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NEW QUESTION: 1
Which management software solution allows IT administrators to manage PCs remotely and deploy images directly to the device?
A. LANDesk management software
B. HP Embedded Web Server software
C. Insight Control management software
D. Data Protector management software
Answer: A
Explanation:
Using LANDesk's management software means that IT can deliver the PC directly to the end user and manageit remotely by deploying the image to the box.

NEW QUESTION: 2
회사에는 여러 팀의 분석이 있습니다. 애널리스트의 각 팀마다 고유 한 클러스터가 있습니다. 팀은 Amazon EMR에서 Hive, Spark-SQL 및 Presto를 사용하여 SQL 쿼리를 실행해야합니다. 회사는 중앙 집중식 메타 데이터 레이어를 사용하여 아마존 S3 객체를 분석가에게 표로 공개해야합니다. 어떤 접근 방식이 중앙 집중식 메타 데이터 레이어의 요구 사항을 충족합니까?
A. Hive Metastore를 Amazon RDS 데이터베이스로 변경하기 위한 부트 스트랩 작업
B. Amazon S3의 자동 파티션 검색을 사용한 명명 체계 지원
C. s3distcp와 outputManifest 옵션을 사용하여 RDS DDL 생성
D. 일반적인 Amazon DynamoDB 테이블을 사용하는 EMRFS 일관된보기
Answer: C

NEW QUESTION: 3
Which tables belong to the hierarchy for characteristic OCOUNTRY? Note: There are 3 correct answers to this question.
A. /BIC/ICOUNTRY
B. /BIC/QCOUNTRY
C. D/BIC/HCOUNTRY
D. D/BIC/KCOUNTRY
E. /BIC/PCOUNTRY
Answer: A,C,D

NEW QUESTION: 4

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。
Answer:
Explanation:
See the explanation below.
Explanation
Step 1: Create a new Azure Data Factory V2
1. Go to the Azure portal.
2. Select Create a resource on the left menu, select Analytics, and then select Data Factory.

4. On the New data factory page, enter a name.
5. For Subscription, select your Azure subscription in which you want to create the data factory.
6. For Resource Group, use one of the following steps:
Select Use existing, and select an existing resource group from the list.
Select Create new, and enter the name of a resource group.
7. For Version, select V2.
8. For Location, select the location for the data factory.
9. Select Create.
10. After the creation is complete, you see the Data Factory page.
Step 2: Create a schedule trigger for the Data Factory
1. Select the Data Factory you created, and switch to the Edit tab.

2. Click Trigger on the menu, and click New/Edit.

3. In the Add Triggers page, click Choose trigger..., and click New.

4. In the New Trigger page, do the following steps:
a. Confirm that Schedule is selected for Type.
b. Specify the start datetime of the trigger for Start Date (UTC) to: 24:00:00 c. Specify Recurrence for the trigger. Select Every Hour, and enter 2 in the text box.

5. In the New Trigger window, check the Activated option, and click Next.
6. In the New Trigger page, review the warning message, and click Finish.
7. Click Publish to publish changes to Data Factory. Until you publish changes to Data Factory, the trigger does not start triggering the pipeline runs.

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

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