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NEW QUESTION: 1
開発者は、多数のリクエストを処理するアプリケーションを作成していますリクエストは順番に処理する必要があり、各リクエストは1回だけ処理する必要がありますこれを実現するためにAmazonSQSをデプロイする方法7
A. SQSFIFOキューを使用してリクエストを処理します
B. SetOrder属性を使用して、順次リクエスト処理を確実にします
C. fifoサフィックスを使用するようにキューの名前を変更して、標準キューをFIFOキューに変換します。
D. リクエストを処理するために標準のAmazon SQSキューで先入れ先出し（FIFO）配信を設定します。
Answer: D

NEW QUESTION: 2
会社にはAmazon EC2で実行されているNode.jsアプリケーションがあり、現在DynamoDBテーブルから顧客のデータを取得しています。同社は同じアイテムに対して多くのクエリを繰り返し見ていますが、アプリケーションの人気が高まるにつれてクエリの数は増え続けています。
アプリケーションに必要なリファクタリングの量を最小限に抑えながら、必要な読み取りキャパシティーユニット（RCU）の数を減らすソリューションはどれですか？
A. Lambda関数を使用して、キャッシュの同時リクエストを作成します
B. Amazon DynamoDBの予約済みキャパシティを取得して、増加したクエリ数を管理する
C. Amazon DynamoDB Accelerator（DAX）を使用してキャッシュレイヤーを提供する
D. Amazon ElastiCacheを使用してキャッシュレイヤーを提供する
Answer: C
Explanation:
https://aws.amazon.com/dynamodb/dax/
You do not need to modify application logic, since DAX is compatible with existing DynamoDB API calls.

NEW QUESTION: 3
What happens when you attempt to compile and run the following code?
#include <deque>
#include <iostream>
#include <algorithm>
using namespace std;
class B { int val;
public:
B(int v):val(v){}
int getV() const {return val;} bool operator < (const B & v) const { return val<v.val;} }; ostream & operator <<(ostream & out, const B & v) { out<<v.getV(); return out;} template<class T>struct Out { ostream & out; Out(ostream & o): out(o){} void operator() (const T & val ) { out<<val<<" "; } }; int main() { int t[]={20, 30, 10, 20, 30, 10, 20, 30, 10, 20}; deque<B> d1(t, t+10); sort(d1.begin(), d1.end()); pair<deque<B> ::iterator, deque<B>::iterator > result = equal_range(d1.begin(), d1.end(), B(20)); for_each(result.first, result.second, Out<B>(cout));cout<<endl; return 0;
}
Program outputs:
A. 20 20 20 20
B. 10 10 10 20 20 20 20 30 30 30
C. 20 20 20 20 30
D. 10 20 20 20 20 30
E. 10 20 20 20 20
Answer: A