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NEW QUESTION: 1
Customer Requirements:
You have been tasked with creating a vSphere 6.5 data center design for an organization. The organization wants three defined virtual machine performance levels:
- Gold Tier - High workload VMs
- Silver Tier - Medium workload VMs
- Bronze Tier - Development workload VMs
The organization has eight ESXi hosts that can be used in the design. Five of the hosts are older "medium performance" hosts, while the last 3 are newer "high performance" hosts that provide better resources when compared to the other hosts. The organization has provided a list of requirements that the design must meet:
- Gold Tier virtual machines should run only on high performance servers, unless no high performance servers are available. They should also be allocated 75% of overall available resources regardless of placement.
- Silver Tier virtual machines should run only on medium performance servers, unless no medium performance servers are available. They should also be allocated 25% of overall available resources regardless of placement.
- Bronze Tier virtual machines should run only on medium performance servers. They should also receive a 35% subset of resources from those allocated to the Silver Tier.
Design Requirements:
Create a logical design that shows resource allocation and cluster policies needed to meet the customer's requirements. The design should include:
- All required server(s)
- All required resource(s)
Place host(s) in the required DRS group(s). Place virtual machines in the appropriate resource pool(s).
Connect parent to child resource pool connector(s) where needed. Connect the appropriate affinity connector(s) where needed.




Answer:
Explanation:
See the solution below
Explanation:
Check below for answer solution

NEW QUESTION: 2
Which is the correct formula for calculating expected activity cost for three-point estimating?
A. Ce = (C0 + 4Cm + Cp)/6
B. Ce = (C0 + 6Cm + Cp)/4
C. Ce = (6C0 + Cm + Cp)/4
D. Ce = (C0 + C,,, + 4Cp) / 6
Answer: A

NEW QUESTION: 3
注：この質問は同じシナリオを提示する一連の質問の一部です。 連載の各質問には、記載されている目標を達成できる可能性のある固有の解決策が含まれています。 他の人が正しい解決策を持っていないかもしれない間、いくつかの質問セットは複数の正しい解決策を持つかもしれません。
このセクションで質問に答えた後は、それに戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
ネットワークには、次の表に示すActive Directoryフォレストとドメインがあります。

ForestAとForestBの間に双方向のフォレスト信頼が存在します。
ForestBの各ドメインには、サーバーの管理に使用されるユーザーアカウントが含まれています。
ForestBのサーバーを管理するために使用されるユーザーアカウントが、ForestAのサーバーオペレータのメンバーであることを確認する必要があります。
解決策：ForestBの各ドメインで、それぞれのドメインのユーザーアカウントを含むグローバルグループを作成します。 DomainBRootにユニバーサルグループを作成します。 新しいグローバルグループを新しいユニバーサルグループに追加します。 ForestAのサーバーオペレータのメンバシップを変更します。
これは目標を達成していますか？
A. Yes
B. No
Answer: A
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/windows/security/identity-protection/access-control/active-directory-security-g

NEW QUESTION: 4
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 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.
D. 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.
Answer: D
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.