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NEW QUESTION: 1
You are configuring a screen layout for a modern point of sale (MPOS) register by using the Screen layout designer.
You need to configure the screen layout to display the following transaction details:
the current customer

each item as the items are added to the transaction

the transaction total

Which three items should you add? Each correct answer presents a complete solution.
A. receipt panel
B. total panel
C. customer card
D. product grid
E. transaction grid
Answer: A,B,C

NEW QUESTION: 2
You issue the following command to drop the products table:
SQL> DROP TABLE products;
Which three statements are true about the implication of this command?
A. All views and synonyms remain but they are invalidated.
B. All indexes on the table remain but they are invalidated.
C. All data along with the table structure is deleted.
D. All data in the table is deleted but the table structure remains.
E. A pending transaction in the session is committed.
Answer: A,C,E
Explanation:
A: The DROP TABLE statement moves a table or object table to the recycle bin.
B: If a user issues a DDL (CREATE, ALTER, or DROP) or DCL (GRANT or REVOKE) command, the transaction in progress (if any) will
Incorrect:
Not C: Dropping a table invalidates dependent objects, such as indexes and constraints.
Reference: http://docs.oracle.com/cd/B19306_01/server.102/b14200/statements_9003.htm

NEW QUESTION: 3
You have a table that contains data relating to exam candidates and their associated scores.
You need to visualize the exam data by separating the data into quartiles. The visualization must display the mean score and must identify any outliers.
Which type of chart should you use?
A. histogram
B. pie
C. line
D. box and whisker
Answer: D
Explanation:
Explanation: https://support.office.com/en-us/article/create-a-box-and-whisker-chart-
62f4219f-db4b-4754-aca8-4743f6190f0d

NEW QUESTION: 4
You are building a classification experiment in Azure Machine Learning.
You need to ensure that you can use the Evaluate Model module in the experiment.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Connect the input of the Score Model modules to the output of the Train Model modules and the output Split Data modules.
B. Connect the output of the Score Model modules to the input of the Evaluate Model module.
C. Connect the output of the Score Model modules to the input of the Train Model modules and the input of the Split Data modules.
D. Connect the input of the Score Model modules to the output of the Evaluate Model module.
Answer: A,B
Explanation:
Explanation/Reference:
Explanation:
Use the training data.
To evaluate a model, you must connect a dataset that contains a set of input columns and scores. If no other data is available, you can use your original dataset.
1. Connect the Scored dataset output of the Score Model to the input of Evaluate Model.
2. Click Evaluate Model module, and select Run selected to generate the evaluation scores.
Use testing data
A common scenario in machine learning is to separate your original data set into training and testing datasets, using the Split module, or the Partition and Sample module.
1. Connect the Scored dataset output of the Score Model to the input of Evaluate Model.
2. Connect the output of the Split Data module that contains the testing data to the right-hand input of Evaluate Model.
3. Click Evaluate Model module, and select Run selected to generate the evaluation scores.
References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate- model