AWS Certified Alexa Skill Builder - Specialty

AWS Certified Alexa Skill Builder - Specialty practice questions, page 2 of 3, with answer review and explanations.

Question 6

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?

  1. The skill's slot types are invalid.
  2. The skill does not have an example phrase
  3. The skill does not have an invocation name
  4. The skill does not have an endpoint

Question 7

An Alexa Skill Builder has published a skill to the Alexa Skills Store, but soon after realizes that Amazon Alexa is saying an incorrect word in one of the responses. What is the recommended method for the Builder to correct this issue?

  1. Correct the response in a new endpoint, and after updating the In Development version of the skill, redeploy it.
  2. Access the In Development version of the skill, alter the intent that was causing the incorrect word, then resubmit the skill for certification.
  3. Edit the response in a new endpoint, and after updating the In Development version of the skill, resubmit it for certification.
  4. Correct the response in the existing endpoint of the Live version of the skill, then redeploy it.

Question 8

An Alexa Skill Builder needs to change the invocation name of a new skill. What status should the skill be in to make this change?

  1. In Development
  2. Build
  3. In Certification
  4. Edit

Question 9

An Amazon Alexa interactive story skill needs to provide users with the option to resume the skill from where users left off when they last used the skill. Where should the data be stored to ensure that the skill will start at the correct location?

  1. In a JSON file along with the skill's AWS Lambda function
  2. In Amazon DynamoDB
  3. In the skill's session object
  4. In the skills's request object

Question 10

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?

  1. Add a logging statement to write the event request to Amazon CloudWatch Logs.
  2. Add an API call to write the environment variables to an Amazon S3 bucket when the function is invoked.
  3. 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.
  4. Add a statement to parse the JSON request and save to the local disk for the Lambda function