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NEW QUESTION: 1
You implement an enterprise data warehouse in Azure Synapse Analytics.
You have a large fact table that is 10 terabytes (TB) in size.
Incoming queries use the primary key SaleKey column to retrieve data as displayed in the following table:
You need to distribute the large fact table across multiple nodes to optimize performance of the table.
Which technology should you use?
A. hash distributed table with clustered Columnstore index
B. round robin distributed table with clustered Columnstore index
C. round robin distributed table with clustered index
D. heap table with distribution replicate
E. hash distributed table with clustered index
Answer: A
Explanation:
Hash-distributed tables improve query performance on large fact tables.
Columnstore indexes can achieve up to 100x better performance on analytics and data warehousing workloads and up to 10x better data compression than traditional rowstore indexes.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-query-performance
NEW QUESTION: 2
Based on the following table, what is the total float for activity (B)?
A. 4 Weeks
B. 0.0 Weeks
C. 2 Weeks
D. 6 Weeks
Answer: A
NEW QUESTION: 3
회사에는 생산 웹 사이트를 지원하는 Amazon RDS 데이터베이스가 있습니다. 영업 팀은 교육 프로그램의 효율성을 추적하기 위해 데이터베이스에 대해 쿼리를 실행해야 합니다. 프로덕션 데이터베이스에 대한 쿼리는 성능에 영향을 줄 수 없으며 솔루션을 유지 관리해야 합니다.
이러한 요구 사항을 어떻게 충족시킬 수 있습니까?
A. Amazon Redshift 데이터베이스를 사용하십시오. Redshift에 제품 데이터베이스를 복사하고 팀이 쿼리하도록하십시오.
B. 프로덕션 데이터베이스의 Amazon RDS 읽기 복제본을 사용하고 팀이 해당 데이터베이스에 대해 쿼리 할 수있게합니다.
C. 프로덕션 데이터베이스의 복제본을 실행하는 여러 Amazon EC2 인스턴스를로드 밸런서 뒤에 배치합니다.
D. Amazon DynamoDB 테이블을 사용하여 데이터 사본을 저장합니다.
Answer: A