C7020-230 Exam - Free Actual Q&As, Page 1

C7020-230 Actual Exam Questions

Last updated on Dec. 7, 2024.

Vendor:IBM

Exam Code:C7020-230

Exam Name:IBM Watson V3 Application Development

Exam Questions:63

Topic 1 - Single Topic

Question #1 Topic 1

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.

Reveal Solution Discussion

Correct Answer: C 🗳️
Reference:
https://books.google.com.pk/books?id=L1j3AwAAQBAJ&pg=PA66&lpg=PA66&dq=ibm+watson+precision+and
+recall&source=bl&ots=b96MxWy6PG&sig=Bap-4X_CxkeGzWoJp-iP5Fay__M&hl=en&sa=X&redir_esc=y#v=onepage&q=ibm%20watson%20precision%20and%
20recall&f=false

Question #2 Topic 1

A cognitive FAQ widget on a companys 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

Reveal Solution Discussion

Correct Answer: BC 🗳️
Reference:
https://developer.ibm.com/watson/blog/2015/11/11/watson-question-and-answer-service-to-be-withdrawn/

Question #3 Topic 1

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.