Exam Details

  • Exam Code
    :A00-405
  • Exam Name
    :SAS Viya 3.5 Natural Language Processing and Computer Vision
  • Certification
    :SAS Institute Certifications
  • Vendor
    :SAS Institute
  • Total Questions
    :60 Q&As
  • Last Updated
    :Mar 29, 2025

SAS Institute SAS Institute Certifications A00-405 Questions & Answers

  • Question 51:

    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. 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

    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. Save the output data from the Topics results window and use the Explore and Visualize Data component of SAS Viya

    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

  • Question 52:

    Which statement is TRUE concerning the "dropout" option?

    A. It specifies the number of neurons to drop from each layer of the network

    B. It specifies the percentage of neurons to drop from a given layer of the network

    C. It specifies the percentage of neurons to drop from the entire network

    D. It specifies the number of layers to drop from the entire network

  • Question 53:

    Given the category rule:

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

    A. The patient was diagnosed with Alzheimer's disease Side effects include decreased cognitive ability and memory issues

    B. Side effects include decreased cognitive ability and memory issue

    C. The patient was diagnosed with Alzheimers disease Side effects include decreased cognitive ability and memory issues

    D. Alzheimer s side effects include decreased cognitive ability and memory issues

  • Question 54:

    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 assigns a classification to each element in the sequence

    B. The RNN predicts the next value in a sequence

    C. The RNN assigns a classification to the entire sequence

    D. The RNN predicts the previous value in a sequence

  • Question 55:

    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. 30

    B. 60

    C. 15

    D. 45

  • Question 56:

    Which statement is TRUE about importing documents into SAS Visual Text Analytics using the Explore and Visualize Data menu?

    A. You must include your document collection in a parent folder

    B. You must convert your document collection to a SAS data set

    C. You must correct misspelled words in the document collection

    D. You must store the documents as txt files in a folder

  • Question 57:

    Given these two addLayer action calls:

    How many trainable parameters for layer fc2?

    A. 70

    B. 1050

    C. 1020

    D. 1000

  • Question 58:

    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

  • Question 59:

    ("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)

    Select and Place:

  • Question 60:

    ("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.

    Select and Place:

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