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NEW QUESTION: 1
A. OutputStream fos = new FileOutputStream (new File ("/tmp/data.bin"));
DataOutputStream dos = new DataOutputStream(fos);
dos.writeByte(0);
dos.close();
B. OutputStream fos = new FileOutputStream(new File("/tmp/data.bin"));
OutputStream bos = new BufferedOutputStream(fos);
DataOutputStream dos = new DataOutputStream(bos);
dos.writeByte(0);
dos.close();
C. OutputStream fos = new FileOutputStream ("/tmp/data.bin"); fos.writeByte(0);
fos.close();
D. OutputStream fos = new FileOutputStream ("/tmp/data.bin");
DataOutputStream dos = new DataOutputStream(fos);
dos.writeByte(0);
dos.close();
Answer: A,B,D
Explanation:
B:Create DataOutputStream from FileOutputStream public static void main(String[] args)
throws
Exception { FileOutputStream fos = new FileOutputS tream("C:/demo.txt");
DataOutputStream dos = new
DataOutputStream(fos);
Note:
The FileOutputStream class is a subclass of OutputStream. You can construct a
FileOutputStream object by
passing a string containing a path name or a File object.
You can also specify whether you want to append the output to an existing file.
public FileOutputStream (String path)
public FileOutputStream (String path, boolean append)
public FileOutputStream (File file)
public FileOutputStream (File file, boolean append)
With the first and third constructors, if a file by the specified name already exists, the file
will be overwritten. Toappend to an existing file, pass true to the second or fourth
constructor.
Note 2:public class DataOutputStreamextends FilterOutputStreamimplements DataOutput
A data output stream lets an application write primitive Java data types to an output stream
in a portable way.
An application can then use a data input stream to read the data back in.
Reference:java.io Class DataOutputStream
NEW QUESTION: 2
You need to implement early stopping criteria as suited in the model training requirements.
Which three code segments should you use to develop the solution? To answer, move the appropriate code segments from the list of code segments to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation
You need to implement an early stopping criterion on models that provides savings without terminating promising jobs.
Truncation selection cancels a given percentage of lowest performing runs at each evaluation interval. Runs are compared based on their performance on the primary metric and the lowest X% are terminated.
Example:
from azureml.train.hyperdrive import TruncationSelectionPolicy
early_termination_policy = TruncationSelectionPolicy(evaluation_interval=1, truncation_percentage=20, delay_evaluation=5)
NEW QUESTION: 3
A. Option B
B. Option A
Answer: A
Explanation:
We should use table-valued functions, not procedures, to customize the recorded change data.
References: https://msdn.microsoft.com/en-us/library/cc645858.aspx