20 AWS Lex Interview Questions and Answers

AWS Lex is a service that allows developers to build conversational bots. It is a popular tool for developers who want to create chatbots or voice assistants. If you are applying for a position that involves AWS Lex, it is important to be prepared for the interview process. In this article, we will review some of the most common AWS Lex interview questions and how you should answer them.

AWS Lex Interview Questions and Answers

Here are 20 commonly asked AWS Lex interview questions and answers to prepare you for your interview:

1. What is AWS Lex?

AWS Lex is a service that allows you to build conversational bots. You can use Lex to build chatbots that can have natural, human-like conversations with your users. Lex provides you with the tools you need to build, test, and deploy your chatbot.

2. Can you explain what the difference between Amazon Lex and Alexa Voice Service (AVS)?

Amazon Lex is a service that allows you to build conversational bots, while Alexa Voice Service (AVS) is a service that allows you to add voice control to your devices. Both services are part of the Amazon Web Services (AWS) platform.

3. How do you create a new bot on AWS Lex?

You can create a new bot on AWS Lex by going to the AWS Management Console and selecting the Lex service. From there, you will need to create a new bot, give it a name, and select the language you want to use. After that, you will need to provide some basic information about your bot, including the intents and utterances you want it to be able to recognize.

4. Which features can be configured when creating an intent?

When creating an intent, you can configure the following features:

– The name of the intent
– The description of the intent
– The slots that are associated with the intent
– The sample utterances that are associated with the intent
– The confirmation prompt that is associated with the intent
– The rejection statement that is associated with the intent

5. How many intents are supported by Lex?

AWS Lex currently supports a maximum of 100 intents per bot.

6. Is it possible to define multiple slots in a single intent? If yes, then how?

Yes, it is possible to define multiple slots in a single intent. You can do this by creating a custom slot type and then adding multiple slots of that type to the intent.

7. In context with AWS Lex, what’s a slot?

A slot is a placeholder for information that a user needs to provide. For example, if you were building a bot to book a hotel room, you would need to create a slot for the dates of the stay, the number of guests, the type of room, etc. The user would then need to provide this information in order for the bot to complete the booking.

8. Is it possible to configure a slot type to accept words or phrases that aren’t in your list of synonyms?

Yes, it is possible to configure a slot type to accept words or phrases that aren’t in your list of synonyms. This can be done by setting the value of the “allowUnknown” property to “true”.

9. If you have multiple slots in a single intent, which one will get invoked first if there are more than one match for a specific utterance?

The slot that is configured with the highest priority will get invoked first if there are more than one match for a specific utterance.

10. When using AWS Lex, why is it important to ensure that all fields contain valid values?

When you are using AWS Lex, it is important to ensure that all fields contain valid values because this helps to ensure that your bot will be able to understand the user’s input. If there are any fields that do not contain valid values, then the bot may not be able to understand the user’s input and could provide an incorrect response.

11. Suppose you want to add some additional sample utterances to an existing intent. How would you go about doing this without overwriting any existing data?

You can use the Amazon Lex console to add additional sample utterances to an existing intent. To do this, simply navigate to the intent you want to modify, and then click on the “Sample Utterances” tab. From here, you can add new utterances in the text box provided.

12. What does “invoking” mean in context with AWS Lex?

Invoking refers to the process of calling or executing a particular function or set of instructions. In the context of AWS Lex, invoking refers to the process of calling or executing the AWS Lex service in order to process user input and fulfill a user’s request.

13. When testing an intent created with AWS Lex, is it necessary to invoke it every time?

No, it is not necessary to invoke the intent every time during testing. You can test the intent by sending it a sample utterance, and then checking the response to see if it is correct.

14. What happens when user input doesn’t match any of the provided intents?

If user input doesn’t match any of the provided intents, AWS Lex will return a response indicating that it didn’t understand the user’s intent.

15. Why is it recommended to keep each Intent configuration as simple as possible when using AWS Lex?

When you keep each Intent configuration as simple as possible, it helps AWS Lex to more accurately match user input to the correct Intent. If you have a complex Intent configuration, it is more likely that AWS Lex will get confused and match user input to the wrong Intent.

16. What happens to response cards sent from Lambda functions to users when they’re not used within 2 seconds?

If a response card is not used within 2 seconds, it is automatically deleted.

17. What is the maximum size allowed for an image file uploaded to AWS Lex?

The maximum size for an image file uploaded to AWS Lex is 5 MB.

18. What is the maximum size of content defined in JSON format that can be sent to AWS Lex?

The maximum size of content that can be sent to AWS Lex is 10MB.

19. What are the different ways you can use session attributes while building bots on AWS Lex?

Session attributes are pieces of information that can be passed along from one interaction to another during a conversation with a bot. This allows you to keep track of information about the user or the conversation itself as it progresses. There are three different ways that you can use session attributes while building bots on AWS Lex.

The first way is to set them explicitly using the setSessionAttributes method. This can be used to set initial values for attributes or to update values that have already been set.

The second way is to use them as input to your bot’s logic. For example, you could use a session attribute to track the user’s current location so that your bot can provide relevant information.

The third way is to use them in your bot’s response. For example, you could use a session attribute to store a list of items that the user has added to their shopping cart so that you can display them back to the user at the end of the conversation.

20. What is a built-in intent? Name some examples.

A built-in intent is a type of intent that is already defined and available for use in the AWS Lex console. Some examples of built-in intents are AMAZON.CancelIntent, AMAZON.HelpIntent, and AMAZON.StopIntent.