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When we need to use the knowledge we must learn again.

NEW QUESTION: 1
Which of the following DNS records must be queried to resolve the IPv6 address of a website?
A. A
B. CNAME
C. AAAA
D. PTR
Answer: C

NEW QUESTION: 2
An engineer needs to connect an external display to a Cisco TelePresence MX700 endpoint. What must the engineer do to access the external monitor output connector?
A. Remove the cover under the main monitor. The cover is fastened with two screws.
B. Remove the cover on the left side of the system. The cover is fastened with magnets.
C. Remove the cover on the back of the system. The cover is fastened with magnets.
D. Remove the cover on the right side of the system. The cover is fastened with four screws.
Answer: B

NEW QUESTION: 3
シミュレーション

必要に応じて、次のログイン資格情報を使用します。
Azureユーザー名：xxxxx
Azureパスワード：xxxxx
次の情報は、テクニカルサポートのみを目的としています。
ラボインスタンス：10277521
新しいAzure Data Factory V2で複数のパイプラインを作成する予定です。
データファクトリを作成してから、計画されたパイプラインのスケジュールされたトリガーを作成する必要があります。トリガーは、24：00：00から2時間ごとに実行する必要があります。
このタスクを完了するには、Azureポータルにサインインします。
A. ステップ1：新しいAzure Data Factory V2を作成する
1. Azureポータルに移動します。
2.左側のメニューで[Create a resource]を選択し、[Analytics]を選択してから、[Data Factory]を選択します。

4. [新しいデータファクトリ]ページで、名前を入力します。
5. [サブスクリプション]で、データファクトリを作成するAzureサブスクリプションを選択します。
6.リソースグループの場合、次のいずれかの手順を使用します。


7. [バージョン]で、[V2]を選択します。
8. [場所]で、データファクトリの場所を選択します。
9.作成を選択します。
10.作成が完了すると、Data Factoryページが表示されます。
ステップ2：Data Factoryのスケジュールトリガーを作成する
1.作成したData Factoryを選択し、[編集]タブに切り替えます。
2.メニューの[トリガー]をクリックし、[新規/編集]をクリックします。

3.「トリガーの追加」ページで、「トリガーの選択...」をクリックし、「新規」をクリックします。

4. [新しいトリガー]ページで、次の手順を実行します。
a。 「タイプ」で「スケジュール」が選択されていることを確認します。
b。開始日（UTC）のトリガーの開始日時を24:00:00に指定します。トリガーの繰り返しを指定します。 [毎時]を選択し、テキストボックスに2と入力します。

5.「新規トリガー」ウィンドウで、「アクティブ化」オプションをチェックして、「次へ」をクリックします。
6. [新しいトリガー]ページで警告メッセージを確認し、[完了]をクリックします。
7. [発行]をクリックして、変更をData Factoryに発行します。変更をData Factoryに公開するまで、トリガーはパイプライン実行のトリガーを開始しません。
B. ステップ1：新しいAzure Data Factory V2を作成する
1. Azureポータルに移動します。
2.左側のメニューで[Create a resource]を選択し、[Analytics]を選択してから、[Data Factory]を選択します。

4. [新しいデータファクトリ]ページで、名前を入力します。
5. [サブスクリプション]で、データファクトリを作成するAzureサブスクリプションを選択します。
6.リソースグループの場合、次のいずれかの手順を使用します。


7. [バージョン]で、[V2]を選択します。
8. [場所]で、データファクトリの場所を選択します。
9.作成を選択します。
10.作成が完了すると、Data Factoryページが表示されます。
ステップ2：Data Factoryのスケジュールトリガーを作成する
1.作成したData Factoryを選択し、[編集]タブに切り替えます。

2.メニューの[トリガー]をクリックし、[新規/編集]をクリックします。

3.「トリガーの追加」ページで、「トリガーの選択...」をクリックし、「新規」をクリックします。

4. [新しいトリガー]ページで、次の手順を実行します。
a。 「タイプ」で「スケジュール」が選択されていることを確認します。
b。開始日（UTC）のトリガーの開始日時を24:00:00に指定します。トリガーの繰り返しを指定します。 [毎時]を選択し、テキストボックスに2と入力します。

5.「新規トリガー」ウィンドウで、「アクティブ化」オプションをチェックして、「次へ」をクリックします。
6. [新しいトリガー]ページで警告メッセージを確認し、[完了]をクリックします。
7. [発行]をクリックして、変更をData Factoryに発行します。変更をData Factoryに公開するまで、トリガーはパイプライン実行のトリガーを開始しません。

Answer: B
Explanation:
References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-portal
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-schedule-trigger

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 configure the IoT devices to send the images to an Azure IoT hub, and then you configure an Azure Automation call to Azure Cognitive Services that sends the results to an Azure event hub. You configure Microsoft Power BI to connect to the event hub by using Azure Stream Analytics.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Instead use Cognitive Services containers on the IoT devices.
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