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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets stated goals.
You have a mission-critical application that stores data in a Microsoft SQL Server instance. The application runs several financial reports. The reports use a SQL Server-authenticated login named Reporting_User. All queries that write data to the database use Windows authentication.
Users report that the queries used to provide data for the financial reports take a long time to complete. The queries consume the majority of CPU and memory resources on the database server. As a result, read-write queries for the application also take a long time to complete.
You need to improve performance of the application while still allowing the report queries to finish.
Solution: You configure the Resource Governor to limit the amount of memory, CPU, and IOPS used for the pool of all queries that the Reporting_user login can run concurrently.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
SQL Server Resource Governor is a feature than you can use to manage SQL Server workload and system resource consumption. Resource Governor enables you to specify limits on the amount of CPU, physical IO, and memory that incoming application requests can use.
References:https://msdn.microsoft.com/en-us/library/bb933866.aspx

NEW QUESTION: 2
What is a benefit of using FRF.12 in a Frame Relay network?
A. provides a Layer 3 mechanism for reducing latency in the network
B. eliminates the need for prioritization of delay-sensitive traffic
C. fragments packets into equal sizes to reduce fixed-network delay
D. reduces delay and jitter by expediting the transfer of smaller frames through the hardware transmit queue
Answer: D

NEW QUESTION: 3
회사의 애플리케이션이 Elastic Load Balancer 뒤의 Auto Scaling 그룹 내의 Amazon EC2 인스턴스에서 실행되고 있습니다.
응용 프로그램의 기록을 기반으로 회사는 매년 휴일 동안 트래픽이 급증 할 것으로 예상합니다.
솔루션 아키텍트는 Auto Scaling 그룹이 사전에 용량을 늘려 애플리케이션 사용자에게 미치는 성능 영향을 최소화 하도록 전략을 설계해야 합니다.
이러한 요구 사항을 충족하는 솔루션은 무엇입니까?
A. 예상되는 최대 수요 기간 이전에 Auto Scaling 그룹을 확장하기 위한 반복적 인 예약 작업 생성
B. CPU 사용률이 90 %를 초과 할 때 EC2 인스턴스를 확장하는 Amazon CloudWatch 경보 생성
C. 수요가 가장 많은 기간 동안 Auto Scaling 그룹의 최소 및 최대 EC2 인스턴스 수를 늘립니다.
D. Auto Scaling EC2_INSTANCE_LAUNCH 이벤트가 있을 때 경고를 보내도록 Amazon Simple Notification Service (Amazon SNS) 알림 구성
Answer: A
Explanation:
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. AWS Auto Scaling refers to a collection of Auto Scaling capabilities across several AWS services.
The services within the AWS Auto Scaling family include:
* Amazon EC2 (known as Amazon EC2 Auto Scaling).
* Amazon ECS.
* Amazon DynamoDB.
* Amazon Aurora.
The scaling options define the triggers and when instances should be provisioned/de-provisioned.
There are four scaling options:
* Maintain - keep a specific or minimum number of instances running.
* Manual - use maximum, minimum, or a specific number of instances.
* Scheduled - increase or decrease the number of instances based on a schedule.
* Dynamic - scale based on real-time system metrics (e.g. CloudWatch metrics).
The following table describes the scaling options available and when to use them:

The scaling options are configured through Scaling Policies which determine when, if, and how the ASG scales and shrinks.
The following table describes the scaling policy types available for dynamic scaling policies and when to use them (more detail further down the page):

The diagram below depicts an Auto Scaling group with a Scaling policy set to a minimum size of
1 instance, a desired capacity of 2 instances, and a maximum size of 4 instances:

Amazon EC2 Auto Scaling supports sending Amazon SNS notifications when the following events occur.

NEW QUESTION: 4
DevOpsエンジニアは、AWSでアプリケーションをカナリアテストするためのメカニズムを実装しています。このアプリケーションは最近修正され、セキュリティ、ユニット、および機能のテストが行​​われました。アプリケーションはAutoScalingグループにデプロイする必要があり、クラシックロードバランサーを使用する必要があります。
カナリアテストの要件を満たす設計はどれですか？
A. 青/緑環境用に別のクラシックロードバランサーとAuto Scalingグループを作成します。 Amazon Route 53を使用して、Classic Load Balancerで加重Aレコードを作成します。
B. 単一のClassic Load Balancerと青/緑環境用のAuto Scalingグループを作成します。 Classic Load Balancerを起点としてAmazon CloudFrontディストリビューションを作成します。 CloudFrontを使用してトラフィックを調整します。
C. 青/緑環境用に別のクラシックロードバランサーとAuto Scalingグループを作成します。 Classic Load Balancerの別個のステージでAmazon API Gatewayを作成します。この段階に重みを付けてトラフィックを調整します。
D. 単一のClassic Load BalancerとBlue / Green環境用のAuto Scalingグループを作成します。 Amazon Route 53を使用して、クラシックロードバランサーIPのAレコードを作成します。 Aレコードを使用してトラフィックを調整します。
Answer: A