An Amazon Alexa Skill with account linking receives the following request from Alexa: Before responding to the request, how should the Alexa Skill Builder verify that the request came from a user with a valid service account?

Confirm that apiAccessToken verifies that the user is in the resource server and that the token has not expired.

Confirm that accessToken verifies that the token has not expired and that the user is the resource owner.

Confirm that accessToken verifies that the user is in the resource server and that the token has not expired.

Confirm that apiAccessToken verifies that the token has not expired and that the user is the resource owner.

An Alexa Skill Builder needs to display an image and some additional text to users of a skill.Which approach will work with any Amazon Alexa enabled device?

Send a Standard card to the user.

Use an Alexa display template, such as BodyTemplate1.

Send a Simple card to the user.

Send a Standard card to the user.

Send a LinkAccount card to the user.

An Alexa Skill Builder receives feedback from users that a specific utterance causes Amazon Alexa to trigger the skill’s AMAZON.HelpIntent rather than triggering the correct intent and slot.How can the Builder reproduce this behavior to troubleshoot the problem?

Set up a unit test in the code base to simulate what happens when the given intent and slot combination are dispatched within the skill.

Use the AWS Lambda test feature to send a request with the given intent and slot combination.

Set up a unit test in the code base to simulate what happens when the given intent and slot combination are dispatched within the skill.

Use the Manual JSON tab on the Test page of the developer console to see what happens when a request for the given intent and slot combination is sent to the skill

Use the Alexa Simulator tab on the Test page of the developer console to test the utterances the users have reported.

An Alexa Skill Builder is developing a complex skill to help users purchase items. The Builder has implemented the default AMAZON.HelpIntent, but when users ask for help they always reach the same unhelpful result.How should the Builder enhance the experience to guide the users toward the end goal?

Check the state of the user conversation when AMAZON.HelpIntent is received to give contextual responses.

Implement AMAZON.FallbackIntent to give a response when an utterance is not understood.

Extend the default AMAZON.HelpIntent with more sample utterances.

Implement a custom intent users can request when they need help.

An Alexa Skill Builder wants to add a short audio clip to a skill with SSML. The Builder records a 6-second audio clip using a high-end microphone and recording application and exports the file with a bitrate of 48 kbps. The file is then uploaded to a public Amazon S3 bucket.The Builder then updates the SSML to return: When testing the skill, Amazon Alexa responds with "There was a problem with the requested skill’s response" every time.How should the Builder resolve this error?

Re-export the audio file with a smaller bitrate.

Re-export the audio file to .mp3 instead of .wav

Update the interaction model to enable the AudioPlayer interface

During testing of a new Amazon Alexa skill, the skill is repeatedly failing and invoking the function defined in the addErrorHandler method specified on the SkillBuilder object. Upon inspection of Amazon CloudWatch Logs, the Alexa Skill Builder establishes that the failure is occurring whenever AMAZON.HelpIntent is being received.How should this error be corrected?

The Builder should ensure that the intent handler is coded so that it tests for AMAZON.HelpIntent in its canHandle method, and when detected, returns true.

AMAZON.HelpIntent should be handled by the SDK. The Builder should raise a support ticket with Amazon.

The Builder should ensure that the intent handler is coded so that it tests for AMAZON.HelpIntent in its canHandle method, and when detected, returns true.

The Builder should add logic to provide help instructions to the function defined in the addErrorHandler method specified on the SkillBuilder object.

The Builder should add an AMAZON.HelpIntent entry to the interaction model to ensure the request for help is recognized by the skill.

An Alexa Skill Builder wants to implement in-skill purchasing to offer one-time purchases for access to premium content. The Builder created an entitlement product and deployed it successfully using the ASK CLI tool. When testing the custom BuyInskillProductIntent in the developer console, the Builder receives the following error:Sorry, this product is not available with your current language setting.How can this error be fixed?

Change the AWS Lambda function to include the correct locale in the Connections.SendRequest directive D. Change the language in the premium content

Change the release date and redeploy the product

Change the locale in the Alexa Simulator tab in the developer console

Change the AWS Lambda function to include the correct locale in the Connections.SendRequest directive D. Change the language in the premium content

An Alexa Skill Builder made changes to an AWS Lambda function that is used as the endpoint for a skill. The Builder discovers that the skill now returns an error when it is launched.How can the Builder use the Lambda console to trigger the function and debug the code?

Create a Lambda test event using the JSON request as input to find the specific error within the code.

Create a Lambda test event using the JSON response as output to find the specific error within the code.

Check the JSON response to see if there are any syntax errors in the code.

Create a Lambda test event using the JSON interaction model to find the specific error within the code.

An Alexa Skill Builder has created a taxi hiring skill. The skill needs to find out when the customer wants a taxi, where the customer is traveling from, and where the customer wants to go. The Builder is currently asking each question individually, in the following order:"Where do you want to take a taxi from" "Where do you want to take a taxi to" "When do you need a taxi"To ensure the voice interaction is flexible, how should this information be gathered regardless of the order in which the user provides it?

Use a single intent and slot. Inspect the incoming slot value and categorize then response, then prompt for the remaining information.

Create an intent for each question and include slots for each piece of information on every intent C. Create three intents with one slot each. Use Dialog.ElicitSlot to fill the slots.

Create a single intent with three slots. Use the Dialog.Delegate directive to fill the slots.

Which of the following occur when a beta test of a live skill times out?(Choose two.)

The beta tester will lose access to the beta skill and will need to reenable the live skill

The beta tester will receive an email saying the beta test has ended

The beta tester will lose access to the beta skill and will need to reenable the live skill

The beta tester will receive an email saying the beta test has ended

The administrator will receive an email confirming that the beta tester has been removed

The beta tester will lose access to the beta skill but will maintain access to the live skill

The beta skill history in the Amazon Alexa app will disappear once the beta test has ended

When testing an Amazon Alexa skill using the Test page in the developer console, the JSON output is null.What is the MOST likely cause?

The endpoint ARN has not been configured

The AWS Lambda function is encountering an error and is not returning a result.

The endpoint ARN has not been configured

The ASK has not been granted access to trigger the AWS Lambda function

Skill ID verification has been disabled

An Alexa Skill Builder is creating a skill that requires the user to authenticate by speaking a PIN before an order status can be retrieved.According to best practices, how should the PIN value be collected?

Use a custom slot with zero to nine as values.

Use multiple slots of type AMAZON.NUMBER

Use a custom slot with zero to nine as values.

An Alexa Skill Builder published a skill that streams sounds to help users relax. The skill is becoming very popular and is available in many different locales around the world. More than 20.000 users are using the skill every week, and more than 500 users are added daily. The sound files are stored in Amazon S3.What can the Builder do to ensure low latency and the best possible streaming performance?

Enable cross-region replication on the Amazon S3 bucket policy to improve the skill’s performance.

Use Amazon CloudFront to deliver content and cache the audio files across different geographical regions.

Migrate the sound files from Amazon S3 into Amazon Redshift to speed up the read operations.

Use Elastic Load Balancing to handle the traffic generated by the increasing number of users.

Enable cross-region replication on the Amazon S3 bucket policy to improve the skill’s performance.

An Alexa Skill Builder is designing a skill with an intent that needs six slots to be filled. It is unlikely that a user will provide all the slot values in a single utterance, so the slot fulfillment should be split up into a multi-turn conversation.What can the Builder do in the developer console to have Amazon Alexa elicit any missing slots, without specifying each of the slots in the backend code?

Mark those six slots are required, fill in the necessary prompts, and in the backend code, use the Dialog.Delegate directive until all slots are filled.

Keep track of what slots are filled in session attributes, and in the backend code, prompt the user for the missing slots using Dialog.ElicitSlot.

Mark those six slots are required, fill in the necessary prompts, and in the backend code, use the Dialog.Delegate directive until all slots are filled.

Mark those six slots are required, fill in the necessary prompts, and in the backend code, use the Dialog.ConfirmSlot directive until all slots are filled

Mark those six slots are required, fill in the necessary prompts, and in the backend code, use the Dialog.ElicitSlot directive until all slots are filled.

An Alexa Builder is working on a skill for music streaming. When a user says, "Alexa, stop" the skill needs to know where the user was in the song, so that when returning to the skill in a new session, the song can pick up where it left off.Which section of the following JSON contains the data indicating where the song left off?

context.System.device.supportedInterfaces.AudioPlayer

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?

Extend the standard built-in AMAZON.HelpIntent using additional samples in the skill’s interaction model

Create custom intents using the help utterances that are specific to the skill, and remove AMAZON.HelpIntent.

Use AMAZON.FallbackIntent to capture spoken phrases that do not match AMAZON.HelpIntent, then determine if the user needs help.

Define custom slots for AMAZON.HelpIntent to capture the additional details in the users’ help requests

Extend the standard built-in AMAZON.HelpIntent using additional samples in the skill’s interaction model

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?

Use the developer console to add AMAZON.LaunchRequest to the interaction model, rebuild the model, then invoke the skill again.

Use Amazon CloudWatch to check the most recent execution log and see if an error is present.

Use Amazon DynamoDB and export a copy of the log database, then search for error messages.

Use the developer console to rebuild the model, then invoke the skill again with the invocation name.

Use the developer console to add AMAZON.LaunchRequest to the interaction model, rebuild the model, then invoke the skill again.

The information below details a portion of an interaction model in JSON: What is wrong with this interaction model?

The JSON is not properly constructed and would cause an error.

The intent naming convention is not valid in the situation.

The two intents do not have unique slots.

The two intents do not have unique utterances.

The JSON is not properly constructed and would cause an error.

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?

Make changes in the skill code, deploy it, and test it on the device.

Modify the SSML in the skill, save it, and check Amazon CloudWatch for errors.

Edit the SSML in the skill and use the Alexa Simulator tab on the Test page of the developer console.

Use the Voice & Tone tab on the Test page in the developer console.

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.)

Changing the URL of the image on a skill card

Updating the backend to point to a new database

Adding a new intent in the interaction model

Changing the text of a skill response

Adding a sentence to the skill description

Changing the URL of the image on a skill card

Updating the backend to point to a new database

Amazon AXS-C01 Practice Test 2 - Free Online Exam Questions 41-65

An Alexa Skill Builder is interested in gathering information about returning users.

What analytics tool in the developer console would provide the Builder with this information?

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