Why is logistic regression considered a linear classifier?
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?
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)
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?
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?
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?
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?
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
What is the primary use of the WHERE clause in an SQL query?
What is the primary use of the WHERE clause in an SQL query?A . To specify which columns to retrieveB . To limit the data that fits certain conditionsC . To identify the tables involved in the queryD . To denote the end of the SQL queryView AnswerAnswer: B
Which techniques ensure a model can explain its decisions and predictions?
Which techniques ensure a model can explain its decisions and predictions?A . Implementing deep learning models exclusivelyB . Using highly non-linear models without any simplificationC . Integrating explanation frameworks like LIME or SHAPD . Minimizing the use of regularization techniquesView AnswerAnswer: C
In SQL, how would you extract the 'name' and 'age' columns from a table named 'customers'?
In SQL, how would you extract the 'name' and 'age' columns from a table named 'customers'?A . SELECT name, age FROM customers;B . EXTRACT name, age FROM customers;C . GET name, age IN customers;D . PULL name, age OUT OF customers;View AnswerAnswer: A