Updated Feb-2022 A00-405 Exam Practice Test Questions
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SASInstitute A00-405 Exam Syllabus Topics:
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NEW QUESTION 32
("Not*: This is an interactive item Follow the instructions to answer the question Scroll bars may appear if the windows are too small Each window can be re-sized by dragging on the 5 circles located between windows) Complete the statement on the right with the options on the left.
Answer:
Explanation:
NEW QUESTION 33
Which statement describes a situation in which a bi-directional recurrent neural network is a better option than a unidirectional network?
- A. The data at any given point in time depends on both the previous and subsequent elements of the sequence
- B. The data at any given point in time is independent of both the previous and subsequent elements of the sequence
- C. The data at any given point in time depends only on the subsequent elements of the sequence
- D. The data at any given point in time depends only on the previous elements of the sequence
Answer: A
NEW QUESTION 34
Which statement is TRUE regarding topic creation in the Topics node1?
- A. Term density can be adjusted using a sliding bar in the Term Cloud panel
- B. Topics Map can be used to explore the topic and terms associations
- C. Custom topics can be generated using user-specified terms
- D. Exact document density threshold value can be supplied in the Edit Topics Properties window
Answer: B
NEW QUESTION 35
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 values from half of the input neurons to the pooling layer are randomly set to zero
- B. The output feature map size is increased 2 times on width and height.
- C. The values from halt of the output neurons of the pooling layer ate randomly set to zero
- D. The output feature map size is reduced by half on width and height
Answer: C
NEW QUESTION 36
("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)
Answer:
Explanation:
NEW QUESTION 37
Refer to the exhibit.
Which statement is TRUE?
- A. The word 'baseball' occurs three times in five document
- B. Three documents contain both 'basketball' and "baseball'
- C. Five documents contain 'baseball'
- D. Five documents contain 'basketball' or 'baseball'
Answer: C
NEW QUESTION 38
Given the code to score images:
What is the actual batch size?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION 39
Which statement is TRUE about the QN modifier as it is used in the LITI language?
- A. The @N modifier specifies the starting byte location N where a word should be found
- B. The @N modifier expands a noun term to include all noun stemmed variants of the term
- C. The @N modifier is a NOT (negation) modifier
- D. The @N modifier is available in all concept rules
Answer: C
NEW QUESTION 40
Fill in the blanks in the code extracted from the source code download from a Category node.
Your goal is to categorize the documents in the my Score Tbl table which has been uploaded to the myCasUb library The text column Comments are identified by myKey, and the scoring output tables are to be saved in the same library as the score table
Enter your answer in the fields above.
Answer:
Explanation:
mycas; name_of_input_data_set; perform; Name of the column to process in the input data set
NEW QUESTION 41
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 C
- B. Option B
- C. Option D
- D. Option A
Answer: A
NEW QUESTION 42
Complete the concept rule by adding the Boolean Operator that should be used to find concepts where the term
"best" appears within five tokens of the term "picture"
Enter your answer in the field above.
Answer:
Explanation:
DIST_5
NEW QUESTION 43
Which activation function should be used to obtain a single scalar with value in (-1,1)9
- A. TanH
- B. ReLU
- C. Logistic
- D. Softmax
Answer: A
NEW QUESTION 44
Which node does not produce score code?
- A. Topics
- B. Concepts
- C. Text Parsing
- D. Sentiment
Answer: A
NEW QUESTION 45
Refer to the exhibit (width'height'stride, d=depth):
What is the cardinality within this block*?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION 46
Refer to the exhibit.
The pixel intensity values for the top left corner of a 224x224 grey scale image are provided in Exhibit A This image is provided as input to the convolutional filter (Exhibit B) with equal zero padding of size 2 on all sides What is the first value in the feature map resulting from applying this filler (cross-correlation operation)?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION 47
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. Redder, a variant of the adjective red
- C. Redness a noun having red as a root word
- D. Redraw begins with the word red and then matches any set of alpha characters
Answer: B
NEW QUESTION 48
Which action set is needed to upload a picture into memory using SAS?
- A. Image
- B. LoadActionSet
- C. Table
- D. DeepLearn
Answer: D
NEW QUESTION 49
Which statements are TRUE regarding SAS Visual Text Analytics projects? (Choose two)
- A. A SAS Visual Text Analytics project created by one user cannot be accessed by another user
- B. After creating a project in SAS Visual Text Analytics users can run the project with a different data source
- C. Users can promote a SAS Visual Text Analytics 8 2 project to SAS Visual Text Analytics 8 3 project
- D. 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
Answer: A
NEW QUESTION 50
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. Wonderful, Wonderment, Wonders
- B. Wonders
- C. Wonder Wondering, Wonders
- D. Wonder Wondering
- E. Wonder Wonders
Answer: D
NEW QUESTION 51
Which statement is TRUE regarding the impact of node placement"?
- A. When a Concept node is placed before a Text Parsing node the term table is affected by the concepts defined in the Concept node and the concepts impact every node that follows the Text Parsing node
- B. When the Concept node appears before the Text Parsing node in the pipeline, the spell-checking features of the Concept node produce parent and child terms that show up as synonyms in the term table created by the Text Parsing node
- C. When a Concept node appears after a Text Parsing node, only kept terms derived by the Text Parsing node can be used in concept creation
- D. When a Concept node is placed after a Text Parsing node: the term table is affected by the concepts defined in the Concept node and the concepts impact every node that follows the Concept node
Answer: B
NEW QUESTION 52
Refer to the Exhibit Tab:
An analyst is trying to find Aviation Safety Reports (ASR) related to taxiway and runway incursions
* She does not know the LITI language
* She finds that 3 of the 14 derived topics have keywords related to incursion incidents.
* She would like to examine documents that discuss incursions from the current ASR document collection Which strategy will best support the analyst's goals?
- A. Save the output data from the Topics results window and use the Explore and Visualize Data component of SAS Viya
- B. Use the Merge topics feature of the Topics node to combine the 3 topics, add the merged topic as a category, and then use the Categories node to categorize documents with respect to the category rules derived using the merged topic Examine the matched documents for the incursion category rule.
- C. Use the Concepts node to define an INCURSION concept then include this concept in a category rule in the Categories node to identify documents having the INCURSION concept
- D. Add each of the 3 individual topics as categories then create a category rule in the Categories node that combines the three topic categories using a Boolean OR operation Examine the matched documents fix the incursion category rule
Answer: A
NEW QUESTION 53
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
Answer: A
NEW QUESTION 54
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