A null bitmap is used in the variable-length record representation to indicate if an attribute has a null value. Tuples can have a significant number of characteristics in some applications, the majority of which are null. Is it possible to change the record representation so that the single bit in the null bitmap is the only overhead for a null attribute?

Consider the snapshot isolation used in the database of a large airline. What are some cases when an airline would choose to forego serialization in favor of improved performance?

Consider a snapshot isolation mechanism for a bank's database. In certain cases, a bank's operations may be hampered by an execution that cannot be serialised.

NOTE: Each image in the dataset has size 28x28, so the data has size 28x28x32 (since batch_size is 32); kernelsize = 3 in the convolutional layer, and default stride = 1. To calculate output size of the convolution layer we use this formula: convolutionOutputSize = 1+ (inputSize - kernelSize)/stride = 1+ (28 - kernelSize)/stride The final output of the convolution layer, and therefore the input to the 1st linear layer will then have the following size: convolutionOutputSize x convolutionOutputSize x 32 2 Linear layers. The last linear layer is already defined. For the forward propogation function use F.relu as the activation function for the convolution layer and the first linear layer. The last linear layer and the activation function for it (softmax) are already written.   CODE:   class MyModel(nn.Module): def__init__(self): super(MyModel, self).__init__() # DEFINE CONVOLUTION LAYER HERE, CALL IT self.conv1 *** #self.conv1 = **complete this line** # DEFINE LINEAR LAYER 1…