All Weeks Building AI Applications with Watson APIs Coursera Quiz Answers
A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.
Building AI Applications with Watson APIs Week 01 Quiz Answers
Quiz 1 – Introduction
Q1. Watson Assistant is a useful service for the creation of chatbots.
Q2. Watson Discovery allows us to extract information from knowledge bases and other collections of documents.
Q3. You cannot integrate Watson services.
Q4. This course will teach you about Watson Speech APIs and how to integrate them with chatbots.
Q5. You cannot deploy chatbots to Facebook and Slack, only to WordPress.
Building AI Applications with Watson APIs Week 02 Quiz Answers
Quiz 2 – Watson Discovery
Q1. Watson Discovery includes a News collection by default.
Q2. Which of these services can be used as a source for a Discovery collection?
- IBM Cloud Object Storage
Q3. What does DQL stands for?
- Direct Query Language
- Document Query Language
- Discovery Query Language
- Discovery Query Lexer
Q4. Which of the following query modes are supported in Discovery?
- Natural language
- Parliamentary inquiry
- Visual mode
Q5. We can add Watson enrichments to data to better classify documents by attaching useful metadata to them (e.g., entities, concepts, keywords).
Building AI Applications with Watson APIs Week 03 Quiz Answers
Quiz 3 – Integrating Assistant and Discovery
Q1. When integrating Watson Assistant and Watson Discovery, it is handy to use IBM Cloud Functions as an intermediary.
Q2. Integration between various Watson services is possible thanks to APIs.
Q3. Which of these values are required to successfully query a Discovery collection through its API?
- The Discovery username (e.g., apikey)
- The Discovery password (e.g., the actual API KEY)
Q4. Specifying “result_variable”: “context.courses” in the JSON editor for a node calling an IBM Function, will place the result of the function in which variable?
- In the $courses context variable.
- In the @context.course entity value.
- In the $result context variable.
- In the $result_variable context variable.
Q5. At some point, in the lab, we use <? $courses.courses.get(0).name ?> in the response of a node that calls an IBM Function. This fragment of code will display the name of the first course returned by the query.
Building AI Applications with Watson APIs Week 04 Quiz Answers
Quiz 4 – Speech APIs
Q1. Which of the following companies uses Speech Recognition technology acquired from IBM in the past?
Q2. Which of the following services enables SMS- and Voice-based communication via REST API?
- IBM Voice Gateway
Q3. What type of file did we ask Text to Speech return?
Q4. How were the service functions chained?
Building AI Applications with Watson APIs Week 05 Quiz Answers
Quiz 5 – Deployment
Q1. Facebook Messenger and Slack are two integration options availlable from the Add Integration button within Watson Assistant.
Q2. Unless you make a Facebook app public, you’ll need to add testers manually to grant them access to your app.
Q3. Slack bot users can subscribe to events (so that they may reply when they are invoked). Which of the following are valid event names?
Q4. You can use a WordPress plugin to quickly and easily deploy Watson Assistant chatbots to WordPress sites.
Q5. You need to re-deploy your chatbot every time you change the dialog within Watson Assistant.
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This course is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisite courses.