C1000-012 Dumps - IBM Watson Application Developer V3.1

C1000-012 exam is a hot IBM certification,its full name is IBM Watson Application Developer V3.1. If you want to pass your IBM C1000-012 exam with high score, Passcert IBM Watson Certification C1000-012 Dumps will increase your confidence of passing the exam and will effectively help you pass the C1000-012 exam.

There are 60 questions in the real C1000-012 test, you need to answer all questions in 90 minutes,and you should answer 44 questions correctly to pass your IBM Watson Application Developer V3.1 exam. Languages of English, Japanese are available.

This intermediate level technical professional is an individual who understands concepts essential to the development of applications using IBM Watson AI services. They will have experience using the IBM Cloud and are able to consume IBM Watson AI services in an application. This individual is able to perform these tasks with little to no assistance from product documentation, support or peers.

Section 1 - Fundamentals of Artificial Intelligence (AI) Computing

Section 2 - Use Cases for Artificial Intelligence

Section 3 - Fundamentals of IBM Watson AI services

Section 4 - Developing AI applications using IBM Watson AI Services on IBM Cloud

Section 5 - Administration & DevOps for applications using IBM Watson AI services on IBM Cloud

1.What Watson solution can answer common support questions typically handled by a live agent?

A. Tone Analyzer

B. Watson Assistant

C. Natural Language Understanding

D. Language Translator

Answer: C

2.An AI solution is implemented to detect what the user wants to do. The user mentions that he wants to buy a ski jacket for an upcoming vacation in Colorado.

How can the entities be derived from the conversation using IBM Watson services?

A. Upload training data to the Discovery service and use the Discovery API to query the results

B. Use the Tone Analyzer service to retrieve the level of openness in the utterance

C. Pass the utterance from the user to the Natural Language Understanding service Entities API

D. Pass the utterance from the user through Speech to Text then apply Tradeoff Analytics

Answer: C

3.What are examples of the information the IBM Watson Natural Language Understanding service extract from html, or web-based content when it analyzes entities?

A. text and title information

B. people, companies, organizations

C. subject-action-object relations

D. topic keywords

Answer: C

4.Built into the IBM Watson Discovery service is the Watson Discovery News data set.

How is this collection different from other collections?

A. The Watson Discovery News configuration and documents cannot be adjusted

B. Documents from the Watson Discovery News collection can be ingested as sample documents to better configure a private collection

C. The Watson Discovery News collection is specific to the company news domain, whereas a collection is specific to a domain.

D. The Watson Discovery News data set and a private collection can be queried with a single query call

Answer: B

5.Which IBM Watson service is pre-trained and does not allow for any customization?

A. Tone Analyzer

B. Discovery

C. Natural Language Classifier

D. Speech to Text

Answer: C

6.When building a dialog within the IBM Watson Assistant service, what does the dollar sign $ represent?

A. Shorthand syntax for accessing the dialog context.variable_name.

B. The $ syntax is meaningful when used with the asterisk * for building and utilizing JSON within Watson dialog response

C. Describes replacement of context by user_response within the Watson Assistant dialog

D. Replaces a word or set of words in the position the $ occupies

Answer: C