AI 900 - pt 11

You have a knowledge base of frequently asked questions (FAQ). You create a bot that uses the knowledge base to respond to customer requests. You need to identify what the bot can perform without adding additional skills. What should you identify?

• Register customer purchases

• Register customer complaints

• Answer questions from multiple users simultaneously

• Provide customers with return materials authorization (RMA) numbers.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

• yes

• no

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

• yes

• no

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

• yes

• no

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

• yes

• no

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

• yes

• no

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

• yes

• no

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

• yes

• no

Computer vision capabilities can be deployed to ​ (a)  

• integrate facial feature into app
• develop text-based chatbot for website
• identify customer behavior on online store
• suggest automated response to incoming email

You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module?

• scaling numeric variables so that they are within a consistent numeric range

• creating training and validation datasets

• diverting records that have missing data

• selecting columns that must be included in the model