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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 measure that uses the Count aggregate function to an existing measure group.
B. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
C. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
D. 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.
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 measure that uses the DistinctCount aggregate function to an existing measure group.
G. Use the Business Intelligence Wizard to define dimension intelligence.
H. Create several dimensions. Add each dimension to the cube.
I. Add a measure group that has one measure that uses the DistinctCount aggregate function.
J. 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.
K. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
L. Use role playing dimensions.
M. Create a dimension. Then add a cube dimension and link it several times to the measure group.
N. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
O. 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.
Answer: I

NEW QUESTION: 2
자체 관리 데이터베이스를 실행하는데 사용할수 있는 다음 AWS 서비스는 무엇입니까?
A. AWS Snowmobile
B. Amazon Elastic Compute Cloud (Amazon EC2)
C. Amazon Route 53
D. AWS X-Ray
Answer: B
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. initd
B. The Boot Loader
C. BIOS or UEFI depending on the hardware architecture
D. The udev process
E. systemd
Answer: B

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. 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
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. 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)
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