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NEW QUESTION: 1
Workspace ONE Accessでサポートされている3つのオプションはどれですか？ （3つ選択してください。）
A. 条件付きアクセス
B. アプリごとのVPN
C. 暗号化
D. モバイルSSO
E. ネットワークセグメンテーション
F. 統合アプリケーションカタログ
Answer: A,B,D

NEW QUESTION: 2
누군가 당신에게 새로운 고객을 추천했으며 그가 온라인 게임을 하고 있다는 사실을 알고 있으며, 원활한 확장 성으로 빠르고 예측 가능한 성능을 제공하는 데이터베이스 서비스를 필요로 하는 온라인 게임 사이트를 설치하기를 원할 것입니다.
다음 중 온라인 게임 사이트에 가장 적합한 AWS 데이터베이스는?
A. Amazon Redshift
B. Amazon ElastiCache
C. Amazon SimpleDB
D. Amazon DynamoDB
Answer: D
Explanation:
설명
Amazon DynamoDB는 완벽하게 관리되는 NoSQL 데이터베이스 서비스로서 원활한 확장 성으로 빠르고 예측 가능한 성능을 제공합니다. Amazon DynamoDB를 사용하여 모든 양의 데이터를 저장 및 검색하고 모든 수준의 요청 트래픽을 처리 할 수있는 데이터베이스 테이블을 생성 할 수 있습니다. Amazon DynamoDB는 일관성 있고 빠른 성능을 유지하면서 고객이 지정한 요청 용량과 저장된 데이터의 양을 처리 할 수 있도록 충분한 수의 서버를 통해 테이블의 데이터 및 트래픽을 자동으로 분산시킵니다.
http://aws.amazon.com/documentation/dynamodb/

NEW QUESTION: 3
You need to configure session affinity for the website.
Which two actions will achieve the goal? Each correct answer presents a complete solution.

A. Option C
B. Option B
C. Option A
D. Option D
Answer: B,D

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an app named App1 that uses the Face API.
App1 contains several PersonGroup objects.
You discover that a PersonGroup object for an individual named Ben Smith cannot accept additional entries.
The PersonGroup object for Ben Smith contains 10,000 entries.
You need to ensure that additional entries can be added to the PersonGroup object for Ben Smith. The solution must ensure that Ben Smith can be identified by all the entries.
Solution: You modify the custom time interval for the training phase of App1.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Instead, use a LargePersonGroup. LargePersonGroup and LargeFaceList are collectively referred to as large-scale operations. LargePersonGroup can contain up to 1 million persons, each with a maximum of 248 faces. LargeFaceList can contain up to 1 million faces. The large-scale operations are similar to the conventional PersonGroup and FaceList but have some differences because of the new architecture.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how-to-use-large-scale