SASInstitute New 2022 A00-405 Test Tutorial (Updated 62 Questions)
A00-405 Exam Questions Dumps, Selling SASInstitute Products
SASInstitute A00-405 Exam Syllabus Topics:
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NEW QUESTION 35
Which action set is needed to upload a picture into memory using SAS?
- A. Image
- B. Table
- C. LoadActionSet
- D. DeepLearn
Answer: D
NEW QUESTION 36
Given an equivalent number of neurons why would you use an LSTM-based recurrent neural network over a conventional recurrent neural network?
- A. Size - uses (ewer parameters
- B. Efficiency-requires fewer computations
- C. Implementation advantages - easier lo parallelize
- D. Sequence memory - learns data dependencies spanning more sequence elements
Answer: A
NEW QUESTION 37
What computation is performed when applying a neural network with Batch Normalization to test data?
- A. Normalizations are applied using parameters learned during testing
- B. µ and o^2 are estimated using an exponentially weighted average across tram and test sets
- C. µ and o^2 are estimated using an exponentially weighted average across test set
- D. Normalizations are applied using parameters learned during training
Answer: B
NEW QUESTION 38
Consider the category rule:
Which statement is TRUE about a document that satisfies this rule?
- A. It contains the term "incursion" or any of the stemmed versions of "incursion '
- B. It exhibits the topic named INCURSION
- C. It exhibits one or more of the items used to define the INCURSION concept
- D. It satisfies a previously defined INCURSION category rule but overrides the primary Boolean operator in the original rule with the OR operator
Answer: D
NEW QUESTION 39
Which is the correct syntax for using a previously defined LITI concept rule, ''Date_of_Diagnosis'' in a category rule?
- A. (_tmac, " [Date_Of_Diagnosis} ")
- B. (AND, "{Date_Of_Diagnosis)"} ")
- C. (AND, "[Data_Off_Diagnosis]'} ")
- D. (_tmac, "{Date_Of_Diagnosis} ")
Answer: D
NEW QUESTION 40
Assume:
* You have images In directories user/animals/cats and/user/animals/dogs
* You have a path caslib with name that points to the directory /user.
What value can you use for the LabelLevels parameter of the laodimage action to obtains the string cats and dogs in the _label column of the output table?
- A. 0
- B. "All"
- C. 1
- D. 2
Answer: B
NEW QUESTION 41
The following text siring "Wonder, Wondering, Wonderful, Wonderment, Wonders" is tested using the Category Rule (OR, "wonder0"> Which terms are highlighted in the text string?
- A. Wonder Wondering, Wonders
- B. Wonderful, Wonderment, Wonders
- C. Wonders
- D. Wonder Wondering
- E. Wonder Wonders
Answer: D
NEW QUESTION 42
Given the code specifying the three initial layers of a convolutional network:
What is the size of me output tensor (image) ot pool?
- A. 10*10
- B. 8*8
- C. 4*4
- D. 5*5
Answer: A
NEW QUESTION 43
What is the minimum information required in an input data set prior to creating a SAS Visual Text Analytics project?
- A. A column of text and a document ID
- B. A column of text, a document ID and a categorical group variable
- C. A column of text and a categorical group variable
- D. A column of text
Answer: A
NEW QUESTION 44
Consider the CONCEPT rule:
CONCEPT:red@A
Which choice represents a possible result from this CONCEPT rule?
- A. Reds, a plural variant of the noun red
- B. Redraw begins with the word red and then matches any set of alpha characters
- C. Redder, a variant of the adjective red
- D. Redness a noun having red as a root word
Answer: C
NEW QUESTION 45
What are two reasons to use a pooling layer in a Convolution Neural Network (CNN)? (Choose two)
- A. to increase granularity of information
- B. to make the feature map invariant to transformation
- C. to extract a summarized value from an area of the image
- D. to extract features of different spatial scale
Answer: A,D
NEW QUESTION 46
Refer to the exhibit.
What is the false negative rate for the category that has the 2nd worst average measure1?
- A. Less than 1
- B. Between 1 and 2
- C. Between 2 and 3
- D. Greater than 5
Answer: C
NEW QUESTION 47
Assume no padding is used for the input.
What is the output feature map size created by the cross-correlation between a three color channel, 10*10 input and a 4"4 filter that has a stride of two?
Enter your numeric answers in the spaces above
Answer:
Explanation:
3*3
NEW QUESTION 48
CASL
Python
Review the code in the CASL and Python tabs The code sets are the same but in different languages Given this code which statement correctly describes this recurrent neural network built by the code set1?
- A. The RNN predicts the previous value in a sequence
- B. The RNN assigns a classification to the entire sequence
- C. The RNN assigns a classification to each element in the sequence
- D. The RNN predicts the next value in a sequence
Answer: C
NEW QUESTION 49
How many channels does a BGR image contain?
Enter your numeric answer in the space above
Answer:
Explanation:
3
NEW QUESTION 50
Which statements are TRUE regarding SAS Visual Text Analytics projects? (Choose two)
- A. Users can promote a SAS Visual Text Analytics 8 2 project to SAS Visual Text Analytics 8 3 project
- B. Users can include nodes from other Model Studio projects, including SAS Visual Forecasting and SAS Visual Data Mining and Machine B. Learning projects, in a SAS Visual Text Analytics pipeline
- C. A SAS Visual Text Analytics project created by one user cannot be accessed by another user
- D. After creating a project in SAS Visual Text Analytics users can run the project with a different data source
Answer: C
NEW QUESTION 51
An analyst wants to identify terms that might be used as keywords to search a document collection looking for consumer comments related to price Using which SAS Visual Text Analytics node and feature would be most efficient for this business need?
- A. The "show similarity scores" feature for the term price in the Kept Terms pane of the Text Parsing node
- B. The term table for a derived PRICE topic in the Topics node
- C. The "matched documents" feature for a custom PRICE concept in the Concepts node
- D. The "create rule from selected elements" feature for the term price in the Textual Elements pane of the Categories node
Answer: B
NEW QUESTION 52
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 are normalized values to account for document length
- C. Relevancy scores are values between -1 and 1 where values that are closer to absolute 1 imply greater relevance
- D. Relevancy scores can be adjusted to increase the relevance of a document
Answer: C
NEW QUESTION 53
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