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NEW QUESTION: 1
The consideration of value creation is a principle of which stage of the service lifecycle?
A. Service strategy
B. Continual service improvement
C. Service transition
D. Service design
Answer: A

NEW QUESTION: 2
Unified Storage Management in VSI for VMware vSphere has which available features?
A. Provision file and block storage Extend file storage Deduplication/compression for file storage VM clones with VMware View Integration for file storage
B. Provision file and block storage Extend block storage Deduplication/compression for file storage VM clones with VMWare View Integration for file storage
C. Provision file and block storage Extend file and block storage Deduplication/compression for block and file storage VM clones with VMWare View Integration for block storage
D. Provision file and block storage Extend file and block storage Deduplication/compression for block storage VM clones with VMWare View Integration for file storage
Answer: A

NEW QUESTION: 3
セキュリティチームは、Amazon EC2インスタンスに接続されているすべてのAmazon EBSボリュームで、AWS Key Management Service（AWS KMS）暗号化を有効にする必要があります。暗号化が有効になっていない場合、会社のポリシーにより、EBSボリュームを切り離して削除する必要があります。 DevOpsエンジニアは、暗号化されていないEBSボリュームの検出と削除を自動化する必要があります。
最小の操作でこれを達成するために、エンジニアはどの方法を使用する必要がありますか？
A. ボリュームを説明および削除する権限を持つIAMロールでEC2インスタンスを起動します。 EC2インスタンスで5分ごとにスクリプトを実行して、すべてのリージョンのすべてのEBSボリュームを記述し、暗号化を有効にせずに接続されているボリュームを特定します。その後、スクリプトはそれらのボリュームを削除します。
B. AWS Configでルールを作成して、暗号化されていないEBSボリュームが添付されていないか確認します。 AWS Configが変更通知を送信する先のAmazon SNSトピックにAWS Lambda関数をサブスクライブします。
Lambda関数は変更通知をチェックし、非準拠のEBSボリュームを削除します。
C. AWS Lambda関数を作成して、リージョン内のすべてのEBSボリュームを記述し、暗号化を有効にせずにEC2インスタンスに接続されているボリュームを識別します。その後、この関数はすべての非準拠ボリュームを削除します。 AWS Lambda関数は、Amazon CloudWatchイベントのスケジュールされたルールによって5分ごとに呼び出されます。
D. EBSボリュームの作成時にAWS Lambda関数を呼び出すAmazon CloudWatchイベントルールを作成します。 Lambda関数は、EBSボリュームの暗号化をチェックします。暗号化が有効になっておらず、ボリュームがインスタンスに接続されている場合、関数はボリュームを削除します。
Answer: B

NEW QUESTION: 4
You are designing an AI solution that will be used to find buildings in aerial pictures.
Users will upload the pictures to an Azure Storage account. A separate JSON document will contain for the pictures.
The solution must meet the following requirements:
* Store metadata for the pictures in a data store.
* Run a custom vision Azure Machine Learning module to identify the buildings in a picture and the position of the buildings' edges.
* Run a custom mathematical module to calculate the dimensions of the buildings in a picture based on the metadata and data from the vision module.
You need to identify which Azure infrastructure services are used for each component of the AI workflow.
The solution must execute as quickly as possible.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Azure Blob Storage
Containers and blobs support custom metadata, represented as HTTP headers.
Box 2: NV
The NV-series enables powerful remote visualisation workloads and other graphics-intensive applications backed by the NVIDIA Tesla M60 GPU.
Note: The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote visualisation, deep learning and predictive analytics.
Box 3: F
F-series VMs feature a higher CPU-to-memory ratio. Example use cases include batch processing, web servers, analytics and gaming.
Incorrect:
A-series VMs have CPU performance and memory configurations best suited for entry level workloads like development and test.
References:
https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/

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