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NEW QUESTION: 1
You are developing a C# application. The application includes a class named Rate. The following code segment implements the Rate class:

You define a collection of rates named rateCollection by using the following code segment:
Collection<Rate> rateCollection = new Collection<Rate>() ;
The application receives an XML file that contains rate information in the following format:

You need to parse the XML file and populate the rateCollection collection with Rate objects.
You have the following code:

Which code segments should you include in Target 1, Target 2, Target 3 and Target 4 to complete the code? (To answer, drag the appropriate code segments to the correct targets in the answer area. Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.)

Answer:
Explanation:

Explanation:
* Target 1: The element name is rate not Ratesheet.
The Xmlreader readToFollowing reads until the named element is found.
* Target 2:
The following example gets the value of the first attribute.
reader.ReadToFollowing("book");
reader.MoveToFirstAttribute();
string genre = reader.Value;
Console.WriteLine("The genre value: " + genre);
* Target 3, Target 4:
The following example displays all attributes on the current node.
C#VB
if (reader.HasAttributes) {
Console.WriteLine("Attributes of <" + reader.Name + ">");
while (reader.MoveToNextAttribute()) {
Console.WriteLine(" {0}={1}", reader.Name, reader.Value);
}
// Move the reader back to the element node.
reader.MoveToElement();
}
The XmlReader.MoveToElement method moves to the element that contains the current attribute node.
Reference:
https://msdn.microsoft.com/en-us/library/System.Xml.XmlReader_methods(v=vs.110).aspx

NEW QUESTION: 2

A. Use sequential scans
B. Use parallel scans while limiting the rate
C. Change consistency to eventually consistent during the scan operation
D. Increase read capacity units during the scan operation
Answer: B
Explanation:
Explanation
Parallel scans would help improve the scan performance while using limit parameter the provisioned throughput consumed can be limited.
Refer AWS documentation - DynamoDB Parallel Scan
By default, the Scan operation processes data sequentially. DynamoDB returns data to the application in 1 MB increments, and an application performs additional operations to retrieve the next 1 MB of data.
The larger the table or index being scanned, the more time the take to complete. In addition, a sequential Scan might not always be able to fully utilize the provisioned read throughput capacity: Even though DynamoDB distributes a large table s data across multiple physical partitions, a Scan operation can only read one partition at a time. For this reason, the throughput of a is constrained by the maximum throughput of a single partition.
To address these issues, the Scan operation can logically divide a table or secondary index into multiple segments, with multiple application workers scanning the segments in parallel. Each worker can be a thread (in programming languages that support multithreading) or an operating system process.
A parallel scan with a large number of workers can easily consume all of the provisioned throughput for the table or index being scanned. It is best to avoid such scans if the table or index is also incurring heavy read or write activity from other applications.
To control the amount of data returned per request, use the Limit parameter. This can help prevent situations where one worker consumes all of the provisioned throughput, at the expense of all other workers.

NEW QUESTION: 3
Which forwarding table designation is used to indicate that load balancing is working correctly?
A. msct
B. ucst
C. mlst
D. ulst
Answer: D