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NEW QUESTION: 1
会社には、請求書を生成し、請求書をオンラインで利用できるようにするアプリケーションがあります。
請求書はPDFとしてAmazon S3バケットに保存されます。通常、顧客は発行された月の各請求書のみを表示します。ただし、過去の請求書はすぐに入手できる必要があります。会社がより多くの顧客を獲得するにつれて、ストレージコストの上昇が懸念されます。
データを保存する最も費用対効果の高い方法は何ですか？
A. 現在の請求書にAmazon S3を使用します。 30日後に請求書をGLACIERストレージクラスに移行するライフサイクルルールを設定します。
B. 現在の請求書にAmazon S3を使用します。 30日後に請求書をAmazon S3 Standard-Infrequent Access（S3 Standard-IA）に移行するライフサイクルルールを設定します。
C. 請求書をバイナリとしてAmazon RDSデータベースインスタンスに保存します。顧客が請求書を要求したときに、データベースからそれらを取得します。
D. 請求書をテキストファイルとして保存します。顧客が請求書をダウンロードするときに、Amazon CloudFrontを使用して請求書をテキストからPDFに変換します。
Answer: B

NEW QUESTION: 2
Consider a database with 4 transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
The minimum support is 25%. Which rule has a confidence equal to 50%?
A. {bread} => {milk}
B. {juice} => {soda}
C. {bread,milk} => {cheese}
D. {bread} => {cheese}
Answer: D

NEW QUESTION: 3
You are creating a SQL Server Analysis Services (SSAS) cube.
You need to create a time dimension. It must be linked to a measure group named Sales at the day granularity level. It must also be linked to a measure group named Salary at the month granularity level.
What should you do?
A. Use the Business Intelligence Wizard to define dimension intelligence.
B. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
C. Use role playing dimensions.
D. 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.
E. Create a dimension. Then add a cube dimension and link it several times to the measure group.
F. Create several dimensions. Add each dimension to the cube.
G. 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.
H. Add a measure that uses the Count aggregate function to an existing measure group.
I. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
J. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
K. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
L. 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.
M. 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.
N. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
O. Add a measure group that has one measure that uses the DistinctCount aggregate function.
Answer: N

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