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NEW QUESTION: 1
ソリューションアーキテクトは、AWSで標準の3層ウェブアプリケーションを運営する会社と協力しています。
ウェブ層とアプリケーション層はAmazon EC2で実行され、データベース層はAmazon RDSで実行されます。同社は、Amazon API GatewayとAWS Lambdaを使用するようにウェブ層とアプリケーション層を再設計しており、6か月以内に新しいアプリケーションをデプロイする予定です。 ITマネージャーは、ソリューションアーキテクトに当面のコスト削減を依頼しました。
信頼性を維持しながら、最もコスト効率の高いソリューションはどれですか？
A. Web層にはスポットインスタンスを、アプリケーション層にはオンデマンドインスタンスを、データベース層にはリザーブドインスタンスを使用します。
B. Web層とアプリケーション層にはオンデマンドインスタンスを使用し、データベース層にはリザーブドインスタンスを使用します。
C. Webおよびアプリケーション層にはスポットインスタンスを使用し、データベース層にはリザーブドインスタンスを使用します。
D. Web、アプリケーション、およびデータベース層にリザーブドインスタンスを使用します。
Answer: B

NEW QUESTION: 2
コンピュータのファイルが暗号化されていることを示すウィンドウがユーザーの画面に表示され、ユーザーのデータのロックを解除するにはアクセスコードを使用する必要があります。これは次の例です。
A. ファイルのアクセス許可が正しくありません。
B. ウイルス
C. 無効な証明書
D. ランサムウェア。
Answer: D

NEW QUESTION: 3
You are automating your Junos devices using NETCONF.
Which two actions will help to accomplish this task? (Choose two.)
A. Specify the YAML version
B. Enable the NETCONF service
C. Specify the transport protocol for NETCONF
D. Enable SSH access for the root user
Answer: B,C

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 need to create an IoT solution that performs the following tasks:
* Identifies hazards
* Provides a real-time online dashboard
* Takes images of an area every minute
* Counts the number of people in an area every minute
Solution: You implement Azure Cognitive Services containers on the IoT devices, and then you configure results to be sent to an Azure IoT hub. You configure Microsoft Power BI to connect to the IoT hub by using Azure Stream Analytics.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
There is support for running Azure Cognitive Services containers for Text Analytics and Language Understanding containers on edge devices with Azure IoT Edge. This means that all your workloads can be run locally where your data is being generated while keeping the simplicity of the cloud to manage them remotely, securely and at scale.
You would have to set up an IoT Edge device and its IoT Hub.
Note: Azure Stream Analytics enables you to take advantage of one of the leading business intelligence tools, Microsoft Power BI.
Get your IoT hub ready for data access by adding a consumer group.
Create, configure, and run a Stream Analytics job for data transfer from your IoT hub to your Power BI account.
Create and publish a Power BI report to visualize the data.
References:
https://azure.microsoft.com/es-es/blog/running-cognitive-services-on-iot-edge/
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-live-data-visualization-in-power-bi