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NEW QUESTION: 1
You are developing a Universal Windows Platform (UWP) app. The app must allow the user to select only one file at a time.
You need to ensure that the app displays the appropriate dialog window.
Which method should you use?
A. StorageItem.GetFileFromPathAsync()
B. FileOpenPicker.PickMultipleFilesAsync()
C. StorageItem.OpenSequentialReadAsync()
D. StorageItem.OpenReadAsync()
E. FileOpenPicker.PickSingleFileAsync()
Answer: E
Explanation:
Explanation/Reference:
Explanation:
To pick a single file.
Windows.Storage.StorageFile file = await picker.PickSingleFileAsync();
if (file != null)
{
// Application now has read/write access to the picked file
this.textBlock.Text = "Picked photo: " + file.Name;
}
else
{
this.textBlock.Text = "Operation cancelled.";
}
Reference: https://docs.microsoft.com/en-us/windows/uwp/files/quickstart-using-file-and-folder- pickers#pick-a-single-file-complete-code-listing

NEW QUESTION: 2
Which VMware SD-WAN component Is responsible for overlay route distribution?
A. VMware SD-WAN Controller
B. VMware SD-WAN Orchestrator
C. VMware SD-WAN Hub
D. VMware SD-WAN Edge
Answer: A

NEW QUESTION: 3

A. Option A
B. Option B
C. Option D
D. Option C
Answer: A

NEW QUESTION: 4
You are designing a Spark job that performs batch processing of daily web log traffic.
When you deploy the job in the production environment, it must meet the following requirements:
* Run once a day.
* Display status information on the company intranet as the job runs.
You need to recommend technologies for triggering and monitoring jobs.
Which technologies should you recommend? To answer, drag the appropriate technologies to the correct locations. Each technology 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.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Livy
You can use Livy to run interactive Spark shells or submit batch jobs to be run on Spark.
Box 2: Beeline
Apache Beeline can be used to run Apache Hive queries on HDInsight. You can use Beeline with Apache Spark.
Note: Beeline is a Hive client that is included on the head nodes of your HDInsight cluster. Beeline uses JDBC to connect to HiveServer2, a service hosted on your HDInsight cluster. You can also use Beeline to access Hive on HDInsight remotely over the internet.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-livy-rest-interface
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-beeline

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