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NEW QUESTION: 1
To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?
A. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
B. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
C. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
D. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
Answer: B
Explanation:
Hadoop has a distributed cache mechanism to make available file locally that may be needed by Map/Reduce jobs
Use Case
Lets understand our Use Case a bit more in details so that we can follow-up the code snippets. We have a Key-Value file that we need to use in our Map jobs. For simplicity, lets say we need to replace all keywords that we encounter during parsing, with some other value.
So what we need is
A key-values files (Lets use a Properties files) The Mapper code that uses the code
Write the Mapper code that uses it
view sourceprint?
01.
public class DistributedCacheMapper extends Mapper<LongWritable, Text, Text, Text> {
02.
03.
Properties cache;
04.
05.
@Override
06.
protected void setup(Context context) throws IOException, InterruptedException {
07.
super.setup(context);
08.
Path[] localCacheFiles = DistributedCache.getLocalCacheFiles(context.getConfiguration());
09.
10.
if(localCacheFiles != null) {
11.
// expecting only single file here
12.
for (int i = 0; i < localCacheFiles.length; i++) {
13.
Path localCacheFile = localCacheFiles[i];
14.
cache = new Properties();
15.
cache.load(new FileReader(localCacheFile.toString()));
16.
}
17.
} else {
18.
// do your error handling here
19.
}
20.
21.
}
22.
23.
@Override
24.
public void map(LongWritable key, Text value, Context context) throws IOException,
InterruptedException {
25.
// use the cache here
26.
// if value contains some attribute, cache.get(<value>)
27.
// do some action or replace with something else
28.
}
29.
30.
}
Note:
* Distribute application-specific large, read-only files efficiently.
DistributedCache is a facility provided by the Map-Reduce framework to cache files (text, archives, jars etc.) needed by applications.
Applications specify the files, via urls (hdfs:// or http://) to be cached via the JobConf. The DistributedCache assumes that the files specified via hdfs:// urls are already present on the FileSystem at the path specified by the url.
Reference: Using Hadoop Distributed Cache

NEW QUESTION: 2
DRAG DROP




Answer:
Explanation:

Explanation:

NEW QUESTION: 3
会社は、Amazon ECSを使用してDockerコンテナーランタイム環境を提供したいと考えています。
コンプライアンス上の理由から、ECSクラスターで使用されるすべてのAmazon EBSボリュームは暗号化する必要があります。
クラスターインスタンスにローリング更新が行われ、企業はインスタンスを終了する前にすべてのタスクをドレインしたいと考えています。
これらの要件はどのように満たすことができますか？ （2つ選択してください。）
A. デフォルトのECS AMIユーザーデータを変更して、実行中のすべてのコンテナーインスタンスに対してdocker rm "" f {id}を実行するスクリプトを作成します。スクリプトを/etc/init.d/rc.dディレクトリにコピーし、オペレーティングシステムのシャットダウン中にスクリプトを実行できるようにchconfigを実行します。
B. アクションECS :: EncryptedImageを許可するIAMロールを作成します。このロールを使用するようにAWS CLIとプロファイルを構成します。 AWS CLIを使用してクラスターを起動し、create-cluster ECSコマンドに--use-encrypted-imageおよび--kms-key引数を指定します。
C. AWS CodePipelineを使用して、Amazonが提供する最新のECS AMIを検出するパイプラインを構築し、暗号化されたAMI IDを出力する暗号化されたAMIにイメージをコピーします。クラスターをデプロイするときに、暗号化されたAMI IDを使用します。
D. ECSがクラスターインスタンスのデプロイに使用するデフォルトのAWS CloudFormationテンプレートをコピーします。
テンプレートリソースのEBS構成設定を変更して「暗号化：True」を設定し、AMIを暗号化するためにAWS KMSエイリアス：「aws / ebs」を含めます。
E. AWS SDKを使用して終了インスタンスをDRAININGとしてマークするAWS Lambda関数によってサポートされるAuto Scalingライフサイクルフックを作成します。インスタンスで実行中のタスクがゼロになるまで、ライフサイクルフックが完了しないようにします。
Answer: D,E
Explanation:
Breakdown.
All EBS volumes used in ECS cluster must be encrypted.
Instances drained of all taksks before being teminated.
Select 2 options.
A. This is a docker level config - nope.
B. Way too much engineering for an encrypted image.
C. Explanation.
C1. If you launch an ECS cluter in console, you get 3 templates to choose from, these are CloudFormation templates for EC2 on-demand or spot instance based deployments.# C2. EBS configuration. Encrypted: True is a valid boolean key + value.
C3. AWS KMS. Alias is accurate.
C4. Option C is valid.
D. This is standard valid behaviour. Different ways to do things, this method is valid. They intentionally used the 'the AWS SDK' to bring doubts into how you do this. Cover the text to layman tems: AWS SDK = in Lambda use something like python to make a call to AWS to put the instance in draining mode.
D response is valid.
E. ECS::EncryptedImage does not exist. No AWS CLI for the --use-encrypted either. Nope.
Final answer.
C and D.
(Try actually deploying a 2 node cluster on T2 micro instances and play around - see what happens and look at the cloudformation templater (EC2+Linux tempalate).