An Alexa Skill Builder is using session attributes to maintain a user's state. What can the Builder do to ensure that a user's session is not lost if they take too long to answer a question and the skill exists?
An Alexa Skill Builder would like to improve a skill's help experience. To do this, the Builder plans to leverage the user's activity leading up to the help request to contextualize the help response. Where should the skill obtain the necessary context?
An Alexa Skill Builder is developing a skill that must send an initial welcome email to each new user. What combination of features would the Builder use to satisfy this requirement? (Choose two.)
An Amazon Alexa trip planner skill has several intents and slots. One of the intents is PlanMyTripIntent and some of the slots are fromCity, toCity, departDate, and returnDate. The following is a sample dialog: User: Ask plan my trip to start a new trip leaving from Seattle. Alexa: You said you are leaving from Seattle, right? User: Yes - Alexa: I've saved your trip. Do you want to create another trip? User: Yes - What will be invoked upon the user's final "Yes"?
While developing a skill, an Alexa Skill Builder finds that the voice response is too quick and needs to be slowed down. How can the Builder MOST efficiently iterate and test how the response will sound?