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IBM C1000-012 問題集

C1000-012
C1000-012日本語版
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試験コード:C1000-012

試験名称:IBM Watson Application Developer V3.1

最近更新時間:2025-04-27

問題と解答:全100問

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質問 1:
What is an example of an utterance used to train an intent in the IBM Watson Assistant service?
A. +++sys-ent
B. #hello
C. "see you later!"
D. @location
正解:C
解説: (Topexam メンバーにのみ表示されます)

質問 2:
What is the definition of false positive in the context of measuring accuracy of a machine learning system?
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 high confidence for all answers, both correct and incorrect.
D. The system returns only low confidence scores for all answers.
正解:A

質問 3:
Which statement is true about relationships in Watson Knowledge Studio type system?
A. Relationships can occur between more than two entities.
B. Relationships can occur in more than one direction between entities.
C. Relationships can be implied as long as there is sufficient statistical probability to warrant the inference.
D. Relationships must be between only two entities.
正解:D
解説: (Topexam メンバーにのみ表示されます)

質問 4:
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?
A. Yes, because the journalist will combine the Personality Insight with Speech to Test service to accomplish this goal
B. Yes, the Personality Insights services will provide details about the personality of this political candidate
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
正解:C

質問 5:
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?
A. Speech to Speech pattern designed with: Speech to Text, Relationship Extraction and Text to Speech
B. Conversational pattern designed with: Watson Assistant service, Natural Language Understanding and Entity Extraction
C. Empathy Analysis pattern designed with: Personality Insights and Watson Assistant
D. Audio Analysis pattern designed with: Speech to Text and Tone Analysis
正解:B

質問 6:
Which statement is a recommended practice when creating a chatbot with IBM Watson Assistant?
A. Use a separate workspace for each intent
B. Start with the dialog before defining any intents or entities
C. Increase the amount of the transcribed text to improve the quality and confidence of the extracted concepts
D. Define different opening sentences in the dialog flow to prevent repetitive conversations where the dialog always asks the same questions
正解:D

質問 7:
What are two advantages gained by using IBM Cloud as the application platform for an application using Watson services? (Choose two.)
A. Environmental, operational, and functional Security are built into the IBM Cloud platform
B. The IBM Cloud application developer can choose among multiple release versions of the Cloud Foundry framework
C. IBM Cloud is built on proprietary APIs which provide competitive advantages
D. IBM Cloud promotes 12-factor methodology since IBM Cloud is deployed exclusively as a public cloud model
E. Scaling application capacity is simple for applications following modern design (such as 12-factor methodology)
正解:A,B

質問 8:
The IBM Watson Visual Recognition service is designed to work best with which types of images?
A. drawings
B. photos
C. x-rays
D. graphics
正解:D

質問 9:
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?
A. The classifier has a high precision and a high recall
B. The classifier has a low precision and a high recall
C. The classifier has a high precision and a low recall
D. The classifier has a low precision and a low recall
正解:A

C1000-012 関連試験
C1000-012J - IBM Watson Application Developer V3.1 (C1000-012日本語版)
連絡方法  
 support@topexam.jp サポート

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