C1000-144 exam

Why is it important to create hypotheses about the behavior of the AI system?A . It simplifies the coding process for developersB . It helps predict and mitigate potential risks associated with the systemC . It is primarily for marketing purposesD . It fulfills a legal requirement for AI developmentView...

For implementing dimensional reduction, which method would be most effective when dealing with highly nonlinear data?A . Linear Discriminant Analysis (LDA)B . PCAC . t-Distributed Stochastic Neighbor Embedding (t-SNE)D . Factor AnalysisView AnswerAnswer: C

Which is a primary goal of AI design thinking in relation to business problems?A . Maximizing the speed of developmentB . Understanding user needs and pain pointsC . Choosing the most advanced AI technologiesD . Ensuring the project is completed under budgetView AnswerAnswer: B

Why is logistic regression considered a linear classifier?A . Because it is only capable of linear regression tasksB . Because it uses a linear decision boundary to separate classesC . Because it applies a nonlinear transformation to the input featuresD . Because it computes the decision boundary using a non-linear...

Given an SQL table 'Books' with fields Title, Author, and Genre, which query would return a list of unique Genre values?A . SELECT Genre FROM Books;B . SELECT SET Genre FROM Books;C . SELECT UNIQUE Genre FROM Books;D . SELECT DISTINCT Genre FROM Books;View AnswerAnswer: D

In assessing progress on the AI Ladder, which aspects should be considered? (Choose Two)A . The quality and accessibility of dataB . The color palette of the user interfaceC . Integration capabilities with existing systemsD . Branding and marketing strategiesView AnswerAnswer: AC

Which approach is best for refining an AI solution based on feasibility assessment?A . Increasing the complexity of the solutionB . Reducing scope to match available resources and capabilitiesC . Outsourcing the entire projectD . Ignoring feasibility concerns to speed up deploymentView AnswerAnswer: B

Which technique is typically used to prevent overfitting in a decision tree classifier?A . Increasing the depth of the tree indefinitelyB . Using a linear kernel instead of a polynomial kernelC . Pruning the tree to remove non-significant branchesD . Applying PCA before training the classifierView AnswerAnswer: C

What is the benefit of feature scaling in model training?A . It increases the number of features for better accuracyB . It helps algorithms converge faster by normalizing feature magnitudesC . It decreases the transparency of the modelD . It is only useful for unsupervised learningView AnswerAnswer: B

What is the first step in aligning on user intents for an AI solution?A . Prototyping the solutionB . Identifying key stakeholdersC . Conducting a market analysisD . Documenting technical requirementsView AnswerAnswer: B