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NEW QUESTION: 1
You are designing a SQL Server Analysis Services (SSAS) cube.
You need to create a measure to count unique customers.
What should you do?
A. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
B. Add a measure group that has one measure that uses the DistinctCount aggregate function.
C. Use the Business Intelligence Wizard to define dimension intelligence.
D. Create several dimensions. Add each dimension to the cube.
E. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.
F. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
G. Add a measure that uses the Count aggregate function to an existing measure group.
H. Use role playing dimensions.
I. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
J. Create a dimension. Then add a cube dimension and link it several times to the measure group.
K. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.
L. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
M. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
N. Create a dimension with one attribute hierarchy. Set the IsAggregatable prooerty to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
O. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
Answer: B

NEW QUESTION: 2
자체 관리 데이터베이스를 실행하는데 사용할수 있는 다음 AWS 서비스는 무엇입니까?
A. AWS X-Ray
B. Amazon Route 53
C. Amazon Elastic Compute Cloud (Amazon EC2)
D. AWS Snowmobile
Answer: C
Explanation:
참조 : https://severalnines.com/news/aws-users-prefer-self-managed-databases

NEW QUESTION: 3
What starts the Linux Kernel during the boot process?
A. The Boot Loader
B. initd
C. The udev process
D. systemd
E. BIOS or UEFI depending on the hardware architecture
Answer: A

NEW QUESTION: 4
Sie generieren einen täglichen Bericht gemäß der folgenden Abfrage:

Die benutzerdefinierte Funktion Sales.ufn.GetLastOrderDate (UDF) ist wie folgt definiert:

Sie müssen die Leistung der Abfrage verbessern.
Was sollte man tun?
A. Schreiben Sie die Berichtsabfrage wie folgt neu:
SELECT c.CustomerName
VON Sales.Customer c
WHERE (SELECT OrderDate FROM Sales.ufnGetLastOrderDate (c.CustomerID)) <DATEADD (DAY, -90, GETDATE ()) Schreiben Sie die UDF wie folgt neu:
CREATE FUNCTION Sales.ufnGetLastOrderDate (@CustomerID int)
RETURNS @OrderTable TABLE (OrderDate datetime)
WIE
START
INSERT @OrderTable
SELECT MAX (s.OrderDate) As OrderDate
FROM Sales.SalesOrder s
WHERE s.CustomerID = @CustomerID
RÜCKKEHR
ENDE
B. Löschen Sie die UDF und schreiben Sie die Berichtsabfrage wie folgt neu:
SELECT c.CustomerName
VON Sales.Customer c
WO NICHT EXISTIERT (
SELECT ab Bestelldatum
FROM Sales.SalesOrder s
WO s.OrderDate> DATEADD (DAY, -90, GETDATE ())
AND s.CustomerID = c.CustomerID)
C. Löschen Sie die UDF und schreiben Sie die Berichtsabfrage wie folgt neu:
WITH cte (CustomerID, LastOrderDate) AS (
SELECT CustomerID, MAX (OrderDate) AS [LastOrderDate]
FROM Sales.SalesOrder
GRUPPE NACH Kunden-ID
)
SELECT c.CustomerName
VON cte
INNER JOIN Sales.Customer c ON cte.CustomerID = c.CustomerID
WHERE cte.LastOrderDate <DATEADD (DAY, -90 GETDATE ())
D. Schreiben Sie die Berichtsabfrage wie folgt neu:
SELECT c.CustomerName
VON Sales.Customer c
WHERE (SELECT OrderDate FROM Sales.ufnGetLastOrderDate (c.CustomerID)) <DATEADD (DAY, -90, GETDATE ()) Schreiben Sie die UDF wie folgt neu:
CREATE FUNCTION Sales.ufnGetLastOrderDate (@CustomerID int)
RETURNS @OrderTable TABLE (OrderDate datetime)
WIE
START
INSERT @OrderTable
SELECT MAX (s.OrderDate) As OrderDate
FROM Sales.SalesOrder s
WHERE s.CustomerID = @CustomerID
RÜCKKEHR
ENDE
Answer: C
Explanation:
We use a Common Table Expression (TBE) to optimize the query with a predicate pushdown.
Predicate pushdown is an optimization that applies conditions (predicates) as early as possible - ideally preventing any loading of unneeded rows.
References:
https://modern-sql.com/feature/with/performance