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NEW QUESTION: 1
You are a Dynamics 365 for Customer Service administrator creating surveys for Voice of the Customer.
You must display the question: Have you used the product before? If the response is Yes, you must display additional questions concerning the product. If the answer is No, you must display a different set of questions concerning other products.
You need to select a survey feature to use.
Which survey feature should you use?
A. Piping
B. List of ratings
C. Response routing
D. Answer tag
E. Basic
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/dynamics365/customer-engagement/voice-of-customer/design-advancedsurvey

NEW QUESTION: 2
高性能の共有ファイルシステムを作成する必要があり、ファイルストレージサービス（FSS）を使用することをお勧めします。 Oracle Cloud Infrastructureコンソールにログインし、ファイルシステムを作成し、手順に従ってLinuxインスタンスに共有ファイルシステムをマウントしました。 ただし、Linuxインスタンスから共有ファイルシステムにアクセスすることはできません。
これの考えられる理由は何ですか？
A. マウントターゲットにアクセスできるようにセットアップされたIDおよびアクセス管理（IAM）ポリシーはありません。
B. ターゲットトラフィックのマウントに関するセキュリティリストルールはありません
C. マウントターゲットトラフィック用の仮想クラウドネットワーク（VCN）ルートテーブルにルートがありません
D. ターゲットトラフィックのマウント用にインターネットゲートウェイ（IGW）がセットアップされていない
Answer: A

NEW QUESTION: 3



A. csvde
B. Net user
C. Dsadd
D. Ldifde
Answer: A
Explanation:
The CSVDE is a command-line utility that can create new AD DS objects by importing information from a comma-separated value (.csv) file. This would be the least amount of administrative effort in this case.
References: Exam Ref 70-410: Installing and Configuring Windows Server 2012 R2: Chapter 5: Install and administer Active Directory, Objective 5.2: Create and Manage Active Directory Users and Computers, p. 269

NEW QUESTION: 4
You want to populate an associative array in order to perform a map-side join. You've decided to put this information in a text file, place that file into the DistributedCache and read it in your Mapper before any records are processed.
Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?
A. combine
B. map
C. init
D. configure
Answer: D
Explanation:
See 3) below.
Here is an illustrative example on how to use the DistributedCache: // Setting up the cache for the application
1.Copy the requisite files to the FileSystem:
$ bin/hadoop fs -copyFromLocal lookup.dat /myapp/lookup.dat $ bin/hadoop fs -copyFromLocal map.zip /myapp/map.zip $ bin/hadoop fs -copyFromLocal mylib.jar /myapp/mylib.jar $ bin/hadoop fs -copyFromLocal mytar.tar /myapp/mytar.tar $ bin/hadoop fs -copyFromLocal mytgz.tgz /myapp/mytgz.tgz $ bin/hadoop fs -copyFromLocal mytargz.tar.gz /myapp/mytargz.tar.gz
2.Setup the application's JobConf:
JobConf job = new JobConf();
DistributedCache.addCacheFile(new URI("/myapp/lookup.dat#lookup.dat"),
job);
DistributedCache.addCacheArchive(new URI("/myapp/map.zip", job);
DistributedCache.addFileToClassPath(new Path("/myapp/mylib.jar"), job);
DistributedCache.addCacheArchive(new URI("/myapp/mytar.tar", job);
DistributedCache.addCacheArchive(new URI("/myapp/mytgz.tgz", job);
DistributedCache.addCacheArchive(new URI("/myapp/mytargz.tar.gz", job);
3.Use the cached files in the Mapper or Reducer:
public static class MapClass extends MapReduceBase implements Mapper<K, V, K, V> {
private Path[] localArchives; private Path[] localFiles;
public void configure(JobConf job) { // Get the cached archives/files
localArchives = DistributedCache.getLocalCacheArchives(job);
localFiles = DistributedCache.getLocalCacheFiles(job);
}
public void map(K key, V value,
OutputCollector<K, V> output, Reporter reporter)
throws IOException {
// Use data from the cached archives/files here
// ...
// ...
output.collect(k, v);
}
}
Reference: org.apache.hadoop.filecache , Class DistributedCache