An Alexa Skill Builder is creating a skill that will identify an actor who spoke a famous piece of movie dialog, given just the dialog text and an optional movie name. The Builder created the FindActorIntent as shown below, but Amazon Alexa returns an error when it builds the model.
An Alexa Skill Builder is using Amazon S3 to stream large quantities of static audio and video content throughout the world with an Amazon Alexa skill.
Which additional AWS service will help the Builder decrease latency and improve the reliability of the streaming media content for the global audience?
An Alexa Skill Builder is developing a skill containing a multi-turn dialog that can be invoked with or without a specific intent request. On invocation, the skill needs to retrieve persistent attributes that have been saved by a previous invocation, and then copy them into session attributes.
How should the Builder implement this functionality?
A travel booking skill has slot elicitation for fromCity, toCity, and travelDate inside of a dialog. After going live, the skill is getting negative reviews stating that the skill does not understand the city names when customers try to book
travel.
The Alexa Skill Builder adds AMAZON.FallbackIntent to the interaction model with the goal of providing better messaging for out-of-domain utterances.
Why will the addition of AMAZON.FallbackIntent fail to resolve the customer issue?
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 has created a custom skill about basketball including a HowToPlayBasketball intent. When looking at the Intent History page in the developer console, the Builder sees that a number of users are asking the skill How to play baseball. The Builder wants to add a relevant response directing the user back to the topic of basketball.
How should the Builder implement this?
An Amazon Alexa skill fetches data for users from a third-party API and the wait for the response from that call is variable, often taking up to 5 seconds.
What is the recommended method for notifying users that a skill is working on the request and has not failed to respond?
An Alexa Skill Builder is developing a skill using AWS Lambda. When invoking the skill, Amazon Alexa responds "There was a problem with the requested skill's response."
The following message is displayed in Amazon CloudWatch Logs for the Lambda function.
Which of the following actions will resolve the problem?
An Alexa Skill Builder adds a colleague to a skill using the beta test feature. The colleague logs in to the developer console to edit the interaction model and cannot see the skill.
Why is this happening?