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High speed and efficiency.
NEW QUESTION: 1
DRAG DROP
You are editing a SQL Server Integration Services (SSIS) package that uses checkpoints.
The package performs the following steps:
1 . Download a sales transaction file by using FTP.
2 . Truncate a staging table.
3 . Load the contents of the file to the staging table.
4 . Merge the data with another data source for loading to a data warehouse.
The checkpoints are currently working such that if any of the four steps fail, the package will restart from the failed step the next time it executes.
You need to modify the package to ensure that if either the Truncate Staging Table or the Load Sales to Staging task fails, the package will always restart from the Truncate Staging Table task the next time the package runs.
Which three steps should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)
Answer:
Explanation:
NEW QUESTION: 2
You are designing a data warehouse with two fact tables. The first table contains sales per month and the second table contains orders per day.
Referential integrity must be enforced declaratively.
You need to design a solution that can join a single time dimension to both fact tables.
What should you do?
A. Create a view on the sales table.
B. Create a time dimension that can join to both fact tables at their respective granularity.
C. Join the two fact tables.
D. Create a surrogate key for the time dimension.
Answer: D
Explanation:
With dimensionally modeled star schemas or snowflake schemas, decision support queries follow a typical pattern: the query selects several measures of interest from the fact table, joins the fact rows with one or several dimensions along the surrogate keys, places filter predicates on the business columns of the dimension tables, groups by one or several business columns, and aggregates the measures retrieved from the fact table over a period of time. The following demonstrates this pattern, which is also sometimes referred to as a star join query: select ProductAlternateKey, CalendarYear,sum(SalesAmount) from FactInternetSales Fact join DimTime on Fact.OrderDateKey = TimeKey join DimProduct on DimProduct.ProductKey = Fact.ProductKey where CalendarYear between 2003 and 2004 and ProductAlternateKey like 'BK%' group by ProductAlternateKey,CalendarYear
NEW QUESTION: 3
A U.S. based high tech company is considering building a R&D office in Bangalore, India. Which of the following factors is the LEAST relevant in considering whither to build a new global enterprise or not?
A. Transfer capital earned to headquarters
B. Financial incentives
C. Infrastructure
D. Workforce costs
E. New market penetration
Answer: E
NEW QUESTION: 4
You are deploying an application to track GPS coordinates of delivery trucks in the United States.
Coordinates are transmitted from each delivery truck once every three seconds. You need to design an architecture that will enable real-time processing of these coordinates from multiple consumers. Which service should you use to implement data ingestion?
A. Amazon Simple Queue Service
B. AWS Data Pipeline
C. Amazon Kinesis
D. Amazon AppStream
Answer: C
Explanation:
Explanation/Reference:
Explanation:
https://aws.amazon.com/streaming-data/