View All A00-405 Actual Exam Questions, Answers and Explanations for Free [Q32-Q54]

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View All A00-405 Actual Exam Questions, Answers and Explanations for Free

A00-405 Exam Free Practice Test with100% Accurate Answers


SASInstitute A00-405 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Create and explore a project in SAS® Visual Text Analytics
  • Use convolutional layers in a Convolutional Neural Network (CNN)
Topic 2
  • Use fully connected layers in a Convolutional Neural Network (CNN)
  • Identifying Image Patterns Using Computer Vision Techniques
Topic 3
  • Use rules to identify documents belonging to specific categories
  • Use output layers in a Convolutional Neural Network (CNN)
Topic 4
  • Identifying Text Patterns Using Natural Language Processing Techniques
  • Use the Topics Node to extract machine-generated topics
Topic 5
  • Tune the Hyperparameters of a Convolutional Neural Network (CNN)
  • Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
Topic 6
  • Explain the impact of various architectural designs
  • Use a Recurrent Neural Network (RNN) to recognize patterns
Topic 7
  • Use regularization techniques
  • Loading and Exploring Data
Topic 8
  • Use padding in a Convolutional Neural Network (CNN)
  • Import documents for analysis

 

NEW QUESTION 32
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: C

 

NEW QUESTION 33
Complete the concept rule below with the rule type used to extract drug dosages.

Enter your answer in the field above

Answer:

Explanation:
50

 

NEW QUESTION 34
Given the code to score images:

What is the actual batch size?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B

 

NEW QUESTION 35
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: D

 

NEW QUESTION 36
Which node does not produce score code?

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

Answer: B

 

NEW QUESTION 37
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 38
Given the code specifying the three initial layers of a convolutional network:

What is the size of me output tensor (image) ot pool?

  • A. 5*5
  • B. 10*10
  • C. 4*4
  • D. 8*8

Answer: B

 

NEW QUESTION 39
Given the category rule:

Which document would be identified based on the text strings in the answer options?

  • A. Side effects include decreased cognitive ability and memory issue
  • B. Alzheimer s side effects include decreased cognitive ability and memory issues
  • C. The patient was diagnosed with Alzheimer's disease Side effects include decreased cognitive ability and memory issues
  • D. The patient was diagnosed with Alzheimers disease Side effects include decreased cognitive ability and memory issues

Answer: D

 

NEW QUESTION 40
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 values between -1 and 1 where values that are closer to absolute 1 imply greater relevance
  • C. Relevancy scores are normalized values to account for document length
  • D. Relevancy scores can be adjusted to increase the relevance of a document

Answer: B

 

NEW QUESTION 41
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. Keep all the character variables in addition to the Text variable
  • C. Sample the data first for subsequent interactive model development
  • D. Have enough number of documents for each category label

Answer: A,C

 

NEW QUESTION 42
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 is independent of both the previous and subsequent elements of the sequence
  • B. The data at any given point in time depends only on the previous elements of the sequence
  • C. The data at any given point in time depends on both the previous and subsequent elements of the sequence
  • D. The data at any given point in time depends only on the subsequent elements of the sequence

Answer: C

 

NEW QUESTION 43
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 satisfies a previously defined INCURSION category rule but overrides the primary Boolean operator in the original rule with the OR operator
  • C. It contains the term "incursion" or any of the stemmed versions of "incursion '
  • D. It exhibits the topic named INCURSION

Answer: B

 

NEW QUESTION 44
Which action set is needed to upload a picture into memory using SAS?

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

Answer: A

 

NEW QUESTION 45
Given an equivalent number of neurons why would you use an LSTM-based recurrent neural network over a conventional recurrent neural network?

  • A. Implementation advantages - easier lo parallelize
  • B. Size - uses (ewer parameters
  • C. Efficiency-requires fewer computations
  • D. Sequence memory - learns data dependencies spanning more sequence elements

Answer: B

 

NEW QUESTION 46
Refer to the Exhibit tabs.


The Aviation Safely Reporting System document collection contains safety reports related to aviation A term map is created fortIhe term "incursion" The term "taxiway" is directly connected to the term "incursion" Which statement is consistent with the exhibit?

  • A. The document collection contains 1,888 documents, and the term "taxiway" appears in 80 documents
  • B. The term "incursion" appears in 1,888 documents and the term "taxrway" appears in 80 of those 1.888 documents
  • C. The term "taxiway" appears in 1 888 documents, and the term "incursion" appears in 80 of those 1.888 documents
  • D. The document collection contains 1,888 documents, and the terms "taxiway" and "incursion" appear together in 80 documents

Answer: A

 

NEW QUESTION 47
How many channels does a BGR image contain?

Enter your numeric answer in the space above

Answer:

Explanation:
3

 

NEW QUESTION 48
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

Answer: C

 

NEW QUESTION 49
Which statement is TRUE regarding the Topics node in SAS Visual Text Analytics''

  • A. A single document contains only one topic
  • B. You can split or merge topics
  • C. A custom topic assigns a term relevancy score of 1 to each document containing the term.
  • D. The term relevancy score ranges front 0 to 1.

Answer: A

 

NEW QUESTION 50
Which statement is TRUE regarding topic creation in the Topics node1?

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

Answer: B

 

NEW QUESTION 51
Given the code:

How many trainable parameters do these lines add to the model

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A

 

NEW QUESTION 52
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 term table for a derived PRICE topic in the Topics node
  • B. The "show similarity scores" feature for the term price in the Kept Terms pane of the Text Parsing node
  • C. The "create rule from selected elements" feature for the term price in the Textual Elements pane of the Categories node
  • D. The "matched documents" feature for a custom PRICE concept in the Concepts node

Answer: A

 

NEW QUESTION 53
Which feature is enabled in the default settings of the Text Parsing Node?

  • A. minimum number of documents
  • B. start list
  • C. synonym list
  • D. misspelling detection

Answer: D

 

NEW QUESTION 54
......

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