If you want to pass A00-405 SAS Viya 3.5 Natural Language Processing and Computer Vision exam to become SAS Certified Specialist,Passcert provides the latest SAS Institute A00-405 Exam Dumps that will help you to prepare sufficiently to achieve good results in Natural Language and Computer Vision Specialist A00-405 exam.SAS Institute A00-405 Exam Dumps are designed according to real exam patterns. It can boost confidence and improve weaknesses so that you can be able to pass the SAS Institute A00-405 exam on the first try.

For data scientists, text and image analysts, AI specialists and others who analyze text and image data to recognize patterns. Successful candidates are familiar with SAS Model Studio for SAS Viya, SAS Visual Text Analytics and SAS Data Mining and Machine Learning . They are skilled in tasks such as: text topic detection, sentiment analysis, image processing, image classification and deep learning with static and dynamic data.

This exam is administered by SAS and Pearson VUE.

60 scored multiple-choice and short-answer questions.

(Must achieve score of 70 percent correct to pass)

110 minutes to complete exam.

Use exam ID A00-405; required when registering with Pearson VUE.

This exam is based on SAS Viya 3.5.

Exam fee: $255 AUD. 

Candidates who earn this credential will have earned a passing score on the SAS Viya 3.5 Natural Language Processing and Computer Vision exam.

Import documents for analysis

Create and explore a project in SAS Visual Text Analytics

Load and prepare image data

Use the Concepts and Text Parsing Nodes to extract Terms and Concepts

Write concept rules

Use the Topics Node to extract machine-generated topics

Use rules to identify documents belonging to specific categories

Write category rules

Use a Recurrent Neural Network (RNN) to recognize patterns

Use convolutional layers in a Convolutional Neural Network (CNN)

Use padding in a Convolutional Neural Network (CNN)

Use pooling in a Convolutional Neural Network (CNN)

Use fully connected layers in a Convolutional Neural Network (CNN)

Use output layers in a Convolutional Neural Network (CNN)

Tune the Hyperparameters of a Convolutional Neural Network (CNN)

Score new image data

Explain the impact of various architectural designs

Use regularization techniques

Regularization in neural networks represents a set of techniques devised to accomplish what?

A.Reduce overfitting

B.Downsample a feature map

C.Minimize the toss function

D.Calculate a softmax

Answer:C

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.Have enough number of documents for each category label

C.Sample the data first for subsequent interactive model development

D.Keep all the character variables in addition to the Text variable

Answer:A, C

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

Answer:B

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

Answer:A

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