Practice Free A00-408 Exam Online Questions
Which statements are true regarding the Topics node? (Choose 2)
- A . It is possible to promote a topic to a category.
- B . For a topic to be assigned to a document, all terms in the topic must be present in the document.
- C . System generated topics can be split or merged.
- D . By default, 10 system generated topics are created.
What is a criticism of the pooling operation?
- A . Complicates the loss (cost) function.
- B . Increases the model parameters.
- C . Overemphasizes the tails of the input distribution.
- D . Increases the degradation of spatial information.
The output CAS table generated by running the loadImages action contains the binary images in which of the following columns?
- A . _path_
- B . _jpg_
- C . _binary_
- D . _image_
Which statement is FALSE when you use dlTune to tune the hyperparameters of CNN?
- A . It tunes model architecture
- B . It tunes miniBatchSize.
- C . It tunes learning rate.
- D . It tunes momentum rate.
Refer to the exhibit below.
When using the Data Explorer to import and convert multiple pdf text files, which option under the Import tab is selected prior to defining the connection?
- A . Folders
- B . Esri
- C . Local files
- D . Directory
Which error functions is an adequate choice when building a CNN model for a classification task with 3 classes?
- A . Bernouilli error function
- B . Softmax activation function
- C . Mean squared error
- D . Cross entropy
Which of the following is a best practice before building deep learning models after loading images into a CAS Table using the loadImages action?
- A . Resize the images so they are all 32 x 32 pixels.
- B . Convert the images into a flattened format.
- C . Remove color channels from the image so they are greyscale.
- D . Shuffle the images so that they are randomly ordered.
Given the code to add a convolution layer:
AddLayer/model=’mymodel’ name="conv2"
layer={type=’convolution’ nFilters=32 width=1 height=1 stride=1}
includeBias=True
srcLayers={"conv1"};
Assume the output data dimension of the “conv1” layer is 100*100*10 (width*height*depth)
What is the number of trainable parameters for the layer “conv2”?
- A . 320
- B . 32
- C . 42
- D . 352
What is a computational benefit of using LSTM and GRU layers in recurrent neural networks?
- A . LSTM and GRU layers reduce the number of calculations needed in each training iteration.
- B . LTSM and GRU layers enable parallelization of the model training across multiple machines.
- C . LTSM and GRU layers reduce the overall number of weights in the model.
- D . LSTM and GRU layers reduce the vanishing gradient problem.
When scoring new images with a neural network using dlScore, which statement is TRUE about the weights?
- A . The weights change due to backpropagation.
- B . The weights do not change.
- C . The weights change due to covariate shift of the distribution of new images.
- D . The weights change only when there is a new image that is significantly different from the training images.