Accompany wants to determine whether to move forward with an AI project. The project manager has answered and received approval for all questions on technology, data, and business feasibility. Which activity did the project manager perform?

• A.Conducted a go/no-go assessment
• B.Developed initial machine learning models
• C.Operationalized a pilot version
• D.Data collection and aggregation

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A government agency is developing an AI system to predict infrastructure failures. The data team needs to ensure that the dataset includes historical maintenance records, environmental data, and equipment usage logs. However, they are encountering issues with data from multiple sources being in different formats. Which two methods should be applied to meet the data team's objectives? (Choose two.)

• A.Utilizing a multiformat data integration tool
• B.Applying a diversified data ingestion model
• C.Implementing a data normalization process
• D.Depending only on manual entry for format standardization
• E.Adopting a hybrid data preparation pipeline

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Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be.
What should the project manager do?

• A.Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.
• B.Conduct a straw poll with stakeholders to determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
• C.Move forward without determining which pattern of AI this falls under.
• D.Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.

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You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?

• A.K Nearest Neighbor
• B.K-means
• C.Neural Network
• D.Hyperpersonalization

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Your model is going to be used for continuous monitoring of machinery, with need for continuous, instant model predictions. What's the most appropriate Model Operationalization approach?

• A.Batch prediction
• B.Stream learning
• C.Real-time prediction
• D.Web service / Microservice

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