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NEW QUESTION: 1
회사에는 여러 팀의 분석가가 있습니다. 애널리스트의 각 팀마다 고유한 클러스터가 있습니다. 팀은 Amazon EMR에서 Hive, Spark-SQL 및 Presto를 사용하여 SQL 쿼리를 실행해야 합니다. 회사는 중앙 집중식 메타 데이터 레이어를 사용하여 아마존 S3 객체를 분석가에게 표로 공개해야 합니다.
어떤 접근 방식이 중앙 집중식 메타 데이터 레이어의 요구 사항을 충족합니까?
A. s3distcp와 outputManifest 옵션을 사용하여 RDS DDL 생성
B. Amazon S3에서 자동 파티션 검색을 사용한 명명 체계 지원
C. Hive Metastore를 Amazon RDS 데이터베이스로 변경하기위한 부트 스트랩 작업
D. 일반적인 Amazon DynamoDB 테이블을 사용하는 EMRFS 일관된 보기
Answer: D

NEW QUESTION: 2
効果的な情報セキュリティガバナンスフレームワークにとって最も重要なのは次のうちどれですか。
A. 理事会メンバーは情報セキュリティプログラムに取り組んでいます
B. 情報セキュリティプログラムは継続的に監視されます。
C. CIOは情報セキュリティプログラムの責任を負います。
D. 情報セキュリティポリシーは定期的に見直されます。
Answer: A

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are a database administrator for an e-commerce company that runs an online store. The company has the databases described in the following table.

Each day, data from the table OnlineOrder in DB2 must be exported by partition. The tables must not be locked during the process.
You need to write a Microsoft SQL Server Integration Services (SSIS) package that performs the data export.
What should you use?
A. MERGE statement
B. Union All transformation
C. Foreach Loop container
D. Merge transformation
E. Lookup transformation
F. Balanced Data Distributor transformation
G. Sequential container
H. Merge Join transformation
Answer: B
Explanation:
Explanation
The Union All transformation combines multiple inputs into one output. For example, the outputs from five different Flat File sources can be inputs to the Union All transformation and combined into one output.
References:
https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/union-all-transformation