File Info
| Exam | IBM Watson Application Developer V3.1 |
| Number | C1000-012 |
| File Name | IBM.C1000-012.TestKing.2019-07-28.47q.vcex |
| Size | 155 KB |
| Posted | Jul 28, 2019 |
| Download | IBM.C1000-012.TestKing.2019-07-28.47q.vcex |
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Demo Questions
Question 1
What is the purpose of the IBM Watson Natural Language Classifier service?
- Interpret the intent behind text and returns a corresponding classification with associated confidence levels
- Reduce the number of random utterances consideration, by obtaining a set of uncorrelated utterances
- Translate a natural language sentence into a syntactic representation such as a parse tree
- Group a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups
Correct answer: A
Explanation:
IBM Watson Natural Language Classifier is a service that enables developers without a background in machine learning or statistical algorithms to create natural language interfaces for their applications, interprets the intent behind text and returns a corresponding classification with associated confidence levels and the return value can then be used to trigger a corresponding action, such as redirecting the request or answering a question. IBM Watson Natural Language Classifier is a service that enables developers without a background in machine learning or statistical algorithms to create natural language interfaces for their applications, interprets the intent behind text and returns a corresponding classification with associated confidence levels and the return value can then be used to trigger a corresponding action, such as redirecting the request or answering a question.
Question 2
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?
- The classifier has a low precision and a high recall
- The classifier has a low precision and a low recall
- The classifier has a high precision and a high recall
- The classifier has a high precision and a low recall
Correct answer: C
Explanation:
Question 3
What are two advantages gained by using IBM Cloud as the application platform for an application using Watson services? (Choose two.)
- IBM Cloud is built on proprietary APIs which provide competitive advantages
- The IBM Cloud application developer can choose among multiple release versions of the Cloud Foundry framework
- IBM Cloud promotes 12-factor methodology since IBM Cloud is deployed exclusively as a public cloud model
- Environmental, operational, and functional Security are built into the IBM Cloud platform
- Scaling application capacity is simple for applications following modern design (such as 12-factor methodology)
Correct answer: BD
Question 4
What connectivity protocols are supported by IBM Watson services?
- REST style using either XML/HTTP and JSON/HTTP
- JSON/HTTP or JSON/RTP
- REST style using JSON/HTTP only
- SOAP/HTTP and JSON/HTTP
Correct answer: A
Question 5
Which type of learning is K-means clustering?
- automatic learning
- supervised learning
- unsupervised learning
- reinforcement learning
Correct answer: C
Explanation:
Reference: https://dataplatform.cloud.ibm.com/docs/content/wsj/spss-visualization/spss-viz-k-means-overview.html Reference: https://dataplatform.cloud.ibm.com/docs/content/wsj/spss-visualization/spss-viz-k-means-overview.html
Question 6
As a developer begins to construct a conversational agent using IBM Watson Assistant service, which activities would they start with?
- Gather representative questions
- Design the dialog flow
- Add new content based on user activity
- Deploy it on the local machine before deploying it live
Correct answer: B
Explanation:
Reference: https://developer.ibm.com/tutorials/cc-watson-chatbot-conversation-nlu/ Reference: https://developer.ibm.com/tutorials/cc-watson-chatbot-conversation-nlu/
Question 7
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?
- Yes, the Personality Insights services will provide details about the personality of this political candidate
- Yes, because the journalist will combine the Personality Insight with Speech to Test service to accomplish this goal
- No, there is not enough text for the Personality Insights service to analyze and provide reliable results
- No, the Personality Insights service provides only information about the emotional stat of the candidate
Correct answer: C
Explanation:
Reference: https://developer.ibm.com/watson/blog/2016/01/12/personality-meets-behavior-the-new-ibm-watson-personality-insights-demo/ Reference: https://developer.ibm.com/watson/blog/2016/01/12/personality-meets-behavior-the-new-ibm-watson-personality-insights-demo/
Question 8
Where can the IBM Watson AI service credentials be retrieved when running an application on IBM Cloud?
- configuration file such as “credentials.plist”
- token generation service
- from the Service Credentials panel of the IBM Cloud service
- HTTP Authorization request header
Correct answer: C
Explanation:
Reference: https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/ml-get-wml-credentials.html Reference: https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/ml-get-wml-credentials.html
Question 9
Which three Watson AI capabilities are applicable to analyze data insights on the text of a tweet on Twitter? (Choose three.)
- keyword extraction
- natural scene text recognition
- text-to-speech
- entity extraction
- text classification
- speech recognition
Correct answer: ADE
Question 10
What combination of IBM Watson services would best implement the Agent Assist pattern?
- Speech to Text and Personality Insights
- Watson Assistant and Discovery
- Watson Assistant and Visual Recognition
- Natural Language Classifier and Visual Recognition
Correct answer: B
