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NEW QUESTION: 1
You want to understand more about how users browse your public website, such as which pages they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you gather this data for your analysis?
A. Channel these clickstreams inot Hadoop using Hadoop Streaming.
B. Ingest the server web logs into HDFS using Flume.
C. Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
D. Sample the weblogs from the web servers, copying them into Hadoop using curl.
E. Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
Answer: E
Explanation:
Hadoop MapReduce for Parsing Weblogs
Here are the steps for parsing a log file using Hadoop MapReduce:
Load log files into the HDFS location using this Hadoop command:
hadoop fs -put <local file path of weblogs> <hadoop HDFS location> The Opencsv2.3.jar framework is used for parsing log records.
Below is the Mapper program for parsing the log file from the HDFS location.
public static class ParseMapper extends Mapper<Object, Text, NullWritable,Text >{
private Text word = new Text();
public void map(Object key, Text value, Context context ) throws IOException, InterruptedException {
CSVParser parse = new CSVParser(' ','\"');
String sp[]=parse.parseLine(value.toString());
int spSize=sp.length;
StringBuffer rec= new StringBuffer();
for(int i=0;i<spSize;i++){
rec.append(sp[i]);
if(i!=(spSize-1))
rec.append(",");
}
word.set(rec.toString());
context.write(NullWritable.get(), word);
}
}
The command below is the Hadoop-based log parse execution. TheMapReduce program is
attached in this article. You can add extra parsing methods in the class. Be sure to create a new
JAR with any change and move it to the Hadoop distributed job tracker system.
hadoop jar <path of logparse jar> <hadoop HDFS logfile path> <output path of parsed log file>
The output file is stored in the HDFS location, and the output file name starts with "part-".
NEW QUESTION: 2
A solutions architect has an operational workload deployed on Amazon EC2 instances in an Auto Scaling group The VPC architecture spans two Availability Zones (AZ) with a subnet in each that the Auto Scaling group is targeting The VPC is connected to an on-premises environment and connectivity cannot be interrupted The maximum size of the Auto Scaling group is 20 instances in service The VPC IPv4 addressing is as follows:
* VPC CIDR 10 0 0 0/23
* AZ1 subnet CIDR 10 0 0 0/24
* AZ2 subnet CIDR 10 0 10/24
Since deployment a third AZ has become available in the Region The solutions architect wants to adopt the new AZ without adding additional IPv4 address space and without service downtime. . . . . . . . . . . . . . . . . . .
Which solution will meet these requirements?
A. Update the Auto Scaling group to use the AZ2 subnet only Update the AZ1 subnet to have half the previous address space Adjust the Auto Scaling group to also use the AZ1 subnet again When the instances are healthy, adjust the Auto Scaling group to use the AZ1 subnet only Update the current A22 subnet and assign the second half of the address space from the original AZ1 subnet Create a new AZ3 subnet using half the original AZ2 subnet address space then update the Auto Scaling group to target all three new subnets
B. Create a new VPC with the same IPv4 address space and define three subnets with one for each AZ Update the existing Auto Scaling group to target the new subnets in the new VPC
C. Update the Auto Scaling group to use the AZ2 subnet only Delete and re-create the AZ1 subnet using half the previous address space Adjust the Auto Scaling group to also use the new AZ1 subnet When the instances are healthy adjust the Auto Scaling group to use the AZ1 subnet only Remove the current AZ2 subnet Create a new AZ2 subnet using the second half of the address space from the original. AZ1 subnet Create a new AZ3 subnet using halt the original AZ2 subnet address space then update the Auto Scaling group to target all three new subnets
D. Terminate the EC2 instances m the AZ1 subnet Delete and re-create the AZ1 subnet using half the address space Update the Auto Scaling group to use this new subnet Repeat this for the second AZ Define a new subnet in AZ3 then update the Auto Scaling group to target all three new subnets
Answer: C
NEW QUESTION: 3
Which list contains the different methods of authorization that are used by AAA?
A. TACACAS+, None, Local, and RADIUS
B. TACACAS+, ACL, Local, and AD
C. TACACAS+, ACL, AD, Local, and RADIUS
D. TACACAS+, None, Local, and ACL
Answer: A