[2022年03月]更新のA00-405ブレーン問題集でA00-405問題で最高得点を目指すため今すぐ試そう [Q25-Q43]

[2022年03月]更新のA00-405ブレーン問題集でA00-405問題で最高得点を目指すため今すぐ試そう

A00-405試験問題集でベスト問題集を無料で試そうA00-405試験問題

質問 25
Which statement is TRUE about the QN modifier as it is used in the LITI language?

• A. The @N modifier is available in all concept rules
• B. The @N modifier expands a noun term to include all noun stemmed variants of the term
• C. The @N modifier specifies the starting byte location N where a word should be found
• D. The @N modifier is a NOT (negation) modifier

正解: D

 

質問 26
Which statement is TRUE concerning the "dropout" option?

• A. It specifies the percentage of neurons to drop from the entire network
• B. It specifies the number of layers to drop from the entire network
• C. It specifies the percentage of neurons to drop from a given layer of the network
• D. It specifies the number of neurons to drop from each layer of the network

正解: C

 

質問 27
Assume you are using an addLayer call with dcopout=o. 5 to add a pooling layer into a CNN model What is the outcome of the addLayer call?

• A. The output feature map size is reduced by half on width and height
• B. The output feature map size is increased 2 times on width and height.
• C. The values from half of the input neurons to the pooling layer are randomly set to zero
• D. The values from halt of the output neurons of the pooling layer ate randomly set to zero

正解: D

 

質問 28
Refer to the exhibit.

Which pooling summary operation and minimum square filter size (with stride of four) would generate the output feature map1?

正解:

解説:
1, 1

 

質問 29
Which concept rule must be used for generating factual extraction within a sentence containing machine learning and text analytics?
A)

B)

C)

D)

• A. Option D
• B. Option B
• C. Option A
• D. Option C

正解: D

 

質問 30
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 categorical group variable
• B. A column of text and a document ID
• C. A column of text
• D. A column of text, a document ID and a categorical group variable

正解: B

 

質問 31
Refer to the exhibit.

How many output feature maps would be created by a convolutional layer with four filters applied to a three channel input?

Enter your numeric answer in the space above.

正解:

解説:
12

 

質問 32
("Note: This is an interactive item Follow the instructions to answer the question Scroll bars may appear it the windows are too smart Each window can be resized by dragging on the 5 circles located between windows) You are building a CNN for an image classification task Drag the layers on the left to the slots on the right in the appropriate order (from top to bottom) for this task You have the number of layers listed below
* Input Layer (1)
* Output Layer (1)
* Convolutional Layer (1)
* Fully Connected Layer(2>
* Pooling Layer(1)

正解:

解説:

 

質問 33
Which option of the loadlmage action can be used to load images in the subdirectory tree of a directory?

• A. subdirs
• B. recurse
• C. repeat
• D. reload

正解: C

 

質問 34
Consider the category rule:

Which statement is TRUE about a document that satisfies this rule?

• A. It exhibits one or more of the items used to define the INCURSION concept
• B. It exhibits the topic named INCURSION
• C. It contains the term "incursion" or any of the stemmed versions of "incursion '
• D. It satisfies a previously defined INCURSION category rule but overrides the primary Boolean operator in the original rule with the OR operator

正解: D

 

質問 35
Which action set is needed to upload a picture into memory using SAS?

• A. DeepLearn
• B. LoadActionSet
• C. Table
• D. Image

正解: A

 

質問 36
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. 1
• C. "All"
• D. 2

正解: C

 

質問 37
Which node does not produce score code?

• A. Concepts
• B. Text Parsing
• C. Topics
• D. Sentiment

正解: C

 

質問 38
Refer to the exhibit (width'height'stride, d=depth):

What is the cardinality within this block*?

• A. 0
• B. 1
• C. 2
• D. 3

正解: D

 

質問 39
Which statement is TRUE regarding topic creation in the Topics node1?

• A. Custom topics can be generated using user-specified terms
• B. Term density can be adjusted using a sliding bar in the Term Cloud panel
• C. Topics Map can be used to explore the topic and terms associations
• D. Exact document density threshold value can be supplied in the Edit Topics Properties window

正解: C

 

質問 40
Consider the CONCEPT rule:
CONCEPT:red@A
Which choice represents a possible result from this CONCEPT rule?

• A. Redness a noun having red as a root word
• B. Redraw begins with the word red and then matches any set of alpha characters
• C. Reds, a plural variant of the noun red
• D. Redder, a variant of the adjective red

正解: D

 

質問 41
Refer to the exhibit.

Exhibit A details the structure of a convolutional model Exhibit B provides details o( each layer in the model The blue arrowed lines represent connections between layers What is the depth of the residual layer depicted above'?

• A. 0
• B. 1
• C. 2
• D. 3

正解: D

 

質問 42
Which statements are TRUE about importing SAS Contextual Analysis projects into SAS Visual Text Analytics when creating a new project? (Choose two)

• A. All machine generated topics and sentiment scores are imported
• B. All custom categories are imported
• C. All sentiment classification and probability scores are imported
• D. All custom concept and some predefined concept settings are imported

正解: A,B

 

質問 43
......

SASInstitute A00-405 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Use padding in a Convolutional Neural Network (CNN) Import documents for analysis
トピック 2	Explain the impact of various architectural designs Use a Recurrent Neural Network (RNN) to recognize patterns
トピック 3	Use regularization techniques Loading and Exploring Data
トピック 4	Load and prepare image data Score new image data
トピック 5	Use rules to identify documents belonging to specific categories Use output layers in a Convolutional Neural Network (CNN)

 

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