Website Name Change
I have changed the name of this website from Mining Business Data to BotFlo. I am offering a 40% off discount on both my Dialogflow ES and Dialogflow CX courses till end of April 2021 for people who can help me spread the word about my new website.
The answers to the Dialogflow ES quiz are highlighted in bold.
1] Which of these is used to keep track of what happened within a conversation?
While parameters store values, it is a context which actually keeps track of what happened within a conversation. Another way to think about this: you can direct the conversation across two entirely different branches based on what happened in the previous step using a context, even if no parameter value is being collected in any of the intents.
2] Which of these is used to tune the accuracy of your Dialogflow agent?
c) ML Threshold
The ML Threshold is a decimal value between 0 and 1 which can be used to tune the accuracy of your Dialogflow agent. The higher the ML threshold, the more the user query must closely match one of the training phrases in the intent.
3] When your Dialogflow bot cannot understand what the user said, what will be the first choice?
a) System crash
b) Fallback Intent
c) 404 error
The Fallback intent fires when your Dialogflow bot cannot understand what the user said. However, if you don’t have a fallback intent in your agent, it will usually effectively “crash” your chatbot as there will be no response seen by the end user.
4] Which of these features might result in multiple answers per user query?
a) Multiple responses inside the first Text response block
b) Fallback intent being fired
c) Knowledge Connector
d) Timeout in webhook
Reason: Only the Knowledge Connector produces multiple responses for a single user query in Dialogflow ES.
5] Which of these is likely to be a value of a Regexp Entity?
a) 10th Dec 2015
d) random text
Reason: A) and B) can be represented by system entities, and D) does not follow a pattern and cannot be represented by a regexp entity.
"The magic key I needed as a non-programmer" The custom payload generator was the magic key I needed (as a non-programmer) to build a good demo with rich responses in DialogFlow Messenger. I've only used it for 30 minutes and am thrilled. I've spent hours trying to figure out some of the intricacies of DialogFlow on my own. Over and over, I kept coming back to Aravind's tutorials available on-line. I trust the other functionalities I learn to use in the app will save me additional time and heartburn. - Kathleen R Cofounder, gathrHealth