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NEW QUESTION: 1
Where is an XML firewall most commonly deployed in the environment?
A. Between the application and data layers
B. Between the IPS and firewall
C. Between the firewall and application server
D. Between the presentation and application layers
Answer: C
Explanation:
Explanation/Reference:
Explanation:
XML firewalls are most commonly deployed in line between the firewall and application server to validate XML code before it reaches the application.

NEW QUESTION: 2
Refer to the exhibit.

Which command can be used in the CLl console to set the static IP address and DNS server for an HPE StoreOnce device?
A. setup network
B. nin setup
C. create network
D. net set wizard
Answer: C

NEW QUESTION: 3
What is the ideal bridge in which mixed-vendor environments are communicating in highdefinitionvideo? Select exactly 1 answer(s) from the following:
A. Cisco TelePresenceMCU 4501 Series
B. Cisco TelePresenceMCU MSE 8000 Series
C. Cisco TelePresenceMCU 4500 Series
D. Cisco TelePresenceMCU 4200 Series
Answer: C

NEW QUESTION: 4
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。 一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
質問に答えた後、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。
次のタスクを実行するIoTソリューションを作成する必要があります。
*ハザードを特定
*リアルタイムのオンラインダッシュボードを提供
* 1分ごとにエリアの画像を撮影します
*毎分、エリア内の人数をカウントします
ソリューション：IoTデバイスにAzure Cognitive Servicesコンテナーを実装し、結果をAzure IoTハブに送信するように構成します。 Azure Stream Analyticsを使用して、IoTハブに接続するようにMicrosoft Power BIを構成します。
これは目標を達成していますか？
A. はい
B. いいえ
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