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NEW QUESTION: 1
슈퍼 패스트 게임 서버를 설치하기위한 범위가 주어졌으며 데이터베이스로 Amazon DynamoDB를 사용할 것인지 결정합니다. 테이블의 데이터에 효율적으로 액세스하기 위해 Amazon DynamoDB는 기본 키 속성에 대한 색인을 생성하고 관리합니다. 보조 색인은 조회 조작을 지원하기위한 대체 키와 함 2 테이블의 속성 서브 세트를 포함하는 자료 구조입니다. DynamoDB는 몇 가지 유형의 보조 인덱스를 지원합니까?
A. 0
B. 1
C. 2
D. 필요한만큼.
Answer: A
Explanation:
설명:
DynamoDB는 두 가지 유형의 보조 인덱스를 지원합니다.
로컬 보조 인덱스 - 테이블과 동일한 해시 키를 가지고 있지만 범위 키가 다른 인덱스입니다. 로컬 2 차 인덱스의 모든 파티션은 동일한 해시 키가있는 테이블 파티션으로 범위가 지정된다는 점에서 로컬 보조 인덱스는 "로컬"입니다.
글로벌 보조 인덱스 - 해시 및 범위 키가있는 인덱스로 테이블의 키와 다를 수 있습니다.
글로벌 보조 인덱스는 인덱스의 쿼리가 모든 파티션에서 테이블의 모든 데이터에 걸쳐있을 수 있기 때문에 "글로벌"로 간주됩니다.
참고:
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/SecondaryIndexes.html

NEW QUESTION: 2
Close Procurementsで使用されているツールまたはテクニックはどれですか？
A. 契約プラン
B. 閉鎖プロセス
C. 調達監査
D. 調達計画
Answer: C

NEW QUESTION: 3
Which two statements are true about Oracle Data Pump export and import operations? (Choose two.)
A. You can detach from a data pump import job and reattach later.
B. You can detach from a data pump export job and reattach later.
C. Data pump import requires the import file to be in a directory owned by the oracle owner.
D. The master table is the last object to be exported by the data pump.
E. Data pump uses parallel execution server processes to implement parallel import.
Answer: B,E
Explanation:
B: Data Pump can employ multiple worker processes, running in parallel, to increase job performance.
D: For export jobs, the master table records the location of database objects within a dump file set. / Export builds and maintains the master table for the duration of the job. At the end of an export job, the content of the master table is written to a file in the dump file set.
/ For import jobs, the master table is loaded from the dump file set and is used to control the sequence of operations for locating objects that need to be imported into the target database.

NEW QUESTION: 4
You have a table named SalesFact in an Azure SQL data warehouse. SalesFact contains sales data from the past 36 months and has the following characteristics:
* Is partitioned by month
* Contains one billion rows
* Has clustered columnstore indexes
All the beginning of each month, you need to remove data SalesFact that is older than 36 months as quickly as possible.
Which three actions should you perform in sequence in a stored procedure? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Create an empty table named SalesFact_work that has the same schema as SalesFact.
Step 2: Switch the partition containing the stale data from SalesFact to SalesFact_Work.
SQL Data Warehouse supports partition splitting, merging, and switching. To switch partitions between two tables, you must ensure that the partitions align on their respective boundaries and that the table definitions match.
Loading data into partitions with partition switching is a convenient way stage new data in a table that is not visible to users the switch in the new data.
Step 3: Drop the SalesFact_Work table.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-partition