOST appropriate for these changes?

Answer: A


NEW QUESTION # 1267
Which of the following should be the MOST important consideration when conducting a review of IT portfolio management?

Answer: C

Explanation:
Controls to minimize risk and maximize value for the IT portfolio should be the most important consideration when conducting a review of IT portfolio management, because they ensure that the IT portfolio aligns with the business strategy, objectives, and priorities, and that the IT investments deliver optimal benefits and outcomes. Assignment of responsibility for each project to an IT team member, adherence to best practice and industry approved methodologies, and frequency of meetings where the business discusses the IT portfolio are also relevant aspects of IT portfolio management, but they are not as important as controls to minimize risk and maximize value. References: CISA Review Manual (Digital Version), Chapter 1, Section 1.2.3


NEW QUESTION # 1268
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