How does a digital assistant determine which skill to route user input to?

• A. It evaluates all of the user input against one consolidated training model based on the utterances for each skill to determine the candidate skills. Then, it evaluates against the training models for the candidate skills and resolves to the intent with the highest confidence score.
• B. It evaluates all of the user input against the individual training models for each skill, and then it routes to the intent with the highest confidence score.
• C. It routes to the skill that is activated most often.
• D. It evaluates all of the user input against one consolidated training model that combines all of the intents, and then it routes to the intent with the highest confidence score.
• E. It always routes to the currently active skill.

You have gone through a number of testing iterations of your customer's skill that comprises 10 intents. But you find that generally the best you can get is a confidence score of 96%, even when the user phrase is identical to one of your training utterances.
What should you recommend to your customer regarding this intent confidence score?

• A. The highest possible confidence with 10 intents is 10% (100% divided by the number of intents). So, no further changes to the skill are required.
• B. Keep iterating on user testing and add more training utterances until you can achieve a confidence level of 100% on your user input.
• C. It is not always possible to achieve 100% confidence and adding more utterances may not help the problem. Therefore, do not make further changes to the skill if it is performing to your expectations.
• D. For every verb in your training utterances, ensure you add a version of the utterance which also covers the past, present, and future tense of the verb.
• E. Add more utterances to the unresolvedlntent.

You are writing a dialog flow and you are at the end of the conversation. For the final state, you are not sure whether to use a return transition use a next transition that goes to the start of the dialog flow.
Which statement is true?

• A. The next transition automatically clears variables on navigation, whereas return doesn't.
• B. The return transition goes to the start of the dialog flow and resets all variables, whereas next simply navigates.
• C. The next transition can only be used for forward navigation in the flow.
• D. The next and return transitions are the same and you can use them interchangeably.

What does this dialog flow do?

• A. It logs how many times it takes each user to enter an utterance that resolves to an intent.
• B. If the user does not enter an utterance that resolves to an intent within three tries, it transitions to a state to handle the user problem.
• C. It stops the conversation if the user can't enter any utterances that resolve to an intent.
• D. It loops back to the intent state until the user enters an utterance that resolves to an intent.

What is the purpose of the training models within Oracle Digital Assistant?

• A. automatically crowdsource sample data to which user input is matched
• B. build a complete semantic language model allowing a skill to understand 98% of user input in the trained language
• C. allow a skill to classify user input to defined intents
• D. automatically create n number of classifications where n is a parameter defined for each skill