An Alexa Skill Builder wants a skill to inform the users of the number of times they have launched the skill.What approach should the Builder take to track this information?

Using the ASK SDK, implement a persistent attribute that is stored and retrieved from Amazon DynamoDB.

Store and increment a launchCount session attribute.

Using the ASK SDK, implement a persistent attribute that is stored and retrieved from Amazon DynamoDB.

Perform a scan of the Amazon DynamoDB table for the number of records and count each record as a skill launch.

Set up a global variable in the code project that increments each time the code is invoked by Amazon Alexa.

An Alexa Skill Builder is developing a skill that tells users facts about their neighborhoods using their postal codes. When running the skill, users receive error messages from their Amazon Alexa devices. When the Builder checks the logs, error messages are being sent when the device location API is used to get users’ postal codes.What are the potential causes of this issue? (Choose two.)

The users have opted out of giving their location information.

The application ID of the skill does not match the expected application ID of the AWS Lambda function.

The Alexa devices are registered in the incorrect postal code.

The AWS Lambda function is not registered to the skill.

The users have opted out of giving their location information.

The application ID of the skill does not match the expected application ID of the AWS Lambda function.

The skill is not registered to access information in the developer console.

An Alexa Skill Builder wants to create a skill that asks the user two yes/no questions:Alexa: Do you like cats?Alexa: Do you like dogs?When the username answers "yes", how should the Builder code the handler to know which question the answer refers to?

Within the AMAZON.YesIntent handler, define a slot to store and retrieve the previously asked question. D. Access Amazon CloudWatch Logs and retrieve the previous question topic from the recent log messages.

Using session attributes, store the previous question as the context for use in the AMAZON.YesIntent handler.

Within the AMAZON.YesIntent handler, prompt the user to repeat the name of the animal that they like.

Within the AMAZON.YesIntent handler, define a slot to store and retrieve the previously asked question. D. Access Amazon CloudWatch Logs and retrieve the previous question topic from the recent log messages.

An Alexa Skill Builder is developing a custom skill to play a live audio stream.What two built-in intents are required to implement the AudioPlayer interface?

AMAZON.ResumeIntent and AMAZON.PauseIntent

AMAZON.NextIntent and AMAZON.StopIntent

AMAZON.ResumeIntent and AMAZON.PauseIntent

AMAZON.CancelIntent and AMAZON.ResumeIntent

AMAZON.RepeatIntent and AMAZON.StopIntent

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?

The skill does not have an invocation name

The skill’s slot types are invalid.

The skill does not have an example phrase

The skill does not have an invocation name

The skill does not have an endpoint

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?

Correct the response in a new endpoint, and after updating the In Development version of the skill, redeploy it.

Access the In Development version of the skill, alter the intent that was causing the incorrect word, then resubmit the skill for certification.

Edit the response in a new endpoint, and after updating the In Development version of the skill, resubmit it for certification.

Correct the response in the existing endpoint of the Live version of the skill, then redeploy it.

An Alexa Skill Builder is building an order reporting skill. Occasionally, users need to enter 30digit serial codes.How can this be accomplished while providing a good voice user interface experience?

Manually extend the timeout so that users can input all the numbers.

Use multiple requests for smaller segments of the code and store the data in session attributes.

Enter single digits one request at a time.

Request that users send the number using the Amazon Alexa app

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?

In the skill’s session object

In a JSON file along with the skill’s AWS Lambda function

In the skill’s session object

In the skills’s request object

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?

Add a statement to parse the JSON request and save to the local disk for the Lambda function

Add a logging statement to write the event request to Amazon CloudWatch Logs.

Add an API call to write the environment variables to an Amazon S3 bucket when the function is invoked.

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.

Add a statement to parse the JSON request and save to the local disk for the Lambda function

Before beginning the development of a skill, an Alexa Skill Builder wants to hear how a statement will be pronounced by Amazon Alexa in another locale.How should the Builder test the pronounciation of the statement?

Use Voice & Tone tab in the developer console to play the statement using the selected locale.

Use the Alexa Simulator tab in the developer console to interact with the skill using the selected locale.

Create a developer account for the specific locale, and use a device to interact with the skill.

Use Voice & Tone tab in the developer console to play the statement using the selected locale.

Use the Manual JSON tab in the developer console to create a sample JSON response

An Alexa Skill Builder submitted a child-directed skill for certification that lists the nearest skateboard parks. The Builder ensured that▪ The skill does not link to an external account▪ The skill stored the child’s preference by userId▪ The skill has a valid privacy policy link in the skill Distribution pageGiven this information, why will the skill fail certification?

The child’s userId cannot be used because of Personally Identifiable Information (PII) restrictions.

The Builder did not upload a privacy policy document

Child-directed skills cannot use location information

The child’s userId cannot be used because of Personally Identifiable Information (PII) restrictions.

The skill should not be child-directed as it can be used by children over 13 years old.

The namespace value in the header of the incoming directive for an Amazon Alexa smart home skill specifies the:

control message for the directive

capability interface of the message

endpoint specified in the message

control message for the directive

According to Amazon Alexa best practices, how should an Alexa Skill Builder prevent unintentional requests against a skill’s backend when using AWS Lambda?

Retrieve the Application ID property from the request JSON and validate it against the Lambda environment variables.

Ensure that the session ID provided by the request to Lambda is not already in use.

Rotate the Lambda ARN regularly to prevent others from using the service.

Retrieve the Application ID property from the request JSON and validate it against the Lambda environment variables.

Provide the Lambda trigger with the Application ID so that it validates on the ask trigger.

An Alexa Skill Builder would like to improve a skill’s help experience. To do this, the Builder plans to leverage the user’s activity leading up to the help request to contextualize the help response.Where should the skill obtain the necessary context?

Retrieve the recent activity from the slot values passed with the AMAZON.HelpIntent request.

Load the user’s recent activity from the Intent Request History API, then use this to provide context to the AMAZON.HelpIntent request.

Retrieve the recent activity from the context object passed with the AMAZON.HelpIntent request.

Use a session attribute to store the intent name for each request, then use this to provide context to the AMAZON.HelpIntent request.

Retrieve the recent activity from the slot values passed with the AMAZON.HelpIntent request.

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?

The colleague was not made an administrator in the beta test tool.

The colleague needs the ROLE_ADMINISTRATOR enablement.

The skill was not submitted for publishing.

The colleague was not made an administrator in the beta test tool.

The colleague has not been added to the skill’s developer account.

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?

Add an .addErrorHandlers(<function>) attribute to the SkillBuilder object and define a function to display detailed information about the error, then respond verbally to the user.

Define a new intent named Unhandled in the skill interaction model and add an Unhandled intent handler to the Lambda function.

Add an .addErrorHandlers(<function>) attribute to the SkillBuilder object and define a function to display detailed information about the error, then respond verbally to the user.

Add an intent handler for the SessionEndedRequest intent to the Lambda function to display detailed information about the error.

Add additional logic to the AMAZON.StopIntent handler in the Lambda function to display detailed information about the error.

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?

Call the Progressive Response API and send a directive, such as VoicePlayer.Speak

Prefetch the data that is expected to the required by the skill from the third-party API using Amazon CloudWatch Events.

Call the Progressive Response API and send a directive, such as VoicePlayer.Speak

Ask a follow-up question for clarification to engage the user while waiting for the initially requested response.

Respond to the user stating that the data will be ready soon, and upon the next launch of the skill, provide the user with the response they initially requested.

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?

Add AMAZON.FallbackIntent and respond with a message about baseball in the handler

Create a custom intent related to baseball, and when matched, provide a relevant response

Add more sample utterances related to baseball in the HowToPlayBasketball intent

Create a new custom baseball slot and add a slot-filling utterance to the HowToPlayBasketball intent.

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?

Set shouldEndSession to false in the response object to prevent the skill from exiting.

Handle the SessionEndedRequest request type and persist the user’s session to a database.

Return false from the SessionEndedRequest handler so the session does not exist.

Return a reprompt in the response object from the SessionEndedRequest handler.

An Alexa Skill Builder built a skill with the following interaction model: Which utterance would invoke HelloIntent?

"Alexa, say hello to my first skill."

"Alexa, use my first skill to say hello."

"Alexa, ask my first skill to say hello to John."

"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?

AMAZON.FallbackIntent will not be triggered in the middle of a dialog.

A handler cannot be added to a Live skill.

AMAZON.FallbackIntent will cause the slot values to be incorrectly mapped.

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?

Place logic within the skill’s SessionEndedRequest intent handler to copy the persistent attributes into the session attributes.

Implement ResponseInterceptor containing logic that takes the current persistent attributes and copies them into session attributes.

Include logic within the LaunchRequest intent handler to retrieve persistent attributes and copy them into session attributes.

Implement RequestInterceptor containing logic which for new sessions, retrieves persistent attributes and copies them into session attributes

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. Why is Alexa failing to build the model?

SearchQuery is combined with another intent slot in an utterance.

Intents can have one built-in slot type only

All sample utterances within an intent should have both slots

SearchQuery is combined with another intent slot in an utterance.

"Dialog" is a reserved keyword in the Alexa Interaction Model schema.

An Alexa Skill Builder needs to have knowledge of the previous prompt that was presented to the user in order to give context to the user’s response.How can the Builder accomplish this?

Call the Intent Request History API to identify which prompt was used.

Find the corresponding prompt using the list events feature

Store a reference to the prompt used as a session attribute

Call the Intent Request History API to identify which prompt was used.

Parse the context object from the skill request.

What are the prerequisites for implementing account linking for Amazon Alexa smart home skills?

OAuth 2.0 with authorization code grant flow

OAuth 2.0 with either implicit grant flow or authorization code grant flow

OAuth 2.0 with authorization code grant flow

OpenID Connect wit JSON.Web Token (JWT)

OAuth 1.0/2.0 with implicit grant flow

An Alexa Skill Builder has built a new custom skill backed by an AWS Lambda function. The Lambda function executes successfully from the Lambda console, however, the Lambda function cannot be successfully invoked in the developer console or from an Amazon Alexa enabled device. No error messages show in the function’s Amazon CloudWatch Logs. The Builder confirmed the endpoint has the correct ARN.What is likely causing this issue and how can it be corrected?

The Lambda application code has a bug that is causing it to crash. Modify the code to fix the bug, then redeploy the Lambda function.

The ASK SDK was not deployed with the Lambda function. Add the ASK SDK, then redeploy the Lambda function.

The ASK trigger for the Lambda function has been restricted to the wrong skill ID. Re-create the trigger with the correct skill ID.

The Lambda role does not have the correct AWS IAM permission. Update the IAM role associated with the Lambda function.

An Alexa Skill Builder is developing a skill that enables users to purchase train tickets. The Builder wants to give users the ability to modify the departure time if they are misunderstood, before the skill proceeds to purchase the tickets.Which option should be used to implement this functionality within the session?

Implement AMAZON.CancelIntent so the user can cancel the order, then set shouldEndSession to false, and prompt the user for the next action.

Implement AMAZON.FallbackIntent so the user can stop the execution when they have been misunderstood.

Implement AMAZON.StopIntent so the user can stop the execution and implement reprompt with a new invocation of the skill.

Implement AMAZON.CancelIntent so the user can cancel the order, then set shouldEndSession to false, and prompt the user for the next action.

Implement the welcome message, providing clear instructions to the user describing how to format an order.

A skill contains a PlanMyTrip intent configured to require slots fromCity and toCity. It contains the following interaction:Alexa: What city are you leaving from?User: I’m leaving from Seattle.Alexa: You want to fly out of Seattle Tacoma International Airport, right?User: YesWhich of the following should the Builder use to confirm the value of the fromCity slot only? (Choose two.)

Use the Dialog.ConfirmIntent directive, including the full airport name in the updatedIntent object.

Use the Dialog.Delegate directive, including the full airport name in the outputSpeech object.

Use the Dialog.ConfirmSlot directive, including the full airport name in the outputSpeech object.

Use the Dialog.ConfirmIntent directive, including the full airport name in the updatedIntent object.

Use the Dialog.Delegate directive, including the full airport name in the updatedIntent object.

Use the Dialog.Delegate directive, including the full airport name in the outputSpeech object.

Use the Dialog.ElicitSlot directive, including the full airport name in the updatedIntent object.

An Alexa Skill Builder is troubleshooting issues with a custom skill backed by an AWS Lambda function that integrates with an external API controlling a light bulb. The Builder observes that when saying "Alexa, turn on the light" the response is "light is not responding" and 10 seconds later, the light turns on.What is the MOST likely cause for this issue and how can it be solved?

There is a bug in the Lambda function code preventing the external API from being called. Enable Lambda debugging and error handling and check Amazon CloudWatch Logs for the error, then modify the code accordingly.

The Lambda function is not executing fast enough. Double the currently specified Lambda memory allocation in the Lambda basic settings section.

The default Lambda function timeout setting is too short and the Lambda function times out before the response from the external API can be processed and a reply can be sent back to Amazon Alexa. Increase the Lambda timeout limit.

There are too many concurrent Lambda functions running, causing the existing Lambda function to block and then time out before a response can be returned to Amazon Alexa. Increase the Lambda function reserve concurrency value to 30, then verify that the function can complete its work within 10 seconds.

There is a bug in the Lambda function code preventing the external API from being called. Enable Lambda debugging and error handling and check Amazon CloudWatch Logs for the error, then modify the code accordingly.

An Alexa Skill Builder built a skill using AWS Lambda. The Lambda function works when running the code on a local machine with a runtime of 4.5 seconds, but during skill testing, the Builder receives an error response. Which collection of steps will address the issue? (Choose two.)

Change the default timeout of the Lambda function to 5 seconds.

Clone the Lambda function to another AWS Region.

Change the Amazon Alexa default timeout to 5 seconds.

Change the default timeout of the Lambda function to 5 seconds.

Call the Progressive Response API and send a directive to reduce latency.

Increase the size of the memory allocated to the Lambda function.

Clone the Lambda function to another AWS Region.

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:

rendered using the skill icon as the foreground image.

rendered using the skill icon as the background image.

An Alexa Skill Builder is building an interactive storytelling skill where the user can choose their own path through the story. The Builder wants Amazon Alexa to narrate the story and use custom audio for the dialogue for each character, along with various sound effects.How can these requirements be met?

Record custom audio for each segment of the story, then stream audio files stored on Amazon S3 using the AudioPlayer interface for each segment of the story.

Develop each response as text, and let Alexa speak each part differently using SSML markup for <amazon:effect> to alter the Alexa voice for each character.

Record custom audio for each character voice and the sound effects in the story, then include the custom audio using SSML markup in the response.

Record the entire story as custom audio and stream the audio stored on Amazon S3 using the AudioPlayer interface.

Amazon AXS-C01 Practice Test 1 - Free Online Exam Questions 1-40

Which of the following are ways that a user can interact with an Amazon Alexa skill using both voice and non-voice methods? (Choose three.)

A.

Scrolling through a list

B.

Selecting an action

C.

Zooming in on an image

D.

Pausing a video

E.

Muting the device

F.

Pairing with Bluetooth

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