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NEW QUESTION: 1
You manage a solution in Azure that consists of a single application which runs on a virtual machine (VM).
Traffic to the application has increased dramatically.
The application must not experience any downtime and scaling must be dynamically defined.
You need to define an auto-scale strategy to ensure that the VM can handle the workload.
Which three options should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Deploy a custom auto-scale implementation.
B. Deploy application automatic vertical scaling.
C. Deploy application automatic horizontal scaling.
D. Create a VM availability set.
E. Create a VM scale set.
Answer: A,C,E

NEW QUESTION: 2
A company has a large on-premises Apache Hadoop cluster with a 20 PB HDFS database. The cluster is growing every quarter by roughly 200 instances and 1 PB. The company's goals are to enable resiliency for its Hadoop data, limit the impact of losing cluster nodes, and significantly reduce costs. The current cluster runs
24/7 and supports a variety of analysis workloads, including interactive queries and batch processing.
Which solution would meet these requirements with the LEAST expense and down time?
A. Use AWS Snowball to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workloads based on historical data from the on-premises cluster. Store the on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
B. Use AWS Direct Connect to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
C. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
D. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster of similar size and configuration to the current cluster. Store the data on EMRFS.
Minimize costs by using Reserved Instances. As the workload grows each quarter, purchase additional Reserved Instances and add to the cluster.
Answer: C
Explanation:
Explanation
To migrate large datasets of 10PB or more in a single location, you should use Snowmobile. For datasets less than 10PB or distributed in multiple locations, you should use Snowball. In addition, you should evaluate the amount of available bandwidth in your network backbone. If you have a high speed backbone with hundreds of Gb/s of spare throughput, then you can use Snowmobile to migrate the large datasets all at once. If you have limited bandwidth on your backbone, you should consider using multiple Snowballs to migrate the data incrementally.

NEW QUESTION: 3
ネットワークにcontoso.comという名前のActive Directoryフォレストが含まれています。
Active Directoryフェデレーションサービス（AD FS）ファームがあります。ファームには、Windows Server 2012 R2を実行するServer1という名前のサーバーが含まれています。
サーバーファームServer2をサーバーファームに追加します。Server2はWindows Server 2016を実行します。ファームからServer1を削除します。
役割の分離を使用してファームを管理できるようにする必要があります。
どのコマンドレットを実行する必要がありますか？
A. Invoke-AdfsFarmBehaviorLevelRaise
B. Set-AdfsProperties
C. Update-AdfsRelyingPartyTrust
D. Set-AdfsFarmInformation
Answer: A
Explanation:
AD FS for Windows Server 2016 introduces the ability to have separation between server administrators and AD FS service administrators.
After upgrading our ADFS servers to Windows Server 2016, the last step is to raise the Farm Behavior Level using the Invoke-AdfsFarmBehaviorLevelRaise PowerShell cmdlet.
To upgrade the farm behavior level from Windows Server 2012 R2 to Windows Server 2016 use the Invoke-ADFSFarmBehaviorLevelRaise cmdlet.
References: https://technet.microsoft.com/en-us/library/mt605334(v=ws.11).aspx

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