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NEW QUESTION: 1
UCは特定のアカウントをパートナーと共有しており、パートナーチャネルを通じて管理される取引の可視性とコラボレーションを向上させるためにSalesforce to Salesforceの使用を検討しています。同社の主要パートナーも現在Salesforceを使用しています。この実装では何を考慮すべきですか？ 2つの答えを選んでください
A. パートナーは、共有アカウントでユニバーサルコンテナーによって作成されたすべての商談を確認できます。
B. パートナーは、共有アカウントに関連付けられた商談を作成して共有できます。
C. ユニバーサルコンテナーは、パートナーが管理する共有機会についてレポートできます。
D. パートナーは共有された商談のすべてのChatterフィードを表示できます。
Answer: B,C

NEW QUESTION: 2
HOTSPOT
You are designing a fact table that has 100 million rows and 1,800 partitions. The partitions are defined based on a column named OrderDayKey. The fact table will contain:
*
Data from the last five years
*
A clustered columnstore index
*
A column named YearMonthKey that stores the year and the month
Multiple transformations will be performed on the fact table during the loading process. The fact table will be hash distributed on a column named OrderId.
You plan to load the data to a staging table and to perform transformations on the staging table. You will then load the data from the staging table to the final fact table.
You need to design a solution to load the data to the fact table. The solution must minimize how long it takes to perform the following tasks:
*
Load the staging table.
*
Transfer the data from the staging table to the fact table.
*
Remove data that is older than five years.
*
Query the data in the fact table
How should you configure the tables? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION: 3
Which of the following system and data conversion strategies provides the GREATEST redundancy?
A. Phased approach
B. Direct cutover
C. Parallel run
D. Pilot study
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Parallel runs are the safest-though the most expensive-approach, because both the old and new systems are run, thus incurring what might appear to be double costs. Direct cutover is actually quite risky, since it does not provide for a 'shake down period' nor does it provide an easy fallback option. Both a pilot study and a phased approach are performed incrementally, making rollback procedures difficult to execute.

NEW QUESTION: 4
회사는 하루에 10GB의 속도로 성장하는 사용 권한 데이터 센터에 24TB MySQL 데이터베이스를 보유하고 있습니다. 데이터 센터는 50Mbps VPN 연결을 통해 회사의 AWS 인프라에 연결됩니다.
회사는 애플리케이션과 워크로드를 AWS로 마이그레이션하고 있습니다. 응용 프로그램 코드는 이미 Amazon EC2에 설치되고 테스트되었습니다. 이제 회사는 데이터베이스를 마이그레이션해야하며 AWS에서 실시간으로 실행하고자합니다.
3 주.
다음 중 최소한의 중단 시간으로 일정에 부합하는 방법은 무엇입니까?
A. 1. AWS DMS 인스턴스 실행 Amazon RDS Aurora MySQL DB 인스턴스 시작
2. 온 프레미스 및 Amazon RDS MySQL 데이터베이스 정보로 AWS DMS 인스턴스를 구성합니다.
3. VPN을 통해 AWS DMS 내에서 복제 작업을 시작합니다.
4. Amazon RDS MYSQL 데이터베이스를 가리 키도록 DNS 항목을 변경합니다.
5. 복제를 중지하십시오.
B. 1. 데이터베이스 고유 도구를 사용하여 로컬로 데이터베이스 내보내기 만들기
2. AWS Snowball을 사용하여 AWS로 가져 오기
3. Amazon RDS Aurora DB 인스턴스 실행
4. 내보내기에서 RDS Aurora DB 인스턴스의 데이터로드
5. VPN을 통해 온 - 프레미스 데이터베이스에서 ROS Aurora DB로 데이터베이스 복제를 설정하십시오
6. DNS 항목을 변경하십시오. RDS Aurora DB 인스턴스를 가리 킵니다.
7. 복제를 중지하십시오.
C. 1. 온 - 프레미스 응용 프로그램을 오프라인으로 전환
2. 데이터베이스 고유 도구를 사용하여 로컬로 데이터베이스 내보내기 만들기
3. AWS Snowball을 사용하여 AWS로 가져 오기
4. Amazon RDS Aurora DB 인스턴스 실행
5. 내보내기에서 RDS Aurora DB 인스턴스의 데이터로드
6. Amazon RDS Aurora DS 인스턴스를 가리 키도록 DNS 항목을 변경합니다
7. Amazon EC를 넣으시겠습니까? 호스팅 응용 프로그램 온라인
D. 1. VM 가져 오기 / 내보내기 서비스를 사용하여 온 - 프레미스 데이터베이스의 스냅 샷을 AWS로 가져옵니다.
2. 스냅 샷에서 새 EC2 인스턴스를 시작합니다.
3. VPN을 통해 구내에서 EC2 데이터베이스로 진행중인 데이터베이스 복제를 설정합니다.
4. 복제를 중지하십시오.
Answer: D