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ISACA CISA Exam Syllabus Topics:

SectionWeightObjectives
Information Systems Operations and Business Resilience26%- Information Systems Operations
  • 1. System Interfaces
  • 2. Common Technology Components
  • 3. IT Asset Management
  • 4. Job Scheduling and Production Process Automation
  • 5. IT Service Level Management
  • 6. Database Management
  • 7. End-User Computing
- Business Resilience
  • 1. Data Backup, Storage, and Restoration
  • 2. Disaster Recovery Plan (DRP)
  • 3. System Resiliency
  • 4. Business Impact Analysis (BIA)
  • 5. Business Continuity Plan (BCP)
Governance and Management of IT18%- IT Governance
  • 1. IT Standards, Policies, and Procedures
  • 2. IT-Related Frameworks
  • 3. Enterprise Architecture
  • 4. IT Investment and Allocation Practices
  • 5. Maturity and Process Improvement Models
  • 6. IT Monitoring and Reporting Practices
  • 7. IT Governance and IT Strategy
  • 8. Enterprise Risk Management
  • 9. Organizational Structure
- IT Management
  • 1. Quality Assurance and Quality Management of IT
  • 2. IT Service Provider Acquisition and Management
  • 3. IT Performance Monitoring and Reporting
  • 4. IT Resource Management
Information Systems Auditing Process18%- Execution
  • 1. Quality Assurance and Improvement of the Audit Process
  • 2. Audit Evidence Collection Techniques
  • 3. Data Analytics
  • 4. Reporting and Communication Techniques
  • 5. Audit Project Management
  • 6. Sampling Methodology
- Planning
  • 1. IS Audit Standards, Guidelines, and Codes of Ethics
  • 2. Types of Controls
  • 3. Business Processes
  • 4. Types of Audits and Assessments
  • 5. Risk-Based Audit Planning
Information Systems Acquisition, Development and Implementation12%- Information Systems Implementation
  • 1. Configuration and Release Management
  • 2. Testing Methodologies
  • 3. Post-implementation Review
  • 4. System Migration, Infrastructure Deployment, and Data Conversion
- Information Systems Acquisition and Development
  • 1. Project Governance and Management
  • 2. System Development Methodologies
  • 3. Business Case and Feasibility Analysis
  • 4. Control Identification and Design
Protection of Information Assets26%- Security Event Management
  • 1. Evidence Collection and Forensics
  • 2. Information System Attack Methods and Techniques
  • 3. Incident Response Management
  • 4. Security Testing Tools and Techniques
  • 5. Security Monitoring Tools and Techniques
  • 6. Security Awareness Training and Programs
- Information Asset Security and Control
  • 1. Privacy Principles
  • 2. Data Classification
  • 3. Physical Access and Environmental Controls
  • 4. Data Encryption and Encryption-Related Techniques
  • 5. Information Asset Security Frameworks, Standards, and Guidelines
  • 6. Network and Endpoint Security
  • 7. Public Key Infrastructure (PKI)
  • 8. Identity and Access Management

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ISACA Certified Information Systems Auditor Sample Questions (Q1354-Q1359):

NEW QUESTION # 1354
An organization s data retention policy states that all data will be backed up, retained for 10 years, and then destroyed. When conducting an audit of the long-term offsite backup program, an IS auditor should:

Answer: C


NEW QUESTION # 1355
While implementing an invoice system, Lily has implemented a database control which checks that new transactions are matched to those previously input to ensure that they have not already been entered.
Which of the following control is implemented by Lily?

Answer: A

Explanation:
Section: Information System Acquisition, Development and Implementation Explanation:
In a duplicate check control new transaction are matched to those previously input to ensure that they have not already been entered. For ex. A vendor invoice number agrees with previously recorded invoice to ensure that the current order is not a duplicate and, therefore, the vendor will not be paid twice.
For CISA exam you should know below mentioned data validation edits and controls Sequence Check - The control number follows sequentially and any sequence or duplicated control numbers are rejected or noted on an exception report for follow-up purposes. For example, invoices are numbered sequentially. The day's invoice begins with 12001 and ends with 15045. If any invoice larger than
15045 is encountered during processing, that invoice would be rejected as an invalid invoice number.
Limit Check - Data should not exceed a predefined amount. For example, payroll checks should not exceed US $ 4000. If a check exceeds US $ 4000, data would be rejected for further verification/ authorization.
Validity Check - Programmed checking of data validity in accordance with predefined criteria. For example, a payroll record contains a field for marital status and the acceptable status codes are M or S. If any other code is entered, record should be rejected.
Range Check - Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Reasonableness check - Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.
Table Lookups - Input data comply with predefined criteria maintained in computerized table of possible values. For example, an input check enters a city code of 1 to 10. This number corresponds with a computerize table that matches a code to a city name.
Existence Check - Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Key verification - The keying process is repeated by a separate individual using a machine that compares the original key stroke to the repeated keyed input. For ex. the worker number is keyed twice and compared to verify the keying process.
Check digit - a numeric value that has been calculated mathematically is added to a data to ensure that original data have not been p[ altered or incorrect, but Valid, value substituted. This control is effective in detecting transposition and transcription error. For ex. A check digit is added to an account number so it can be checked for accuracy when it is used.
Completeness check - a filed should always contain data rather than zero or blanks. A check of each byte of that field should be performed to determine that some form of data, or not blanks or zeros, is present.
For ex. A worker number on a new employee record is left blank. His is identified as a key in filed and the record would be rejected, with a request that the field be completed before the record is accepted for processing.
Duplicate check - new transaction is matched to those previously input to ensure that they have not already been entered. For ex. A vendor invoice number agrees with previously recorded invoice to ensure that the current order is not a duplicate and, therefore, the vendor will not be paid twice.
Logical relationship check - if a particular condition is true, then one or more additional conditions or data input relationship may be required to be true and consider the input valid. For ex. The hire data of an employee may be required to be true and consider the input valid. For ex. The hire date of an employee may be required to be more than 16 years past his/her date of birth.
The following were incorrect answers:
Range Check - Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Existence Check - Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Reasonableness check - Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.
Reference:
CISA review manual 2014 Page number 215


NEW QUESTION # 1356
.Why is a clause for requiring source code escrow in an application vendor agreement important?

Answer: A

Explanation:
A clause for requiring source code escrow in an application vendor agreement is important to
ensure that the source code remains available even if the application vendor goes out of
business.


NEW QUESTION # 1357
When planning a follow-up, the IS auditor is informed by operational management that recent organizational changes have addressed the previously identified risk and implementing the action plan is no longer necessary.
What should the auditor do NEXT?

Answer: B

Explanation:
Explanation
When operational management informs the IS auditor that recent organizational changes have addressed previously identified risks and implementing the action plan is no longer necessary, the IS auditor should accept management's assertion and report that the risks have been addressed. However, it is essential to document this communication and ensure that there is evidence supporting management's claim. If there are any doubts or concerns, further investigation may be necessary. The auditor should not assume new risks without proper assessment or evidence1. References: 1(https://www.isaca.org/resources/isaca-journal/issues/2016/volume-6/enhancing-the-aud


NEW QUESTION # 1358
Which of the following is a social engineering attack method?

Answer: C

Explanation:
Explanation
An employee is induced to reveal confidential IP addresses and passwords by answering questions over the phone. This is a social engineering attack method that exploits the trust or curiosity of the employee to obtain sensitive information that can be used to access or compromise the network. According to the web search results, social engineering is a technique that uses psychological manipulation to trick users into making security mistakes or giving away sensitive information1. Phishing, whaling, baiting, and pretexting are some of the common forms of social engineering attacks2. Social engineering attacks are often more effective and profitable than purely technical attacks, as they rely on human error rather than system vulnerabilities


NEW QUESTION # 1359
......

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