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NEW QUESTION: 1
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. Yes
B. No
Answer: A
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
NEW QUESTION: 2
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Pipelinesを使用して、Reactjsアプリケーションをビルドおよびテストします。
単一のジョブを持つパイプラインがあります。
npmからJavaScriptパッケージをインストールするのに、パイプラインを実行するたびに約5分かかることがわかります。
パイプラインの実行時間を短縮するためのソリューションを推奨する必要があります。
解決策：JavaScriptパッケージがプリインストールされているカスタムコンテナーを使用するコンテナージョブを定義することをお勧めします。
これは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Explanation
Instead enable pipeline caching.
Note:
npm-cache is a command line utility that caches dependencies installed via npm, bower, jspm and composer.
It is useful for build processes that run [npm|bower|composer|jspm] install every time as part of their build process. Since dependencies don't change often, this often means slower build times. npm-cache helps alleviate this problem by caching previously installed dependencies on the build machine.
Reference:
https://www.npmjs.com/package/npm-cache
NEW QUESTION: 3
Azure API Managementを使用してAPIを公開する予定です。
APIの使用を特定のIPアドレス範囲に制限する必要があります。
API管理でフィルター式を構成するには、どの設定を使用する必要がありますか？
A. フロントエンド
B. バックエンド
C. インバウンド処理
D. 送信処理
Answer: C
Explanation:
https://docs.microsoft.com/en-us/azure/api-management/api-management-access-restriction-policies#RestrictCallerIPs