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NEW QUESTION: 1
What is used by the Native SANCopy Import data mobility feature?
A. SANCopy running on Unity
B. Common base Snapshots
C. Transparent Data Transfer
D. SANCopy funning on VNX
Answer: D
NEW QUESTION: 2
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、固有のソリューションが含まれています。ソリューションが指定された目標を満たしているかどうかを判断します。
データベースから削除できるように、使用されていないインデックスを特定する必要があります。
解決策：sys.dm_db_index_operational_stats動的管理ビューを実行します。
ソリューションは目標を達成していますか？
A. はい
B. いいえ
Answer: B
NEW QUESTION: 3
You are designing a Spark job that performs batch processing of daily web log traffic.
When you deploy the job in the production environment, it must meet the following requirements:
* Run once a day.
* Display status information on the company intranet as the job runs.
You need to recommend technologies for triggering and monitoring jobs.
Which technologies should you recommend? To answer, drag the appropriate technologies to the correct locations. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Livy
You can use Livy to run interactive Spark shells or submit batch jobs to be run on Spark.
Box 2: Beeline
Apache Beeline can be used to run Apache Hive queries on HDInsight. You can use Beeline with Apache Spark.
Note: Beeline is a Hive client that is included on the head nodes of your HDInsight cluster. Beeline uses JDBC to connect to HiveServer2, a service hosted on your HDInsight cluster. You can also use Beeline to access Hive on HDInsight remotely over the internet.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-livy-rest-interface
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-beeline
NEW QUESTION: 4
SQL1という名前のMicrosoft SQL Serverインスタンスを含むオンプレミスネットワークがあります。
App1という名前のAzure Logicアプリを作成します。
App1がSQL1でデータベースを照会できることを確認する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
To access data sources on premises from your logic apps, you can create a data gateway resource in Azure so that your logic apps can use the on-premises connectors.
Box 1: From an on-premises computer, install an on-premises data gateway.
Before you can connect to on-premises data sources from Azure Logic Apps, download and install the on-premises data gateway on a local computer.
Box 2: From the Azure portal, create an on-premises data gateway
Create Azure resource for gateway
After you install the gateway on a local computer, you can then create an Azure resource for your gateway.
This step also associates your gateway resource with your Azure subscription.
* Sign in to the Azure portal. Make sure you use the same Azure work or school email address used to install the gateway.
* On the main Azure menu, select Create a resource > Integration > On-premises data gateway.
* On the Create connection gateway page, provide this information for your gateway resource.
* To add the gateway resource to your Azure dashboard, select Pin to dashboard. When you're done, choose Create.
Box 3: From the Logic Apps Designer in the Azure portal, add a connector After you create your gateway resource and associate your Azure subscription with this resource, you can now create a connection between your logic app and your on-premises data source by using the gateway.
* In the Azure portal, create or open your logic app in the Logic App Designer.
* Add a connector that supports on-premises connections, for example, SQL Server.
* Set up your connection.
References:
https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-gateway-connection