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NEW QUESTION: 1
한 회사는 기가 바이트의 .csv에서 작동하고 수개월의 데이터를 나타내는 레거시 온-프레미스 분석 애플리케이션을 사용합니다. 레거시 애플리케이션은 증가하는 .csv 파일 크기를 처리 할 수 없습니다.
다양한 데이터 원본에서 중앙 온-프레미스 저장소 위치로 매일 추가되는 새 CSV 파일.
이 회사는 사용자가 AWS 분석 서비스를 배우는 동안 레거시 애플리케이션을 계속 지원하기를 원합니다. 이를 달성하기 위해 솔루션 아키텍트는 온 프레미스 및 Amazon S3에서 모든 .csv 파일의 동기화 사본 2 개를 유지하려고 합니다.
솔루션 아키텍트는 어떤 솔루션을 권장해야 합니까?
A. 온 프레미스 파일 게이트웨이를 배포하고 .csv 파일을 파일 게이트웨이에 쓰도록 데이터 소스를 구성하고 레거시 분석 애플리케이션이 파일 게이트웨이를 가리 킵니다.
파일 gaeway는 .csv 파일을 Amazon S3에 복제해야 합니다.
B. 온 프레미스에 AWS datasync를 배포합니다. 온 프레미스와 Amazon Elastic 파일 시스템 (Amazon EFS)간에 .csv 파일을 지속적으로 복제하도록 datasync를 구성하면 Amazon EFS에서 회사의 S3 버킷으로 복제 할 수 있습니다.
C. 온-프레미스 볼륨 게이트웨이를 배포합니다. .csv 파일을 볼륨 게이트웨이에 쓰도록 데이터 원본을 구성하고 레거시 분석 응용 프로그램을 볼륨 게이트웨이에 연결합니다.
볼륨 게이트웨이는 데이터를 Amazon S3에 복제해야 합니다.
D. AWS Datasync on-premises를 배포하고 Datasync를 구성하여 회사의 S3 버킷간에 .csv 파일을 지속적으로 복제합니다.
Answer: D

NEW QUESTION: 2
フィッシング攻撃から保護するための推奨事項はどれですか？
A. スパム対策システムをインストールします
B. アプリケーションレベルのファイアウォールをインストールする
C. 組織のスタッフにセキュリティ意識を提供します
D. 顧客向けのセキュリティガイダンスを公開する
Answer: D
Explanation:
説明
組織の顧客はフィッシング攻撃の標的です。セキュリティソフトウェアをインストールしたり、組織のスタッフをトレーニングしたりしても役に立ちません。努力は顧客側に置かれるべきです。

NEW QUESTION: 3
HOTSPOT


Answer:
Explanation:

Explanation:

Box 1: Azure IoT Edge
Azure IoT Edge is made up of three components:
IoT Edge modules are containers that run Azure services, 3rd party services, or your own code. They are deployed to IoT Edge devices and execute locally on those devices.
The IoT Edge runtime runs on each IoT Edge device and manages the modules deployed to each device.
A cloud-based interface enables you to remotely monitor and manage IoT Edge devices.
Box 2: Azure Stream Analytics
Azure Stream Analytics on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device- generated data.
With Azure Streaming Analytics (ASA) on IoT Edge, enterprises benefit from running Complex Event Processing (CEP) closer to where the data is produced. For example, manufacturing safety systems are required to respond to operational data with ultra-low latency. With ASA on IoT Edge, you can analyze sensor data in near real time and issue commands when you detect anomalies to stop a machine or trigger alerts.
Box 3: Azure IoT Hub
IoT Hub is a managed service, hosted in the cloud, that acts as a central message hub for bi-directional communication between your IoT application and the devices it manages.
You can use Azure IoT Hub to build IoT solutions with reliable and secure communications between millions of IoT devices and a cloud-hosted solution backend. You can connect virtually any device to IoT Hub.

NEW QUESTION: 4
自律型トランザクション処理（ATP）データベースを必要とするコンテナー化されたアプリがあります。 Kubernetesのコンテナーからのoに対して無効なオプションはどれですか？
A. Kubernetesシークレットを使用して、ATPインスタンスのOCIDとOCI APIの認証情報でコンテナの環境変数を構成します。次に、サービスランタイムからCreateConnection APIエンドポイントを使用します。
B. KubernetesクラスターにOracle Cloud Infrastructure Service Brokerをインストールし、ATPのserviceinstanceおよびserviceBindingリソースをデプロイします。次に、指定されたバインディング名をアプリケーションデプロイメントマニフェストのボリュームとして使用します。
C. 必要なスキーマに対してOracle REST Data Servicesを有効にし、HTTPS経由で接続します。
D. インスタンスのWalletファイルのコンテンツを使用してKubernetesシークレットを作成します。このシークレットを使用して、アプリケーションデプロイメントマニフェストの適切なパスにマウントされたボリュームを作成します。
Answer: C
Explanation:
Explanation
The Kubernetes documentation lays out the following use case for the Service Catalog API:
An application developer wants to use message queuing as part of their application running in a Kubernetes cluster. However, they do not want to deal with the overhead of setting such a service up and administering it themselves. Fortunately, there is a cloud provider that offers message queuing as a managed service through its service broker.
A cluster operator can setup Service Catalog and use it to communicate with the cloud provider's service broker to provision an instance of the message queuing service and make it available to the application within the Kubernetes cluster. The application developer therefore does not need to be concerned with the implementation details or management of the message queue. The application can simply use it as a service.
The samples in the OCI Service Broker source code include a deployment YAML file that describes how to use an init container to take the values in the Autonomous Transaction Processing service binding and put them in environment variables or in a volume mount. After that, your application can use those values to connect to the database.
Once you've installed and registered the service broker, you're ready to use the ATP service plan to provision an ATP instance. I'll go into details below, but the overview of the process looks like so:
-Create a Kubernetes secret with a new admin and wallet password (in JSON format)
- Create a YAML configuration for the ATP Service Instance
- Deploy the Service Instance
- Create a YAML config for the ATP Service Binding
- Deploy the Service Binding to obtain which results in the creation of a new Kubernetes secret containing the wallet contents
- Create a Kubernetes secret for Microservice deployment use containing the admin password and the wallet password (in plain text format)
- Create a YAML config for the Microservice deployment which uses an initContainer to decode the wallet secrets (due to a bug which double encodes them) and mounts the wallet contents as a volume References:
https://blogs.oracle.com/developers/creating-an-atp-instance-with-the-oci-service-broker
https://blogs.oracle.com/cloud-infrastructure/integrating-oci-service-broker-with-autonomous-transaction-proces