AWS Certified Alexa Skill Builder – Specialty — Question 40

An Alexa Skill Builder implemented the built-in intent AMAZON.HelpIntent. In some cases, users are asking for help using phrases that are specific to a skill's terminology. Amazon Alexa does not understand these phrases are help requests, and they are not being routed to AMAZON.HelpIntent.
According to best practices, how can this situation be corrected?

Answer options

• A. Create custom intents using the help utterances that are specific to the skill, and remove AMAZON.HelpIntent.
• B. Use AMAZON.FallbackIntent to capture spoken phrases that do not match AMAZON.HelpIntent, then determine if the user needs help.
• C. Define custom slots for AMAZON.HelpIntent to capture the additional details in the users' help requests
• D. Extend the standard built-in AMAZON.HelpIntent using additional samples in the skill's interaction model

Correct answer: D

Explanation

The correct answer is D because extending the AMAZON.HelpIntent with additional sample utterances allows the skill to recognize phrases that are specific to its terminology. Options A and C provide alternatives but do not utilize the built-in functionality effectively, while B diverts help requests to a fallback intent instead of directly improving help recognition.