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NEW QUESTION: 1
What is typically all deployed using an IaaS environment?
A. Traditional and cloud-native services
B. Cloud-native services an middleware
C. Middleware and traditional applications
D. Middleware andmicroservices
Answer: B
NEW QUESTION: 2
What is one possible cause of consistently smeared print output?
A. paper finish too rough or basis weight too light
B. paper moisture content too low
C. paper moisture content too high
D. paper finish too smooth or basis weight too heavy
Answer: D
NEW QUESTION: 3
アプリケーションは、複数のアベイラビリティーゾーンにまたがるAmazon EC2インスタンスで実行されます。インスタンスは、アプリケーションロードバランサーの背後にあるAmazon EC2 Auto Scalingグループで実行されます。アプリケーションは、EC2インスタンスのCPU使用率が40％以下のときに最高のパフォーマンスを発揮します。グループ内のすべてのインスタンスで望ましいパフォーマンスを維持しますか？
A. AWS Lambda関数を使用して、目的のAuto Scalingグループ容量を更新します
B. スケジュールされたスケーリングアクションを使用して、Auto Scalingグループを拡大および縮小します
C. 単純なスケーリングポリシーを使用してAuto Scalingグループを動的にスケーリングします
D. ターゲットトラッキングポリシーを使用して、Auto Scalingグループを動的にスケーリングします
Answer: D
Explanation:
With target tracking scaling policies, you select a scaling metric and set a target value. Amazon EC2 Auto Scaling creates and manages the CloudWatch alarms that trigger the scaling policy and calculates the scaling adjustment based on the metric and the target value.
The scaling policy adds or removes capacity as required to keep the metric at, or close to, the specified target value. In addition to keeping the metric close to the target value, a target tracking scaling policy also adjusts to the changes in the metric due to a changing load pattern.
CORRECT: "Use a target tracking policy to dynamically scale the Auto Scaling group" is the correct answer.
INCORRECT: "Use a simple scaling policy to dynamically scale the Auto Scaling group" is incorrect as target tracking is a better way to keep the aggregate CPU usage at around 40% INCORRECT: "Use an AWS Lambda function to update the desired Auto Scaling group capacity" is incorrect as this can be done automatically.
INCORRECT: "Use scheduled scaling actions to scale up and scale down the Auto Scaling group" is incorrect as dynamic scaling is required to respond to changes in utilization.
References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-target-tracking.html
NEW QUESTION: 4
You design a Business Intelligence (BI) solution by using SQL Server 2008. You are building an extract,
transform, and load (ETL) process by using SQL Server 2008 Integration Services (SSIS).
You stage data in a SQL Server 2008 database. You load a data warehouse that has 15 dimension tables
and 3 fact tables.
You need to design a control flow that meets the following requirements:
-Each table must be loaded with its own SSIS package. All packages must be controlled from a master
package.
-Dimension tables must have no interdependencies.
-Dimension tables must load without error before the Fact tables are loaded.
-Master package parallelism must be maximized.
What should you do?
A. Place the dimension packages in a sequence container. Use a precedence constraint set to Success to connect another sequence container holding the Fact packages. Set the FailParentOnFailure property to True for each dimension package.
B. Place the dimension packages in a sequence container and connect them by using a precedence constraint set to Success. Use a precedence constraint set to Success to connect another sequence container holding the Fact packages.
C. Connect the dimension packages by using a precedence constraint set to Success. Connect the Fact packages to the end of the dimension packages by using a precedence constraint set to Success. Set the FailPackageOnFailure property to True for each dimension package.
D. Place an Execute Package task inside a Foreach Loop container and change the connection string for the Execute Package task on each iteration. Connect the Fact packages to the end of the Foreach Loop container by using a precedence constraint set to Success. Set the FailPackageOnFailure property to True for the Foreach Loop container.
Answer: A
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