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NEW QUESTION: 1
企業は、標準のSQLと既存のビジネスインテリジェンスツールを使用して、大規模なペタバイト規模のデータセットに対してさまざまなデータ分析ジョブを実行します。データの大部分は構造化されていますが、データの一部は構造化されておらず、Amazon S3にあります。
この使用例をサポートするためにどのテクノロジーを使用する必要がありますか？
A. アベイラビリティーゾーン全体に15個のレプリカが分散されたAmazon auroraデータベースクラスター。
B. Amazon RedshiftとAmazon Redshift Spectrum。
C. Amazon DynamoDB Acceleratorを使用したAmazon DynamoDB。
D. クラスターモードが有効なRedus用Amazon ElastiCache。
Answer: B

NEW QUESTION: 2
You have created payment terms and associated them with the reference data set.
Business unit X has a set assignment of Enterprise set for payment terms.
Payment Term = Net 30, Reference Data Set = Enterprise Set
Payment Term = Net 45, Reference Data Set = Enterprise Set
Payment Term = 1%/10 Net 30, Reference Data Set = USA Set
Payment Term = Net 45, Reference Data Set = USA Set
If an Invoice is raised under business unit X.
Which payment terms are applicable to the transaction?
A. Net 30 (Enterprise Set). Net 45 (USA Set)
B. Net 30 (Enterprise Set), Net 45 (Enterprise Set)
C. 1%/10 Net 30 (USA Set), Net 45 (USA Set)
D. Net 45 (Enterprise Set), Net 45 (USA Set)
Answer: B

NEW QUESTION: 3
You are developing an application by using C#. The application will process several objects per second.
You need to create a performance counter to analyze the object processing.
Which three actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)

Answer:
Explanation:

Explanation
Box 1: Create a CounterCreationDataCollection collection. Then create the counters as CounterCreationData object and set necessary properties.
Box 2: Add ConterCreationData to the collection by calling the Add() method of the collection Box 3: Call the Create method of the PerformanceCounterCategory and pass the collection to the method CounterCreationDataCollection counterDataCollection = new CounterCreationDataCollection(); // Box1
// Add the counter. Box 1
CounterCreationData averageCount64 = new CounterCreationData();
averageCount64.CounterType = PerformanceCounterType.AverageCount64;
averageCount64.CounterName = "AverageCounter64Sample";
counterDataCollection.Add(averageCount64);
// Add the base counter.
CounterCreationData averageCount64Base = new CounterCreationData();
averageCount64Base.CounterType = PerformanceCounterType.AverageBase;
averageCount64Base.CounterName = "AverageCounter64SampleBase";
counterDataCollection.Add(averageCount64Base); // Box 2
// Create the category. Box 3
PerformanceCounterCategory.Create("AverageCounter64SampleCategory",
"Demonstrates usage of the AverageCounter64 performance counter type.", PerformanceCounterCategoryType.SingleInstance, counterDataCollection);

NEW QUESTION: 4
Below is a sample document in a given collection test.
{ a : 5, b : 3, c: 2, d : 1 >
Given a compound index { a: 1, b:l, c:l, d:l}, Which of the below query will not use in-memory sorting? Select all valid.
A. db.test.find( { a: 5, b: 3 } ).sort( {c: 1 } )
B. db.test.find( { a: 5, b: 3 } ).sort( { c: 1, d : 1 } )
C. db.test.find( { a: 5, b: 3 } ).sort( { a: 1} )
D. db.test.find( { a: 5, b: 3 } ).sort( { a: 1, b: 1, c: 1 > )
Answer: A,B