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NEW QUESTION: 1
회사에는 AWS KMS에 정의 된 대규모 키 세트가 있습니다. 개발자는 개발중인 응용 프로그램의 키를 자주 사용합니다. AWS KMS 서비스에서 키 액세스 비용을 줄이는데 사용할 수 있는 방법 중 하나는 무엇입니까?
선택 해주세요:
A. 키 회전 활성화
B. 올바른 키 정책 사용
C. 데이터 키 캐싱 사용
D. 키의 별칭 생성
Answer: C
Explanation:
설명
AWS 설명서에는 다음이 언급되어 있습니다.
데이터 키 캐싱은 데이터 키 및 관련 암호화 자료를 캐시에 저장합니다. 데이터를 암호화하거나 해독 할 때 AWS Encryption SDK는 캐시에서 일치하는 데이터 키를 찾습니다. 일치하는 항목을 찾으면 새로운 데이터 키를 생성하는 대신 캐시 된 데이터 키를 사용합니다. 데이터 키 캐싱은 성능을 향상시키고 비용을 절감하며 응용 프로그램이 확장됨에 따라 서비스 한도 내에서 유지하도록 도와줍니다.
이러한 옵션은 키 사용 방법에 영향을 미치지 않으므로 옵션 A.C 및 D는 모두 올바르지 않습니다.
데이터 키 캐싱에 대한 자세한 내용은 아래 URL을 참조하십시오.
https://docs.aws.amazon.com/encryption-sdk/latest/developer-guide/data-key-cachine.htmll 정답은 다음과 같습니다. 데이터 키 캐싱 사용 귀하의 의견 / 질문을 전문가에게 제출하십시오.

NEW QUESTION: 2
Webアプリケーションログを含むトピックを含むオンプレミスのApacheKafkaクラスターがあります。 BigQueryとCloudStorageで分析するには、データをGoogleCloudに複製する必要があります。推奨されるレプリケーション方法は、KafkaConnectプラグインの展開を回避するためのミラーリングです。
あなたは何をするべきか？
A. PubSub KafkaコネクターをオンプレミスのKafkaクラスターにデプロイし、PubSubをシンクコネクターとして構成します。 Dataflowジョブを使用して、PubSubから読み取り、GCSに書き込みます。
B. GCEVMインスタンスにKafkaクラスターをデプロイします。 GCEで実行されているクラスターにトピックをミラーリングするようにオンプレミスクラスターを構成します。 DataprocクラスターまたはDataflowジョブを使用して、Kafkaから読み取り、GCSに書き込みます。
C. シンクコネクタとして構成されたPubSub Kafkaコネクタを使用して、GCEVMインスタンスにKafkaクラスタをデプロイします。 DataprocクラスターまたはDataflowジョブを使用して、Kafkaから読み取り、GCSに書き込みます。
D. PubSub KafkaコネクターをオンプレミスのKafkaクラスターにデプロイし、PubSubをソースコネクターとして構成します。 Dataflowジョブを使用して、PubSubから読み取り、GCSに書き込みます。
Answer: B

NEW QUESTION: 3
You need to build a solution to monitor Twitter. The solution must meet the following requirements:
* Send an email message to the marketing department when negative Twitter messages are detected.
* Run sentiment analysis on Twitter messages that mention specific tags.
*Use the least amount of custom code possible.
Which two services should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Azure Databricks
B. Azure Functions
C. Azure Stream Analytics
D. Azure Logic Apps
E. Azure Cognitive Services
Answer: C,E