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質問 1：
When is it appropriate to include multiple classes for a sample text in the training data for
IBM Watson Natural Language Classifier?
A. When the classifier has been retrained and we want to preserve old classes from a previous training set.
B. When text is very detailed such that identifying a single class may cause inaccuracies.
C. When experts interpret the same text in different ways, multiple classes support those interpretations.
D. When the text utterances are very similar in nature and we want to mark slight differences using classes
正解：D
質問 2：
Which game development engine has a corresponding IBM Watson SDK?
A. Minecraft
B. OGRE
C. Cryengine
D. Unity
正解：D
質問 3：
Which IBM Watson Natural Language Understanding service is used to identify Subject-Action-Object triples in unstructured text?
A. Categories
B. Linked Data Support
C. Keywords
D. Semantic Roles
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
Where is the source code for the IBM Watson SDK located?
A. IBM Bluemix documentation
B. IBM Watson Developer Cloud repository on Github
C. IBM DeveloperWorks site
D. IBM Watson Knowledge Center
正解：B
質問 5：
Which IBM Watson service would enable retailers to help their customers choose the appropriate product by balancing multiple product features?
A. Personality Insights
B. Tradeoff analytics
C. Discovery
D. Natural Language Understanding
正解：B
質問 6：
Which actions depict configuring IBM Watson Discovery service collection?
A. Converting, enriching and normalizing sample data.
B. Determining how much space must be allocated to an environment.
C. Switching from a default configuration to a custom configuration using uploaded personal data.
D. Testing which query methods result in accurate answers.
正解：A
質問 7：
Which combination of three IBM Watson services is applicable to assist an agent at a phone-based customer call center? (Choose three.)
A. Conversation
B. Tradeoff Analytics
C. Speech to Text
D. Natural Language Classifier
E. Discovery
F. Relationship Extraction
正解：C,D,F
解説: (Pass4Test メンバーにのみ表示されます)
When is it appropriate to include multiple classes for a sample text in the training data for
IBM Watson Natural Language Classifier?
A. When the classifier has been retrained and we want to preserve old classes from a previous training set.
B. When text is very detailed such that identifying a single class may cause inaccuracies.
C. When experts interpret the same text in different ways, multiple classes support those interpretations.
D. When the text utterances are very similar in nature and we want to mark slight differences using classes
正解：D
質問 2：
Which game development engine has a corresponding IBM Watson SDK?
A. Minecraft
B. OGRE
C. Cryengine
D. Unity
正解：D
質問 3：
Which IBM Watson Natural Language Understanding service is used to identify Subject-Action-Object triples in unstructured text?
A. Categories
B. Linked Data Support
C. Keywords
D. Semantic Roles
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
Where is the source code for the IBM Watson SDK located?
A. IBM Bluemix documentation
B. IBM Watson Developer Cloud repository on Github
C. IBM DeveloperWorks site
D. IBM Watson Knowledge Center
正解：B
質問 5：
Which IBM Watson service would enable retailers to help their customers choose the appropriate product by balancing multiple product features?
A. Personality Insights
B. Tradeoff analytics
C. Discovery
D. Natural Language Understanding
正解：B
質問 6：
Which actions depict configuring IBM Watson Discovery service collection?
A. Converting, enriching and normalizing sample data.
B. Determining how much space must be allocated to an environment.
C. Switching from a default configuration to a custom configuration using uploaded personal data.
D. Testing which query methods result in accurate answers.
正解：A
質問 7：
Which combination of three IBM Watson services is applicable to assist an agent at a phone-based customer call center? (Choose three.)
A. Conversation
B. Tradeoff Analytics
C. Speech to Text
D. Natural Language Classifier
E. Discovery
F. Relationship Extraction
正解：C,D,F
解説: (Pass4Test メンバーにのみ表示されます)
樋口** -
これで受かる気がしたっと思って受験して本当に受かりました。すごい。