A00-405 Braindumps PDF, SASInstitute A00-405 Exam Cram
New 2021 A00-405 Sample Questions Reliable A00-405 Test Engine
NEW QUESTION 24
What sampling method does the DLTUNE action use to sample the hyper parameter values?
- A. Latin Hypercube Sampling
- B. Systematic Sampling
- C. Simple Random Sampling
- D. Stratified Random Sampling
Answer: B
NEW QUESTION 25
Which statement is TRUE regarding topic creation in the Topics node1?
- A. Topics Map can be used to explore the topic and terms associations
- B. Term density can be adjusted using a sliding bar in the Term Cloud panel
- 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: A
NEW QUESTION 26
Refer to the exhibit.
Which statements are TRUE? (Choose two)
- A. There are 2 custom concepts
- B. There are 9 concepts in total
- C. More proper nouns terms than the pronouns terms are kept
- D. Most preposition terms are kept
Answer: A,D
NEW QUESTION 27
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 28
Which is the correct syntax for using a previously defined LITI concept rule, ''Date_of_Diagnosis'' in a category rule?
- A. (_tmac, "{Date_Of_Diagnosis} ")
- B. (AND, "[Data_Off_Diagnosis]'} ")
- C. (AND, "{Date_Of_Diagnosis)"} ")
- D. (_tmac, " [Date_Of_Diagnosis} ")
Answer: A
NEW QUESTION 29
Given the code to score images:
What is the actual batch size?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION 30
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. Efficiency-requires fewer computations
- C. Sequence memory - learns data dependencies spanning more sequence elements
- D. Size - uses (ewer parameters
Answer: D
NEW QUESTION 31
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 values from halt of the output neurons of the pooling layer ate randomly set to zero
- C. The output feature map size is reduced by half on width and height
- D. The output feature map size is increased 2 times on width and height.
Answer: B
NEW QUESTION 32
Which statement is TRUE about the QN modifier as it is used in the LITI language?
- A. The @N modifier is a NOT (negation) modifier
- B. The @N modifier specifies the starting byte location N where a word should be found
- C. The @N modifier expands a noun term to include all noun stemmed variants of the term
- D. The @N modifier is available in all concept rules
Answer: A
NEW QUESTION 33
Given the code to add a concatenation layer:
Assume the output dimensions (width*depth):
* source layer A 100*100*5
* source layer B 100*100*5
* source layer C 100*100*3
What is the correct dimension of the output of this concatenation layer?
- A. 300'300'5
- B. 300'300'13
- C. 100'100'18
- D. 100'100'13
Answer: C
NEW QUESTION 34
What is the primary purpose of the Topics node?
- A. Information retrieval
- B. Document clustering
- C. Supervised categorization
- D. Unsupervised categorization
Answer: D
NEW QUESTION 35
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 custom concept and some predefined concept settings are imported
- D. All sentiment classification and probability scores are imported
Answer: A,B
NEW QUESTION 36
Regularization in neural networks represents a set of techniques devised to accomplish what?
- A. Calculate a softmax
- B. Minimize the toss function
- C. Reduce overfitting
- D. Downsample a feature map
Answer: B
NEW QUESTION 37
What are two reasons to use a pooling layer in a Convolution Neural Network (CNN)? (Choose two)
- A. to make the feature map invariant to transformation
- B. to increase granularity of information
- C. to extract a summarized value from an area of the image
- D. to extract features of different spatial scale
Answer: B,D
NEW QUESTION 38
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: A
NEW QUESTION 39
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 the entire sequence
- B. The RNN assigns a classification to each element in the sequence
- C. The RNN predicts the previous value in a sequence
- D. The RNN predicts the next value in a sequence
Answer: B
NEW QUESTION 40
("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 41
Which statement is TRUE about importing documents into SAS Visual Text Analytics using the Explore and Visualize Data menu?
- A. You must convert your document collection to a SAS data set
- B. You must store the documents as txt files in a folder
- C. You must correct misspelled words in the document collection
- D. You must include your document collection in a parent folder
Answer: D
NEW QUESTION 42
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 43
Which option is incorporated in the dlTune action?
- A. Hyperband Method
- B. Genetic Algorithm
- C. Bayesian Optimization
- D. Simple Random Sampling
Answer: B
NEW QUESTION 44
Consider a 224x224 image provided as input for training a CNN for image classification A 5x5 filter is to be used with a stride of 1 for the first convolutional layer What size padding should be applied in order to maintain the original resolution to provide as input to the next layer?
Enter your numeric answer in the space above.
Answer:
Explanation:
3
NEW QUESTION 45
How many channels does a BGR image contain?
Enter your numeric answer in the space above
Answer:
Explanation:
3
NEW QUESTION 46
What computation is performed when applying a neural network with Batch Normalization to test data?
- A. µ and o^2 are estimated using an exponentially weighted average across test set
- B. Normalizations are applied using parameters learned during training
- C. Normalizations are applied using parameters learned during testing
- D. µ and o^2 are estimated using an exponentially weighted average across tram and test sets
Answer: D
NEW QUESTION 47
Which option of the loadlmage action can be used to load images in the subdirectory tree of a directory?
- A. recurse
- B. repeat
- C. reload
- D. subdirs
Answer: B
NEW QUESTION 48
......
Feel SASInstitute A00-405 Dumps PDF Will likely be The best Option: https://www.exams4collection.com/A00-405-latest-braindumps.html
