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NEW QUESTION: 1
Welches der folgenden statistischen Konzepte berechnet das durchschnittliche Ergebnis, wenn die Zukunft Szenarien enthält, die möglicherweise eintreten oder nicht?
A. Modellierung und Simulation
B. Empfindlichkeitsanalyse
C. Erwartete Geldwertanalyse
D. Dreipunktschätzung
Answer: C
NEW QUESTION: 2
Universal containers is hearing complaints from users that recently released changes while they meet the functional requirements are not actually usable and/or do not meet their expectations for user experience for example, a Visualforce page that takes too long to display the first page of data.Which two types of testing should a technical Architect implement to reduce or eliminate the complaint?Choose 2 answers
A. Performance testing
B. Regression Testing
C. user Acceptance Testing
D. Unit Testing
Answer: A,C
NEW QUESTION: 3
Answer:
Explanation:
Explanation
Box 1: 0, 1, 2, 3, 4
Pivot example:
-- Pivot table with one row and five columns
SELECT 'AverageCost' AS Cost_Sorted_By_Production_Days,
[0], [1], [2], [3], [4]
FROM
(SELECT DaysToManufacture, StandardCost
FROM Production.Product) AS SourceTable
PIVOT
(
AVG(StandardCost)
FOR DaysToManufacture IN ([0], [1], [2], [3], [4])
) AS PivotTable;
Box 2: [CreditLimit]
Box 3: PIVOT
You can use the PIVOT and UNPIVOT relational operators to change a table-valued expression into another table. PIVOT rotates a table-valued expression by turning the unique values from one column in the expression into multiple columns in the output, and performs aggregations where they are required on any remaining column values that are wanted in the final output.
Box 4: 0, 1, 2, 3, 4
The IN clause determines whether a specified value matches any value in a subquery or a list.
Syntax: test_expression [ NOT ] IN ( subquery | expression [ ,...n ] )
Where expression[ ,... n ]
is a list of expressions to test for a match. All expressions must be of the same type as test_expression.
References: https://technet.microsoft.com/en-us/library/ms177410(v=sql.105).aspx
NEW QUESTION: 4
Amazon Redshift DatabaseはKMSを使用して暗号化されます。データエンジニアは、AWS CLIを使用して、別のAWSリージョンのデータベースのKMS暗号化スナップショットを作成する必要があります。
データエンジニアは、このタスクを達成するためにどの3つのステップを実行する必要がありますか？ （3つ選択してください。）
A. 宛先領域で、クロスリージョンレプリケーションを有効にし、作成されたコピー許可の名前を指定します
B. 宛先領域に新しいKMSキーを作成します
C. CreateSnapshotCopyGrantを使用して、Amazon RedshiftがソースリージョンのKMSキーを使用できるようにします
D. CreateSnapshotCopyGrantを使用して、Amazon Redshiftが宛先リージョンで作成されたKMSキーを使用できるようにします
E. 既存のKMSキーを宛先領域にコピーします
F. ソースで、クロスリージョンレプリケーションを有効にし、作成されたコピー許可の名前を指定します
Answer: A,B,C
Explanation:
説明
https://docs.amazonaws.cn/en_us/redshift/latest/mgmt/working-with-db-encryption.html#configure-snapshot-cop
