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SASInstitute A00-405 Exam Syllabus Topics:
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NEW QUESTION 10
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: B
NEW QUESTION 11
Given an equivalent number of neurons why would you use an LSTM-based recurrent neural network over a conventional recurrent neural network?
- A. Size - uses (ewer parameters
- B. Efficiency-requires fewer computations
- C. Implementation advantages - easier lo parallelize
- D. Sequence memory - learns data dependencies spanning more sequence elements
Answer: A
NEW QUESTION 12
Given the code to score images:
What is the actual batch size?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION 13
What is the primary purpose of the Topics node?
- A. Information retrieval
- B. Supervised categorization
- C. Unsupervised categorization
- D. Document clustering
Answer: C
NEW QUESTION 14
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. "All"
- C. 1
- D. 2
Answer: B
NEW QUESTION 15
Which statements are TRUE about importing SAS Contextual Analysis projects into SAS Visual Text Analytics when creating a new project? (Choose two)
- A. All custom categories are imported
- B. All machine generated topics and sentiment scores are imported
- C. All sentiment classification and probability scores are imported
- D. All custom concept and some predefined concept settings are imported
Answer: A,B
NEW QUESTION 16
What sampling method does the DLTUNE action use to sample the hyper parameter values?
- A. Stratified Random Sampling
- B. Systematic Sampling
- C. Simple Random Sampling
- D. Latin Hypercube Sampling
Answer: B
NEW QUESTION 17
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 term "taxiway" appears in 1 888 documents, and the term "incursion" appears in 80 of those 1.888 documents
- B. The document collection contains 1,888 documents, and the terms "taxiway" and "incursion" appear together in 80 documents
- C. The term "incursion" appears in 1,888 documents and the term "taxrway" appears in 80 of those 1.888 documents
- D. The document collection contains 1,888 documents, and the term "taxiway" appears in 80 documents
Answer: D
NEW QUESTION 18
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 19
What computation is performed when applying a neural network with Batch Normalization to test data?
- A. Normalizations are applied using parameters learned during testing
- B. µ and o^2 are estimated using an exponentially weighted average across tram and test sets
- C. µ and o^2 are estimated using an exponentially weighted average across test set
- D. Normalizations are applied using parameters learned during training
Answer: B
NEW QUESTION 20
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 21
Which node does not produce score code?
- A. Topics
- B. Text Parsing
- C. Sentiment
- D. Concepts
Answer: A
NEW QUESTION 22
Regularization in neural networks represents a set of techniques devised to accomplish what?
- A. Calculate a softmax
- B. Downsample a feature map
- C. Minimize the toss function
- D. Reduce overfitting
Answer: C
NEW QUESTION 23
Given these two addLayer action calls:
How many trainable parameters for layer fc2?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION 24
Which statements are TRUE regarding SAS Visual Text Analytics projects? (Choose two)
- A. Users can promote a SAS Visual Text Analytics 8 2 project to SAS Visual Text Analytics 8 3 project
- B. 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
- C. A SAS Visual Text Analytics project created by one user cannot be accessed by another user
- D. After creating a project in SAS Visual Text Analytics users can run the project with a different data source
Answer: C
NEW QUESTION 25
Which statement is TRUE about importing documents into SAS Visual Text Analytics using the Explore and Visualize Data menu?
- A. You must store the documents as txt files in a folder
- B. You must convert your document collection to a SAS data set
- C. You must include your document collection in a parent folder
- D. You must correct misspelled words in the document collection
Answer: C
NEW QUESTION 26
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. Custom topics can be generated using user-specified terms
- 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
Answer: C
NEW QUESTION 27
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. 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
- B. 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
- C. Save the output data from the Topics results window and use the Explore and Visualize Data component of SAS Viya
- D. 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.
Answer: C
NEW QUESTION 28
Refer to the exhibit.
What is the false negative rate for the category that has the 2nd worst average measure1?
- A. Less than 1
- B. Between 1 and 2
- C. Between 2 and 3
- D. Greater than 5
Answer: C
NEW QUESTION 29
Which option is incorporated in the dlTune action?
- A. Bayesian Optimization
- B. Simple Random Sampling
- C. Hyperband Method
- D. Genetic Algorithm
Answer: D
NEW QUESTION 30
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 D
- C. Option B
- D. Option A
Answer: A
NEW QUESTION 31
The kewords Firstname and LastName to defined concepts:
Insert the appropriate characters) before the leftmost curly brace ({) to identify the FirstName LastName pair as the required information to be extracted from a document.
Enter your answer in the field above
Answer:
Explanation:
_c
C_CONCEPT: Professor _c{FIRSTNAME LASTNAME}.
NEW QUESTION 32
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