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NEW QUESTION: 1
会社は、Azure Cognitive Services APIを使用する複数のアプリを展開する予定です。
次の要件を満たすには、どのCognitive Services APIを使用する必要があるかを推奨する必要があります。
*複数の言語で不適切なテキストや冒とく的な表現を識別できる必要があります。
*テキスト入力を使用して送信されたユーザーリクエストを解釈できる必要があります。
*テキスト内の名前付きエンティティを識別できる必要があります。
各要件に推奨するAPIはどれですか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Content Moderator
The Azure Content Moderator API is a cognitive service that checks text, image, and video content for material that is potentially offensive, risky, or otherwise undesirable. When such material is found, the service applies appropriate labels (flags) to the content. Your app can then handle flagged content in order to comply with regulations or maintain the intended environment for users.
Box 2: Language Understanding (LUIS)
Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot.
Box 3: Text Analytics
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
References:
https://docs.microsoft.com/bs-latn-ba/azure/cognitive-services/content-moderator/overview
https://www.luis.ai/home
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/

NEW QUESTION: 2
What happens when you attempt to compile and run the following code?
# include <vector>
# include <set>
# include <iostream>
# include <algorithm>
using namespace std;
template<class T>struct Out {
ostream & out;
Out(ostream & o): out(o){}
void operator() (const T & val ) { out<<val<<" "; } };
template <typename T> struct Sequence {
T start; T step;
Sequence(T start, T step):start(start), step(step){}
T operator()() { T v = start; start+=step; return v; } };
bool Less(float a, float b) { return int(a)<int(b);}
int main() {
float t[]={2.28, 1.66, 1.32, 3.94, 3.64, 2.3, 2.98, 1.96, 2.62, 1.13};
vector<float> v1; v1.assign(t, t+10);
stable_sort(v1.begin(), v1.end(), Less);
for_each(v1.begin(), v1.end(), Out<float>(cout));cout<<endl;
return 0;
}
Program outputs:
A. 1.66 1.32 1.96 1.13 2.28 2.3 2.98 2.62 3.94 3.64
B. the exact output is impossible to determine
C. 3.94 3.64 2.98 2.62 2.3 2.28 1.96 1.66 1.32 1.13
D. compilation error
E. 1.13 1.32 1.66 1.96 2.28 2.3 2.62 2.98 3.64 3.94
Answer: A

NEW QUESTION: 3
A defect was discovered in production and a new sprint item has been created for deploying a hotfix. However, any code change must go through the following steps before going into production: *Scan the code for security breaches, such as password and access key leaks. Run the code through extensive, long running unit tests. Which source control strategy should a DevOps Engineer use in combination with AWS CodePipeline to complete this process?
A. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch. Use AWS CodeBuild to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
B. Create a hotfix tag on the last commit of the master branch. Trigger the development pipeline from the hotfix tag. Use AWS CodeDeploy with Amazon ECS to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix tag into the master branch.
C. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch. Use AWS Lambda to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
D. Create a hotfix branch from the master branch. Create a separate source stage for the hotfix branch in the production pipeline. Trigger the pipeline from the hotfix branch. Use AWS Lambda to do a content scan and use AWS CodeBuild to run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
Answer: A

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