Verified CPMAI dumps Q&As – 100% Pass from ActualCollection [Q83-Q101]

Q83. An AI project team has completed an AI go/no-go assessment. They have discovered several technology and data factors to be insufficient.
Which action should occur?

Verify data quality and stakeholder alignment

Proceed with development despite data issues

Focus solely on technology upgrades, not data

Launch the AI project without further assessment

Q84. You have an Anomaly Detection project you’re working on and you need a simple approach of clustering data into classified groups. Which algorithm is the best choice given this situation?

K-Means Clustering

Neural Network

Decision Tree

Hidden Markov Model

Q85. A financial services firm is assessing the success of a newly operationalized AI system for fraud detection. The project manager needs to evaluate the model against business key performance indicators. (KPIs). What is an effective method to help ensure the accuracy of this evaluation?

Implementing a single comprehensive metric

Consulting with external experts and auditors

Utilizing a diverse set of validation techniques

Reviewing quarterly business financial reports

Q86. The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?

Phase I

Phase II

Phase III

Phase IV

Phase V

Phase VI

Q87. A hospital wants to develop a medical records system with the primary goal of minimizing or eliminating paper records. They have identified where the cognitive AI solution will be applied. In addition, business objectives have been quantified and key performance indicators (KPI) have been determined. What else needs to be done to progress to the next Cognitive Project Management for AI (CPMAI) phase?

Determine the project ROI

Begin prototype development

Explore external data sources

Create interdepartmental strategies

Q88. As the project manager, you are leading a brainstorming session with key stakeholders around a new Hyperpersonalization project. What’s a key feature for this project that should happen to ensure success?

Develop a unique profile of each individual, and have that profile learn and adapt over time for a wide variety of purposes

Develop a unique profile of each individual, and manually update that profile over time for a wide variety of purposes

Develop a unique profile of each individual, and having that profile both learn and adapt over time as well as be programmed for a wide variety of purposes

Develop a unique profile of each type of individual, and have that profile stay the same over the lifetime of that user

Q89. In order for Supervised Learning approaches to work, they must be fed clean, well-labeled data that the system can use to learn from examples. But how do you get Labeled Data? As a team leader at a small startup, what approach would not be beneficial when trying to gather labeled data?

Contract with Third Party Data Labeling Firms

Hire a Contractor Workforce

Get your Users to Do it

Find a source of already labeled data

Q90. A manufacturing company is considering implementing an AI solution to optimize its supply chain.
The project manager needs to determine if AI is necessary for this task. Which action will address the requirements?

Determining the specific cognitive tasks that Al can perform within the supply chain

Evaluating the scalability of AI solutions for supply chain optimization

Identifying noncognitive versus AI methods used in supply chain management

Assessing the cost-benefit ratio of an AI implementation for the supply chain

Q91. A manufacturing company is using an AI system for quality control. The project manager needs to ensure data privacy and compliance with industry standards. Which initial approach will effectively address these requirements?

Establishing a data privacy task force

Implementing advanced data encryption methods

Developing a comprehensive data governance plan

Conducting regular data privacy audits

Q92. An aerospace company is planning to integrate AI for predictive maintenance. The project team needs to identify which parts of the project require cognitive AI solutions. Which method should the project manager perform to meet the objective?

Employing a multicriteria decision analysis tool to categorize AI project components

Utilizing an AI-driven workflow engine to automate project segmentation

Implementing a rule-based system to classify AI project elements based on predefined criteria

Conducting a series of workshops with domain experts to map out AI dependencies

Q93. Your team is tasked with selecting an algorithm for a supervised learning classification project.
Which algorithm might you choose?

Gaussian mixture

Q learning

K-nearest neighbor

K-means

Q94. An aerospace firm is developing an AI system for predictive maintenance of their aircraft. The project team needs to define the required data to train the model. Which activity should the project manager implement?

Developing a comprehensive data collection strategy

Conducting a pilot test with a small dataset

Setting up real-time data streaming from aircraft sensors

Implementing data cleaning and preprocessing routines

Q95. The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive. To keep your organization competitive, you need to:

Make sure the technical team has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.

Make sure senior management has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.

Make sure all senior leadership is data literate, understands the Vs of big data, data’s connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.

Make sure everyone on the team has an understanding of data, its connections to the organization, and how to extract value from big data to unleash it for competitive advantage.

Q96. A team is in the early stages of an AI project. They need to ensure they have the necessary data and technology to support AI solution development. What is the first step the project team should complete?

Verify the availability and quality of the required data.

Assess the team’s current AI and data expertise.

Identify the gaps and procure the needed tools.

Outline the business objectives for the AI project.

Q97. You’re working on a project and are working with personally identifiable information (PII). What’s the best approach to take when it comes to collecting and using this data?

Use noise reduction techniques to reduce all forms of data noise

Implement a new data privacy policy

Store the data in a data warehouse

If this data is not needed, use Data anonymization techniques to remove it before feeding to models

Q98. An insurance company is selecting an AI approach to automate simple claim approvals for low- risk cases. The organization wants the system to take actions with minimal human intervention based on predefined policies. Which AI capability best fits?

Conversational

Predictive analytics

Autonomous systems

Hyperpersonalization

Q99. You have been brought on to manage a recognition project, specifically an image recognition project, for an Autonomous Retail application. You know that you need to make sure you have sufficient data for this project.
What’s the best way to approach this?

Take all the data your company has as well as purchase additional external data

Take inventory of all data your company has and use the relevant data

Take all the existing data you have and apply it to this project

Take inventory of all data your team has and use the relevant data

Q100. Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation someone does a review and notices that the system is denying a large number of loans from a certain demographic when all other factors from people in other regions (such as age, salary, and credit score) are the same.
What is most likely happening here?

Biased data sets leading to algorithmic discrimination

Generative AI models hallucinating data results

Nothing is wrong, algorithmic decisions will never be 100%

Data privacy issues leading to data sharing concerns

Q101. You are leading a project to develop a new predictive maintenance solution. Together with your project team you determine your data needs, see if you have access to the data, and then begin working on the project. Which phase best describes the work you are performing?