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NEW QUESTION: 1
Scenario: A server farm has 12 servers in the FARM worker group with more than 1,000 users and 20 published applications. Two of the published applications perform excessive CPU context switches.
What can the administrator do to ensure that the resource-intensive applications will run optimally in the server farm?
A. Assign a load evaluator to both resource-intensive applications.
B. Apply the session importance policy to both resource-intensive applications.
C. Apply the multi-Stream policy to both resource-intensive applications.
D. Assign a load evaluator to the FARM worker group.
Answer: A
NEW QUESTION: 2
When is the intent resolution process triggered?
A. When the application calls method startAcitivyIntentResolution.
B. When the system receives an explicit intent to start an activity.
C. When the system receives an implicit intent to start an activity.
D. When an explicit intent starts a service.
Answer: C
NEW QUESTION: 3
BRAGGART : MODESTY
A. candidate : ambition
B. wallflower : timidity
C. embezzler : greed
D. invalid : malady
E. fledgling : experience
Answer: E
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 4
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 loading data from an OLTP database to a data warehouse.
The OLTP database includes a table (or sales data and a table for refund data.
The data warehouse contains a single table for all the sales and refund data.
Which component should you use to load the data to the data warehouse?
A. the Aggregate transformation
B. the Data Conversion transformation
C. an Execute SQL task
D. the Merge transformation
E. the Slowly Changing Dimension transformation
F. the Conditional Split transformation
G. the Lookup transformation
Answer: D
Explanation:
Explanation
The Merge transformation combines two sorted datasets into a single dataset. The rows from each dataset are inserted into the output based on values in their key columns.
By including the Merge transformation in a data flow, you can merge data from two data sources, such as tables and files.
References:
https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/merge-transformation?view
