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  • Exam Number/Code : AWS-Certified-Data-Analytics-Specialty
  • Exam Name : AWS Certified Data Analytics - Specialty (DAS-C01) Exam
  • Questions and Answers : 260 Q&As
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NEW QUESTION: 1
You administer of a set of virtual machine (VM) guests hosted in Hyper-V on Windows Server 2012 R2.
The virtual machines run the following operating systems:
Windows Server 2008

Windows Server 2008 R2

Linux (openSUSE 13.1)

All guests currently are provisioned with one or more network interfaces with static bindings and VHDX disks.
You need to move the VMs to Azure Virtual Machines hosted in an Azure subscription.
Which three actions should you perform? Each correct answer presents part of the solution.
A. Install the WALinuxAgent on Linux servers.
B. Sysprep all Windows servers.
C. Upgrade all Windows VMs to Windows Server 2008 R2 or higher.
D. Convert the existing virtual disks to the virtual hard disk (VHD) format.
E. Ensure that all servers can acquire an IP by means of Dynamic Host Configuration Protocol (DHCP).
Answer: A,C,D
Explanation:
Explanation/Reference:
A: You need to install the the Azure Linux Agent.
C: Windows Server 2008 R2 and later versions are supported.
E: The VHDX format is not supported in Azure, only fixed VHD. You can convert the disk to VHD format using Hyper-V Manager or the convert-vhd cmdlet.
References: https://docs.microsoft.com/en-us/azure/virtual-machines/linux/suse-create-upload- vhd#prerequisites
https://support.microsoft.com/en-us/help/2721672/microsoft-server-software-support-for-microsoft-azure- virtual-machines

NEW QUESTION: 2
データ管理で使用可能なマッピングのタイプをリストしているのはどの項目ですか?
A. Explicit, Range, In, MultiDim, Like
B. Explicit, Range, In, Ignore, Like
C. Explicit, Between, In, MultiDim, Like
D. Explicit, Range, In, MultiDim, As
Answer: C
Explanation:
Explanation
The five types of member mappings are:
References: Oracle Cloud, Administering Planning for Oracle Enterprise Planning and Budgeting Cloud, page
3-39

NEW QUESTION: 3
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. Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
B. Channel these clickstreams inot Hadoop using Hadoop Streaming.
C. Ingest the server web logs into HDFS using Flume.
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: 4
Under which of the following conditions does the General Data Protection Regulation NOT apply to the processing of personal data?
A. When the personal data is collected and then pseudonymised by the controller
B. When the personal data is processed by an individual only for their household activities
C. When the personal data is held by the controller but not processed for further purposes
D. When the personal data is processed only in non-electronic form
Answer: A

 

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