Isaca Updated CISA Exam Questions and Answers by elliana

Beta testing is the process of releasing a near-final version of a software product to a group of external users, known as beta testers, who provide feedback and report bugs based on their real-world experiences. Beta testingoffers various benefits for both the developers and the users of the software product. Some of these benefits are:

It reduces product failure risk via customer validation12.

It helps to test post-launch infrastructure1.

It helps to improve product quality via customer feedback12.

It allows for thorough bug detection and issue resolution3.

It enhances usability and user experience3.

It increases customer satisfaction and loyalty3.

Based on these benefits, the most important advantage of participating in beta testing of software products is D. It enables an organization to gain familiarity with new products and their functionality. By being involved in beta testing, an organization can learn how to use the new product effectively, discover its features and benefits, and provide suggestions for improvement. This can help the organization to adopt the new product faster, easier, and more efficiently when it is officially released. It can also give the organization a competitive edge over other users who are not familiar with the new product.

Data analytics is the process of collecting, transforming, analyzing, and visualizing data to gain insights and support decision making1. Data analytics can be used to facilitate the testing of a new account creation process by applying various techniques and methods to evaluate the quality, functionality, performance, and security of the process. One of the approaches that would utilize data analytics to test the new account creation process is to review new account applications submitted in the past month for invalid dates of birth. This approach would involve the following steps:

Extract the data of new account applications from the source system, such as a database or a web service, using appropriate tools and methods.

Transform and clean the data to ensure its accuracy, completeness, consistency, and validity, using techniques such as data profiling, data cleansing, data mapping, and data validation2.

Analyze the data to identify any anomalies, errors, or outliers in the date of birth field, using methods such as descriptive statistics, exploratory data analysis, hypothesis testing, or anomaly detection3.

Visualize the data to present the findings and insights in a clear and understandable way, using tools and techniques such as charts, graphs, dashboards, or reports.

By reviewing new account applications submitted in the past month for invalid dates of birth, the tester can use data analytics to:

Verify if the new account creation process is working as expected and meets the business requirements and specifications for the date of birth field.

Detect any defects or issues in the new account creation process that may cause invalid dates of birth to be accepted or rejected incorrectly.

Measure and monitor the performance and reliability of the new account creation process in terms of data quality, accuracy, and completeness.

Evaluate and improve the test coverage and effectiveness of the new account creation process by identifying any gaps or risks in the test cases or scenarios.

Therefore, option C is the correct answer.

Option A is not correct because attempting to submit new account applications with invalid dates of birth is not a data analytics approach, but a functional testing approach that involves executing test cases or scenarios manually or automatically to validate the behavior and functionality of the new account creation process. Option B is not correct because reviewing the business requirements document for date of birth field requirements is not a data analytics approach, but a requirements analysis approach that involves examining and understanding the needs and expectations of the stakeholders for the new account creation process. Option D is not correct because evaluating configuration settings for date of birth field requirements is not a data analytics approach, but a configuration testing approach that involves verifying if the settings and parameters of the new account creation process are correct and consistent with the requirements.

References:

What is Data Analytics? Definition & Examples1

Data Transformation: Definition & Examples2

Data Analysis: Definition & Examples3

Data Visualization: Definition & Examples

Functional Testing: Definition & Examples

Requirements Analysis: Definition & Examples

Configuration Testing: Definition & Examples

 The best way to prevent a chip-level security vulnerability from being exploited is to install vendor patches. A chip-level security vulnerability is a flaw in the design or implementation of a processor that allows an attacker to bypass the normal security mechanisms and access privileged information or execute malicious code. A vendor patch is a software update provided by the manufacturer of the processor that fixes or mitigates the vulnerability. Installing vendor patches can help to protect the system from known exploits and reduce the risk of data leakage or compromise.

Security awareness training, reviewing hardware vendor contracts, and reviewing security log incidents are not as effective as installing vendor patches for preventing a chip-level security vulnerability from being exploited. Security awareness training is an educational program that teaches users about theimportance of security and how to avoid common threats. Reviewing hardware vendor contracts is a legal process that evaluates the terms and conditions of the agreement between the organization and the processor supplier. Reviewing security log incidents is an analytical process that examines the records of security events and activities on the system. These methods may be useful for other security purposes, but they do not directly address the root cause of the chip-level vulnerability or prevent its exploitation. References: Protecting your device against chip-related security vulnerabilities, New ‘Downfall’ Flaw Exposes Valuable Data in Generations of Intel Chips

The primary responsibility of a project steering committee is to provide regular project updates and oversight. A project steering committee is an advisory group that consists of senior stakeholders and experts who offer guidance and support to a project manager and their team. The steering committee is mainly concerned with the direction, scope, budget, timeline, and methods used to realize a given project1.

One of the key roles of a steering committee is to monitor the progress and performance of the project and ensure that it aligns with the business objectives and stakeholder expectations. The steering committee also provides feedback, advice, and recommendations to the project manager and helps them resolve any issues or challenges that may arise during the project lifecycle. The steering committee communicates regularly with the project manager and other stakeholders through meetings, reports, and presentations23.

Therefore, providing regular project updates and oversight is the primary responsibility of a project steering committee.

References:

Steering Committee: Definition, Roles & Meeting Tips - ProjectManager

Project Steering Committee: Roles, Best Practices, Challenges – ProjectPractical

Steering Committee: Complete Guide with Examples & Templates - Status.net