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You develop an inventory management application called XYZManagement that will call aMicrosoft SQL Server stored procedure named sp_GetDailyXYZSales. The stored procedure will run a query that returns your daily sales total as an output parameter.This total will be displayed to users in a message box.
Your application uses a SqlCommand object to run sp_GetDailyXYZSales. You write the
following code to call sp_GetDailyXYZSales:
SqlConnection cnn = new SqlConnection(myConnString);
SqlCommand cmd = new SqlCommand(“sp_GetDaily XYZ Sales”, cnn);
cmd.CommandType = CommandType.StoredProcedure;
SqlParameter prm = cmd.Parameters.Add(“@ItemTotal”,SqlDbType.Int);
prm.Direction = ParameterDirection.Output;
cnn.Open();
cmd.ExecuteNonQuery();
Now you must write additional code to access the output parameter. Which code segment should you use?
Increase in size of a convolutional kernel would necessarily increase the performance of a convolutional network.
Which machine learning algorithm is commonly used for image classification tasks and is based on convolutional neural networks (CNNs)?
According to Robert M. Gagne, which learning types precede concept learning? a) Rule learning b) Sign learning c) Problem solving learning d) Verbal association learning e) S.R Learning Choose the correct option:
Which of the following indicate the pillars of learning contained in the UNESCO Report, 1996, “Learning the Treasure Within”, a) Learning to know b) Learning to be c) Learning to do d) Learning to understand e) Learning to live together
Which of the following statements differentiate teaching from learning? A) Teaching is a social act while learning is a personal act B) Teaching implies learning C) Teaching is like selling while learning is like buying D) Teaching can occur without learning taking place E) In teaching, influence is directed towards learning and learner, while in learning it is usually towards oneself Choose the correct answer from the following options:
Given above is a description of a neural network. When does a neural network model become a deep learning model?
You are the administrator of a Windows 2000 Server computer. The server contains one network adapter and is a file and print server for critical company resources. You install a second network adpater in the server and connect it to the same network subnet as the first adapter. You want to ensure that the first adapter is used for all network traffic and the second adapter is used only if the first adapter fails or is disconnected from the network. You also want to ensure that the server always has network connectivity even if one network adapter fails. What should you do?
Assume that you are given a data set and a neural network model trained on the data set. You are asked to build a decision tree model with the sole purpose of understanding/interpreting the built neural network model. In such a scenario, which among the following measures would you concentrate most on optimising?
Below is given a list of five types of learning indicated in a hierarchical arrangement as mentioned by Robert M. Gagne. From the code given select the correct hierarchy to show your answer. List (i) Signal learning (ii) Chain learning (iii) Rule learning (iv) Concept learning (v) S - R learning