IBM Watson V3 Application Development Set 1

1.

How can a developer prevent IBM Bluemix from logging data in an API request to an IBM Watson service?

Set a header parameter called X-Stop-Training-Watson to true in the HTTP request. Disable training from in the IBM Bluemix dashboard. Pass a parameter called DisableTraining=false in the API request. Set a header parameter called X-Watson-Learning-Opt-Out with the value true in the HTTP request.

2.

How is a training data set constructed from user questions for the IBM Watson Natural Language Classifier?

Group the questions into classes. Use an XML formatted data set. Upload documents with similar questions. Create an intents index in a spreadsheet.

3.

What is an approach for integrating a database into an IBM Watson solution?

Use the Discovery service to search through candidate queries and surface the ones most relevant to the user input. Use the Document Conversion service to search the database for the entries with the strongest relationship to the user input. Use the intent from the Natural Language Classifier as part of a query. Use the concepts from Natural Language Understanding to search the database for the most relevant documents.

4.

Which IBM Watson service would enable retailers to help their customers choose the appropriate product by balancing multiple product features?

Natural Language Understanding Personality Insights Tradeoff analytics Discovery

5.

Which authorization must a developer acquire prior to creating an IBM Watson service instance?

an IBM Watson Developer Cloud account an IBM Bluemix account an IBM Marketplace account an IBM PartnerWorld account

6.

Which characteristic makes an API RESTfuI?

It only works with Javascript. It uses standard HTTP methods (e.g., GET, PUT, POST, or DELETE). It defines a number of custom media types for resources and is discoverable based on multiple known end-points. It uses non-standard HTTP methods.

7.

When is it appropriate to include multiple classes for a sample text in the training data for IBM Watson Natural Language Classifier?

When text is very detailed such that identifying a single class may cause inaccuracies. When experts interpret the same text in different ways, multiple classes support those interpretations. When the text utterances are very similar in nature and we want to mark slight differences using classes When the classifier has been retrained and we want to preserve old classes from a previous training set.

8.

How are language preferences set for IBM Watson Natural Language Classifier (NLC)?

The NLC can automatically detect the language of the incoming request. A language parameter is specified as a part of every call to the classifier. There are no options to do this as the NLC works only on English language utterances. The language parameter is specified in the training meta data file when creating a classifier.

9.

Which game development engine has a corresponding IBM Watson SDK?

OGRE Cryengine Minecraft Unity

10.

What is the name of the JSON object that can be used to store data across multiple interactions with an IBM Watson Conversation dialog flow?

output context node module

IBM Watson V3 Application Development Set 1

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IBM Watson V3 Application Development Set 1

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