WorksheetsPizzabot session 2
Total questions: 10
Worksheet time: 8mins
Which of these files will you need to edit to add a new slot you want to use to change the flow of conversation?(Assume that this slot will be filled by an existing entity)(select all that apply)
nlu.yml
stories.yml
domain.yml
config.yml
What happens when you test your Rasa assistant using the command line interface command?(Select all that apply)
Your test stories are run
A report is generated in the results folder
The action server is tested
If no result's folder exists, one is created
Full integration tests with all your channels are run
Which of the following are true of response selectors?(select all)
They can easily extract information from a document database and generate an answer to a question
They reduce the amount of stories you need to provide
You can use them to answer FAQ’s
Which of the following is the correct example of rasa story format?
Does the order of the components in the pipeline matter?
Yes
No
Which is policy uses machine learning approach to predict next action?
Rule Policy
Memorization Policy
TED Policy
Which files define the universe in which your assistant operates?
nlu.yml
config.yml
credentials.yml
domain.yml
If you want to train an assistant whose pre-trained word embeddings are not available, which pipeline configuration should you choose?
Supervised embeddings
Pre-trained embeddings
Which rasa command loads your trained model and lets you talk to your assistant on the command line?
rasa shell
rasa train
rasa init
rasa run actions
When should you add a new story or rule? Select all that apply
When you add a new action or form
When you add a new intent
When a user conversation follows a new path your assistant can’t currently handle
Every time you train your model
When you update the NLU training data for an intent
