An Alexa Skill Builder is trying to enable a skill in the developer console. The skill model builds without errors, but the Builder is unable to turn on testing.
What could be causing this?
A. The skill's slot types are invalid.
B. The skill does not have an example phrase
C. The skill does not have an invocation name
D. The skill does not have an endpoint
An Alexa Skill Builder is developing a custom skill and needs to verify that the correct slot values are being passed into the AWS Lambda function.
According to best practices, what is the MOST efficient way to capture this information?
A. Add a logging statement to write the event request to Amazon CloudWatch Logs.
B. Add an API call to write the environment variables to an Amazon S3 bucket when the function is invoked.
C. Add an API call to read the event information from AWS Cloud Trail logs and add a PutObject API call to write to an Amazon S3 bucket.
D. Add a statement to parse the JSON request and save to the local disk for the Lambda function
An Alexa Skill Builder built a skill with the following interaction model: Which utterance would invoke HelloIntent?
A. "Alexa, use my first skill to say hello."
B. "Alexa, ask my first skill to say hello to John."
C. "Alexa, open my first skill."
D. "Alexa, say hello to my first skill."
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?
A. AMAZON.FallbackIntent will not be triggered in the middle of a dialog.
B. A handler cannot be added to a Live skill.
C. AMAZON.FallbackIntent will cause the slot values to be incorrectly mapped.
D. AMAZON.FallbackIntent cannot be present in a skill with a Dialog directive.
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. Place logic within the skill's SessionEndedRequest intent handler to copy the persistent attributes into the session attributes.
B. Implement ResponseInterceptor containing logic that takes the current persistent attributes and copies them into session attributes.
C. Include logic within the LaunchRequest intent handler to retrieve persistent attributes and copy them into session attributes.
D. Implement RequestInterceptor containing logic which for new sessions, retrieves persistent attributes and copies them into session attributes
What are the prerequisites for implementing account linking for Amazon Alexa smart home skills?
A. OAuth 2.0 with either implicit grant flow or authorization code grant flow
B. OAuth 2.0 with authorization code grant flow
C. OpenID Connect wit JSON.Web Token (JWT)
D. OAuth 1.0/2.0 with implicit grant flow
An Alexa Skill Builder did not include a display template in a skill.
When the skill is used with an Amazon Alexa enabled device with a screen, cards used in the skill are:
A. rendered as a gray screen.
B. rendered using the skill icon as the foreground image.
C. rendered using the skill icon as the background image.
D. rendered using BodyTemplate1.
An Alexa Skill Builder noticed that a large percentage of a food ordering skill's customers are not completing their transactions. The Builder needs to know what portion of the customers are leaving the skill by not responding, compared to the portion of customers who receive an error.
Which report inside the Analytics section of the developer console will provide this information?
A. Session Type Distribution
B. Unique Customers Per Intent
C. Average Session Per Customer
D. Failed Utterances Per Intent
An Alexa Skill Builder is developing a skill using AWS Lambda. The Builder made some backend code changes, then tested the skill on an Amazon Echo device. When invoking the skill, Amazon Alexa replies with "There was a problem with the requested skill's response".
How can the Builder troubleshoot this problem?
A. Use Amazon CloudWatch to check the most recent execution log and see if an error is present.
B. Use Amazon DynamoDB and export a copy of the log database, then search for error messages.
C. Use the developer console to rebuild the model, then invoke the skill again with the invocation name.
D. Use the developer console to add AMAZON.LaunchRequest to the interaction model, rebuild the model, then invoke the skill again.
An Alexa Skill Builder published a skill and now wants to update it.
Which of the following changes will make it necessary to have the skill re-certified? (Choose two.)
A. Adding a new intent in the interaction model
B. Changing the text of a skill response
C. Adding a sentence to the skill description
D. Changing the URL of the image on a skill card
E. Updating the backend to point to a new database
