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NEW QUESTION: 1
A company is planning to deploy a new business analytics application that requires 10.000 hours of compute time each month. The compute resources can have flexible availability, but must be as cost-effective as possible. The company will also provide a reporting service to distribute analytics reports, which needs to run at all times How should the solutions architect design a solution that meets these requirements?
A. Deploy the reporting service on a Spot Fleet. Deploy the analytics application as a container in Amazon ECS with AWS Fargate as the compute option Set the analytics application to use a custom metric with Service Auto Scaling.
B. Deploy the reporting service as a container in Amazon ECS with AWS Fargate as the compute option. Deploy the analytics application on an On-Demand Instance and purchase a Reserved Instance with a 3-year term. Set the analytics application to use a custom metric with Amazon EC2 Auto Scaling applied to the On-Demand Instance.
C. Deploy the reporting service as a container in Amazon ECS with AWS Fargate as the compute option. Deploy the analytics application on a Spot Fleet. Set the analytics application to use a custom metric with Amazon EC2 Auto Scaling applied to the Spot Fleet.
D. Deploy the reporting service on an On-Demand Instance. Deploy the analytics application as a container in AWS Batch with AWS Fargate as the compute option Set the analytics application to use a custom metric with Service Auto Scaling.
Answer: B
NEW QUESTION: 2
企業はデータを受け取ります(さまざまなソースを削除し、このデータを消費するために複数のアプリケーションを実装します。
週末にのみ実行される短期間のジョブが多数あります。データは週末全体ではなく、バッチで到着します。同社は、トランザクションの順序を維持しながらこのデータを取り込んで処理するためのAWS上の環境を必要としています。
AWSサービスのどの組み合わせが、最も費用効果の高い方法でこれらの要件を満たしていますか?
A. Amazon Simple Queue Service (Amazon SQS) with AWS Lambda
B. Amazon Simple Queue Service (Amazon SQS) with Amazon EC2 Auto Scaling
C. Amazon Kinesis Data Streams with Amazon EC2 Auto Scaling
D. Amazon Kinesis Data Streams with AWS Lambda
Answer: D
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
Which column on the Analysis tab in the Specification document provides the customer-specific logic for
analysis options?
Please choose the correct answer.
Response:
A. Analysis Type
B. Data Source
C. Structural Type
D. Dimension Category
Answer: B