Showing posts with label IBM Watson V3 Application Development. Show all posts
Showing posts with label IBM Watson V3 Application Development. Show all posts

Sunday, December 10, 2017

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Share some IBM Certified Application Developer C7020-230 exam questions and answers below.
What is an approach for integrating a database into an IBM Watson solution? 
A. Use the Discovery service to search through candidate queries and surface the ones most relevant to the user input. 
B. Use the Document Conversion service to search the database for the entries with the strongest relationship to the user input. 
C. Use the intent from the Natural Language Classifier as part of a query. 
D. Use the concepts from Natural Language Understanding to search the database for the most relevant documents. 
Answer: D

Which two Natural Language Processing artifacts are part of the Watson Knowledge Studio? (Choose two.) 
A. mention detection 
B. parsing rules 
C. part-of-speech tagging 
D. sentence tokenization 
E. relation detection 
Answer: D,E

How is a training data set constructed from user questions for the IBM Watson Natural Language Classifier? 
A. Group the questions into classes. 
B. Use an XML formatted data set. 
C. Upload documents with similar questions. 
D. Create an intents index in a spreadsheet. 
Answer: A

A cognitive FAQ widget on a company¡¯s support portal allows users to ask questions related to the company and its products. 
Which two IBM Watson services will create this pattern? (Choose two.) 
A. Tradeoff Analytics 
B. Natural Language Understanding service Semantic Roles API 
C. Conversation 
D. Discovery 
E. Personality Insights 
Answer: B,C

A system with a set of classifiers is trained to recognize eight different company logos from images. It is 78% accurate. Without further information, which statement is true? 
A. The system has 78% precision and recall. 
B. The system has a precision of 78% and a recall of 22%. 
C. The system is equally reliable for classifying any one of the eight logo types 78% of the time. 
D. The accuracy of the system for any one class cannot be determined. 
Answer: C

In the context of a IBM Watson cognitive virtual agent, what type of input data can the IBM Watson Conversation service consume? 
A. images 
B. speech 
C. string of text 
D. audio 
Answer: A

Which statement best describes the unsupervised learning process when performing clustering on a large data set? 
A. The system understands the significance of the data points and a cognitive sub-process clusters the data, removing the need for a human supervisor. 
B. A neural network is deployed in unsupervised mode to determine to which cluster a data point belongs. 
C. Examples of data points and their associated cluster are fed into the system allowing it to learn and generalize for the rest of the data set. 
D. Data points are compared at random and the differences between their features are used to determine whether they belong in the same cluster or not. 
Answer: D

In neural networks, which method enables a developer to obtain the output and compare it with the real value to get the error? 
A. Back Propagation 
B. Cognitive Propagation 
C. Forward Propagation 
D. Answer Propagation 
Answer: A


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Tuesday, June 20, 2017

Passtcert IBM C7020-230 dumps pdf

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Share some IBM Certified Application Developer C7020-230 exam questions and answers below.
In the context of a IBM Watson cognitive virtual agent, what type of input data can the IBM Watson Conversation service consume? 
A. images 
B. speech 
C. string of text 
D. audio 
Answer: A

A cognitive FAQ widget on a company’s support portal allows users to ask questions related to the company and its products. Which two IBM Watson services will create this pattern? (Choose two.) 
A. Tradeoff Analytics 
B. Natural Language Understanding service Semantic Roles API 
C. Conversation 
D. Discovery 
E. Personality Insights 
Answer: B,C

Which statement best describes the unsupervised learning process when performing clustering on a large data set? 
A. The system understands the significance of the data points and a cognitive sub-process clusters the data, removing the need for a human supervisor. 
B. A neural network is deployed in unsupervised mode to determine to which cluster a data point belongs. 
C. Examples of data points and their associated cluster are fed into the system allowing it to learn and generalize for the rest of the data set. 
D. Data points are compared at random and the differences between their features are used to determine whether they belong in the same cluster or not. 
Answer: D

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