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NEW QUESTION: 1
Given:
public class Test {
public static void main(String[] args) {
try {
String[] arr =new String[4];
arr[1] = "Unix";
arr[2] = "Linux";
arr[3] = "Solarios";
for (String var : arr) {
System.out.print(var + " ");
}
} catch(Exception e) {
System.out.print (e.getClass());
}
}
}

A. Class java.lang.Exception
B. Class java.lang.NullPointerException
C. Unix Linux Solaris
D. Null Unix Linux Solaris
Answer: D

NEW QUESTION: 2

A. Option C
B. Option E
C. Option B
D. Option A
E. Option D
Answer: A,C
Explanation:
B: An application that wants to outsource authentication to Azure AD must be
registered in Azure AD, which registers and uniquely identifies the app in the directory.
C (not A): NativeClient-WindowsStore
A Windows Store application that calls a web API that is secured with Azure AD.

Reference: AzureADSamples/NativeClient-WindowsStore Authentication Scenarios for Azure AD, Basics of Authentication in Azure AD http://msdn.microsoft.com/en-us/library/azure/dn499820.aspx#BKMK_Auth https://github.com/AzureADSamples/NativeClient-WindowsStore

NEW QUESTION: 3
What are the primary attack methods of VLAN hopping? (Choose two)
A. Double tagging
B. Switch spoofing
C. VoIP hopping
D. CAM-table overflow
Answer: A,B

NEW QUESTION: 4
You work for a tech startup that has developed a bracelet to track information for children. Each bracelet sends data in JSON format every 6 seconds to analyze and send to web portal for parents. You need to provide a solution for real-time data analytics that is durable, elastic and parallel. The results should be stored. Which solution should you select? Choose the correct answer.
A. EMR to collect the inbound sensor data, analyze the data from EMR with Amazon Kinesis, and save the results to DynamoDB.
B. Amazon Kinesis to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to a Redshift cluster using EMR.
C. SQS to collect the inbound sensor data analyze the data from SQS with a daily scheduled Data Pipeline and save the results to a Redshift Cluster.
D. S3 to collect the inbound sensor data analyze the data from S3 with Amazon Kinesis and save the results to a Microsoft SQL Server RDS instance.
Answer: B
Explanation:
Amazon EMR clusters can read and process Amazon Kinesis streams directly, using familiar tools in the Hadoop ecosystem such as Hive, Pig, MapReduce, the Hadoop Streaming API, and Cascading. You can also join real-time data from Amazon Kinesis with existing data on Amazon S3, Amazon DynamoDB, and HDFS in a running cluster. You can directly load the data from Amazon EMR to Amazon S3 or DynamoDB for post-processing activities.
Reference:
http://docs.aws.amazon.com/emr/latest/DeveloperGuide/emr-kinesis.html