IBM Watson Application Developer V3.1 - C1000-012무료 덤프문제 풀어보기

A. text classification

B. text-to-speech

C. natural scene text recognition

D. entity extraction

E. speech recognition

F. keyword extraction

A. The data crawler automates the upload of content to the Discovery Service.

B. Use the data crawler when structured data must be mined from other services.

C. When working with the tooling, the data crawler can be used to upload sample documents.

D. When there is a business need to dynamically crawl websites, Twitter and constantly changing content.

A. REST style using JSON/HTTP only

B. REST style using either XML/HTTP and JSON/HTTP

C. SOAP/HTTP and JSON/HTTP

D. JSON/HTTP or JSON/RTP

A. Programmatically using the IBM Cloud registry

B. From the service instance, using the IBM Cloud GUI or the Command Line Interface (CLI), or programmatically using IBM Cloud environment variables

C. All needed information is published in the service's online reference

D. Connection information is found in the IBM Cloud dashboard

A. Train a classifier with examples of license plates.

B. Write an algorithm to run a set of logical checks on the images.

C. An AI system would already recognize different types of license plates, so simply show it the images.

D. Build a tool that sends images to be annotated by teams of humans.

A. Validation data sets are exactly the same as test data sets and are used to test the limits of the machine learning model

B. Validation data sets are only used if test data is unavailable

C. Validation data sets would never be used in a classification system as only training and test data are required

D. Validation data sets are used to fine tune the accuracy of the training model

A. Empathy Analysis pattern designed with: Personality Insights and Watson Assistant

B. Audio Analysis pattern designed with: Speech to Text and Tone Analysis

C. Conversational pattern designed with: Watson Assistant service, Natural Language Understanding and Entity Extraction

D. Speech to Speech pattern designed with: Speech to Text, Relationship Extraction and Text to Speech

A. When the classifier has been retained and we want to preserve old classes from a previous training set.

B. When the text is very detailed such that identifying a single class may cause inaccuracies.

C. When the text utterances are very similar in nature and we want to mark slight differences using classes.

D. When experts interpret the same text in different ways, multiple classes support those interpretations.

A. Language Translator

B. Watson Assistant

C. Natural Language Understanding

D. Tone Analyzer

A. Natural Language Classifier

B. Discovery

C. Speech to Text

D. Natural Language Understanding