SAS Institute A00-405 SAS Viya 3.5 Natural Language Processing and Computer Vision
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QUESTION 1, Which statement is TRUE about the QN modifier as it is used in the LITI language? A.The @N modifier is a NOT (negation) modifier B.The @N modifier is available in all concept rules C.The @N modifier expands a noun term to include all noun stemmed variants of the term D.The @N modifier specifies the starting byte location N where a word should be found Answer: A
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QUESTION 2, Which statement is TRUE regarding the document relevancy scores generated in the Topics Node? A.Relevancy scores enable you to emphasize certain user-specified documents B.Relevancy scores can be adjusted to increase the relevance of a document C.Relevancy scores are values between -1 and 1 where values that are closer to absolute 1 imply greater relevance D.Relevancy scores are normalized values to account for document length Answer: C
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QUESTION 3, You have a very large set of documents you are preparing for SAS Visual Text Analytics Which two actions should you perform during data preparation? (Choose two) A.Use CHAR data type tor the Text variable with a long length B.Have enough number of documents for each category label C.Sample the data first for subsequent interactive model development D.Keep all the character variables in addition to the Text variable Answer: A, C
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QUESTION 4, Which option is the correct activation (unction for the output layer in a CNN model trained to classify an image belonging to one of the n classes (CI. C2, C3, , Cn)? A.Sigmoid B.ReLU C.TanH D.Softmax Answer: A
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QUESTION 5, How many channels does a BGR image contain? Enter your numeric answer in the space above Answer: 3
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