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Our Certified Information Systems Auditor (CISA) exam dumps comes in three formats: ISACA CISA PDF dumps file, desktop-based practice test software, and a web-based practice exam. These versions are specially designed to make Certified Information Systems Auditor (CISA) preparation for users easier. CISA Questions in these formats of Dumpexams's material are enough grasp every test topic in the shortest time possible.
To be eligible for the CISA exam, candidates must have a minimum of five years of professional experience in information systems auditing, control, or security. Alternatively, candidates can obtain waivers for up to three years of experience if they have completed specific educational or professional certifications. Once certified, CISA professionals must maintain their certification through ongoing professional education and adherence to ISACA's Code of Professional Ethics.
ISACA CISA (Certified Information Systems Auditor) Certification Exam is a globally recognized certification for professionals in the field of information systems auditing, control, and security. Certified Information Systems Auditor certification is designed to assess the candidate’s knowledge and skills in the areas of auditing, risk management, governance, and security of information systems. The CISA Certification is highly valued by organizations around the world, as it demonstrates the candidate’s expertise in the field and their commitment to maintaining the highest standards of professionalism.
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ISACA CISA certification is an essential credential for IT professionals who want to demonstrate their expertise in the field of information systems audit, control, and security. Certified Information Systems Auditor certification program is globally recognized, and it is highly valued in the industry. The CISA Certification Exam is comprehensive and rigorous, and it requires ample preparation and study. Certified Information Systems Auditor certification program is designed to meet the needs of IT professionals who want to advance their careers in these fields.
NEW QUESTION # 1134
An organization is using symmetric encryption. Which of the following would be a valid reason for moving to asymmetric encryption? Symmetric encryption:
Answer: B
Explanation:
Explanation/Reference:
Explanation:
In a symmetric algorithm, each pair of users needs a unique pair of keys, so the number of keys grows and key management can become overwhelming. Symmetric algorithms do not provide authenticity, and symmetric encryption is faster than asymmetric encryption. Symmetric algorithms require mathematical calculations, but they are not as complex as asymmetric algorithms.
NEW QUESTION # 1135
Disaster recovery planning (DRP) addresses the:
Answer: C
Explanation:
Disaster recovery planning (DRP) is the technological aspect of business continuity planning. Business resumption planning addresses the operational part of business continuity planning.
NEW QUESTION # 1136
How is risk affected if users have direct access to a database at the system level?
Answer: B
Explanation:
Section: Protection of Information Assets
Explanation:
If users have direct access to a database at the system level, risk of unauthorized and untraceable changes to the database increases.
NEW QUESTION # 1137
Which of the following tests would provide the BEST assurance that a health care organization is handling patient data appropriately?
Answer: A
NEW QUESTION # 1138
An IS auditor is reviewing an organization's business intelligence infrastructure. The BEST recommendation to help the organization achieve a reasonable level of data quality would be to:
Answer: C
Explanation:
This is because analyzing the data against predefined specifications is a method of data quality assessment that can help the organization achieve a reasonable level of data quality. Data quality assessment is the process of measuring and evaluating the accuracy, completeness, consistency, timeliness, validity, and usability of the data. Predefined specifications are the criteria or standards that define the expected or desired quality of the data. By comparing the actual data with the predefined specifications, the organization can identify and quantify any gaps, errors, or deviations in the data quality, and take corrective actions accordingly12.
Reviewing data against data classification standards (A) is not the best answer, because it is not a method of data quality assessment, but rather a method of data security management. Data classification standards are the rules or guidelines that define the level of sensitivity and confidentiality of the data, and determine the appropriate security and access controls for the data. For example, data can be classified into public, internal, confidential, or restricted categories. Reviewing data against data classification standards can help the organization protect the data from unauthorized or inappropriate use or disclosure, but it does not directly improve the data quality3.
Outsourcing data cleansing to skilled service providers (B) is not the best answer, because it is not a recommendation to help the organization achieve a reasonable level of data quality, but rather a decision to delegate or transfer the responsibility of data quality management to external parties. Data cleansing is the process of detecting and correcting any errors, inconsistencies, or anomalies in the data. Skilled service providers are third-party vendors or contractors that have the expertise and resources to perform data cleansing tasks. Outsourcing data cleansing to skilled service providers may have some benefits, such as cost savings, efficiency, or scalability, but it also has some risks, such as loss of control, dependency, or liability4.
Consolidating data stored across separate databases into a warehouse is not the best answer, because it is not a method of data quality assessment, but rather a method of data integration and storage. Data integration is the process of combining and transforming data from different sources and formats into a unified and consistent view. Data warehouse is a centralized repository that stores integrated and historical data for analytical purposes. Consolidating data stored across separate databases into a warehouse can help the organization improve the availability and accessibility of the data, but it does not necessarily improve the data quality.
NEW QUESTION # 1139
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