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C1000-012 IBM Watson Application Developer V3.1 Questions and Answers

Questions 4

Which two Natural Language Processing artifacts are part of the Watson Knowledge Studio?

Options:

A.

parsing rules

B.

mention detection

C.

relation detection

D.

part-of-speech tagging

E.

sentence tokenization

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Questions 5

Which three file types can be ingested by the IBM Watson Discovery service?

Options:

A.

JSON

B.

PPT

C.

DOC

D.

XLS

E.

CSV

F.

PDF

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Questions 6

The IBM Watson Visual Recognition service is designed to work best with which types of images?

Options:

A.

drawings

B.

x-rays

C.

graphics

D.

photos

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Questions 7

A developer is using machine learning techniques to train a system which will identify fraudulent insurance claims. Which would be best suited for training data?

Options:

A.

Samples of known fraudulent and legitimate claims

B.

A set of known legitimate claims mixed in with random claim samples

C.

A set of known fraudulent claims mixed in with random claim samples

D.

A new set of unknown claims

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Questions 8

What is a common use case for the IBM Watson Natural Language Classifier service?

Options:

A.

Enable back and forth natural language conversations with a user for clarifying questions or helping a user take an action

B.

Design marketing material and provide product recommendations that is more personal and relevant

C.

Find the right person for a specific job or project based on classifications found in a person’s resume

D.

Organize tweets into a set of categories, such as events, news, or opinions

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Questions 9

What kind of machine learning approach is typically used for classification with a neural network?

Options:

A.

automatic learning

B.

active learning

C.

supervised learning

D.

reinforcement learning

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Questions 10

What is the definition of false positive in the context of measuring accuracy of a machine learning system?

Options:

A.

The system returns a low confidence score for a correct answer.

B.

The system returns a high confidence score for an incorrect answer.

C.

The system returns only low confidence scores for all answers.

D.

The system returns only high confidence for all answers, both correct and incorrect.

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Questions 11

A developer has been asked to build a question and answer system using the IBM Watson Assistant service for a retail bank to handle questions from customers on the banking website. From which group of users should the developer target to collect representative questions?

Options:

A.

A sample set of members from IT team managing the website

B.

call center agents who routinely handle such customer calls

C.

executive sponsor and decision makers at the bank

D.

a sample set of end users of the application

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Questions 12

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

What design pattern is appropriate for this use case?

Options:

A.

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

B.

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

C.

Empathy Analysis pattern designed with: Personality Insights and Watson Assistant

D.

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

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Questions 13

Which IBM Watson Natural Language Understanding service is used to identify Subject-Action-Object triples in unstructured text?

Options:

A.

Linked Data Support

B.

Keywords

C.

Categories

D.

Semantic Roles

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Questions 14

Which IBM Watson service will allow consumers to find relevant news articles?

Options:

A.

Personality Insights

B.

Tradeoff Analytics

C.

Natural Language Understanding

D.

Discovery

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Exam Code: C1000-012
Exam Name: IBM Watson Application Developer V3.1
Last Update: Nov 24, 2024
Questions: 99