CPMAI_v7 試験問題を無料オンラインアクセス

Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model.
What critical error did your team make?

• A.They did not have a model retraining pipeline that took into account models
• B.They did not practice model versioning and keep all versions of the model
• C.They did not have data governance in place
• D.They did not practice model iteration and properly iterate on the model

You're looking to take an image and have a Generative AI solution generate additional content beyond the bounds of the current image size. What Generative AI approach can you use?

• A.Use of inpainting to replace image components
• B.Use of super#resolution to enhance the existing image
• C.Prompt engineering for new image generation
• D.Use of Generative Outpainting

One of the key elements of a data-centric methodology is the data requirements phase. During CPMAI Phase II, several unexpected issues have developed and are now threatening the data collection efforts.
What course of action might make the issue worse?

• A.See if you can expand the scope to continue with the project
• B.See if you can purchase the data needed to continue with the project
• C.See if you can adjust the scope of this interaction to continue with the project
• D.See if you already have access to enough data to continue with the project

You are working for a large multinational organization and have been assigned to a new project. For your new ML project you need to make sure you're managing data privacy and security as you're working with sensitive customer data.
What critical security issues do you need to make sure you address? (Select all that apply.)

• A.Securely storing all data collected for training purposes
• B.Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
• C.Securing model data and metadata
• D.Securing data at rest

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

• A.K-means
• B.Q learning
• C.K-nearest neighbor
• D.Gaussian mixture