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NEW QUESTION: 1
You need to recommend an appropriate solution for the data mining requirements.
Which solution should you recommend?
A. Use Windows Server HPC Pack on-premises to schedule jobs and automate scaling of virtual machines in Azure.
B. Use Azure HPC Scheduler Tools to schedule jobs and automate scaling of virtual machines.
C. Design a schedule process that allocates tasks to multiple virtual machines, and use the Azure Portal to create new VMs as needed.
D. Use Traffic Manager to allocate tasks to multiple virtual machines, and use the Azure Portal to spin up new virtual machines as needed.
Answer: B
Explanation:
Explanation
* Scenario:
Virtual machines:
* The data mining solution must support the use of hundreds to thousands of processing cores.
* Minimize the number of virtual machines by using more powerful virtual machines. Each virtual machine must always have eight or more processor cores available.
* Allow the number of processor cores dedicated to an analysis to grow and shrink automatically based on the demand of the analysis.
* Virtual machines must use remote memory direct access to improve performance.
Task scheduling:
The solution must automatically schedule jobs. The scheduler must distribute the jobs based on the demand and available resources.

NEW QUESTION: 2
Which of the following is NOT a characteristic of good testing, independent of the development life cycle
model?
A. Testers are involved in reviewing documents as soon the documents are approved.
B. Testers are involved in reviewing documents as soon as drafts are available
C. Each test level has objectives specific for the test level
D. Every development activity is matched by a corresponding testing activity.
Answer: A

NEW QUESTION: 3
アプリケーションチームは、社内ツールの1つをリファクタリングして、オンプレミスハードウェアではなくAWSで実行します。
すべてのコードは現在Pythonで記述されており、スタンドアロンです。照会する外部状態ストアまたはリレーショナルデータベースもありません。
開発と本番の間で最も少ない量の変更が発生する展開パイプラインはどれですか？
A. 開発者はネイティブPython環境を使用する必要があります。依存関係が変更され、新しいコンテナの準備ができたら、AWS CodePipelineとAWS CodeBuildを使用して機能テストを実行し、新しいコンテナをAmazon ECRにアップロードします。カスタムコンテナでAWS CloudFormationを使用して、新しいAmazon ECSをデプロイします。
B. 開発者は、ローカル開発にDockerを使用する必要があります。依存関係が更新されるたびに、AWS SMSを使用してこれらのコンテナーをAmazon EC2のAMIとしてインポートします。 AWS CodePipelineを使用して、Auto Scalingグループに対して新しいコードの変更をテストします。
C. 開発者はネイティブPython環境を使用する必要があります。依存関係が変更され、新しいコードの準備ができたら、AWS CodePipelineとAWS CodeBuildを使用して機能テストを実行し、新しいコンテナーをAmazon ECRにアップロードします。カスタムコンテナでCodePipelineとCodeBuildを使用して、AWS Elastic Beanstalk内で新しいコードの変更をテストします
Answer: B

NEW QUESTION: 4
vMCU suite deployment, which componet is co-deployed? (Multiple Choice)
A. SC
B. SMC
C. EUA
D. CbudMCU
Answer: A,B,C,D