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IBM C1000-012 IBM Watson Application Developer V3.1 Exam Practice Test

Demo: 14 questions
Total 99 questions
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IBM Watson Application Developer V3.1 Questions and Answers

Question 1

A journalist would like to analyze four short sentences captured and transcribed form verbal sound-bites from a political candidate. Is the IBM Watson Personality Insights service an appropriate technology to accomplish this goal?

Options:

A.

Yes, the Personality Insights services will provide details about the personality of this political candidate

B.

Yes, because the journalist will combine the Personality Insight with Speech to Test service to accomplish this goal

C.

No, there is not enough text for the Personality Insights service to analyze and provide reliable results

D.

No, the Personality Insights service provides only information about the emotional stat of the candidate

Question 2

Which type of learning is K-means clustering?

Options:

A.

automatic learning

B.

supervised learning

C.

unsupervised learning

D.

reinforcement learning

Question 3

What type of input data can IBM Watson Assistant consume independently?

Options:

A.

string of text

B.

speech

C.

images

D.

audio

Question 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

Question 5

Which two IBM Watson services combined would be applicable for an agent-assisted, email-based help desk?

Options:

A.

Watson Assistant

B.

Personality Insights

C.

Visual Recognition

D.

Speech to Text

E.

Discovery

Question 6

A classifier for identifying the ACME corporation logo in images posted on social media runs on 100 images. There are 75 true positives, 3 false positives and 1 false negative and 21 true negatives. Which statement is true?

Options:

A.

The classifier has a low precision and a high recall

B.

The classifier has a low precision and a low recall

C.

The classifier has a high precision and a high recall

D.

The classifier has a high precision and a low recall

Question 7

The IT helpdesk of a large enterprise routinely conducts surveys of its users. The survey allows the users to rate the performance of the helpdesk and to enter about 3-4 lines of comments in a free form text field.

Which IBM Watson service should the IT helpdesk use to drive insights from the texts and to look for patterns among complains for improvements?

Options:

A.

Use Discovery to extract keywords and entities for common patterns across the comments plus gain insight into the sentiment expressed by each comment

B.

Natural Language Classifier to evaluate sentiments expressed in the comments

C.

Use Natural Language Classifier to look for concepts mentioned in the review

D.

Use Personality Insights to analyze traits of the users logging the comments

Question 8

Which statement is true about relationships in Watson Knowledge Studio type system?

Options:

A.

Relationships must be between only two entities.

B.

Relationships can occur between more than two entities.

C.

Relationships can be implied as long as there is sufficient statistical probability to warrant the inference.

D.

Relationships can occur in more than one direction between entities.

Question 9

What does normalizing data in the IBM Watson Discovery service entail?

Options:

A.

Fields can be moved, merged, copied or removed

B.

The same heading size and font settings can be used across all documents

C.

Curating and sanitizing documents from various file types

D.

Preparing various file types to be converted to JSON for final indexing

Question 10

What license is the IBM Watson SDK licensed under?

Options:

A.

BSD License

B.

Apache 2.0 License

C.

GNU General Public License

D.

IBM Public License

Question 11

What are the input and output data types of the IBM Watson Tone Analyzer service?

Options:

A.

Input of XML or plain text and output in JSON

B.

Input of JSON or plain text and output in XML

C.

Only plain text is supported for both input and output

D.

Input of JSON or plain text and output in JSON

Question 12

Someone is training a machine learning system to perform classification of unstructured content. What is the purpose of a validation data set on the training process?

Options:

A.

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

B.

Validation data sets are only used if test data is unavailable

C.

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

D.

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

Question 13

In order to minimize the error, which method helps to find the derivative of the error with respect to each weight and subtracting this value from the weight value?

Options:

A.

Answer Propagation

B.

Back Propagation

C.

Cognitive Propagation

D.

Forward Propagation

Question 14

A researcher is looking for a system that can help analyze recorded presentation, extract major concepts and provide recommendations for related content. Which two IBM Watson AI services on IBM Cloud can be combined to help achieve this task?

Options:

A.

Discovery

B.

Speech to Text

C.

Text to Speech

D.

Tone Analyzer

E.

Personality Insights

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Demo: 14 questions
Total 99 questions
Get C1000-012 Full Access Download C1000-012 PDF