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NEW QUESTION: 1
会社のセキュリティ計画を設計する必要があります。適切なセキュリティコントロールをフロアプランにドラッグアンドドロップします。
手順：すべてのオブジェクトを使用し、すべてのプレースホルダーを埋める必要があります。順序は関係ありません。シミュレーションが完了したら、[完了]ボタンを選択して送信してください。

Answer:
Explanation:

Explanation:
Cable locks - Adding a cable lock between a laptop and a desk prevents someone from picking it up and walking away Proximity badge + reader Safe is a hardware/physical security measure Mantrap can be used to control access to sensitive areas. CCTV can be used as video surveillance.
Biometric reader can be used to control and prevent unauthorized access. Locking cabinets can be used to protect backup media, documentation and other physical artifacts.

NEW QUESTION: 2
Es wird ein Projekt geliefert, das die genehmigten Geschäftsanforderungen erfüllt. Der Kunde identifiziert jedoch einige nicht zusammenhängende Probleme, die zu einer Verzögerung der endgültigen Produktgenehmigung führen und sich auf den Projektabschluss auswirken. Was sollte der Projektmanager tun?
A. Folgen Sie dem Eskalationsprozess, entwickeln Sie den Übergabebericht und schließen Sie das Projekt offiziell ab
B. Besprechen Sie die Auswirkungen mit dem Kunden, um die Akzeptanz zu erhalten, und schließen Sie das Projekt offiziell ab
C. Dokumentieren Sie die nicht zusammenhängenden Probleme, entwickeln Sie den Übergabebericht und schließen Sie das Projekt offiziell ab
D. Lösen Sie die nicht zusammenhängenden Probleme, erhalten Sie Akzeptanz und schließen Sie das Projekt offiziell ab
Answer: B

NEW QUESTION: 3
You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi-image classification deep learning model that uses a set of labeled bird photos collected by experts. You plan to use the model to develop a cross-platform mobile app that predicts the species of bird captured by app users.
You must test and deploy the trained model as a web service. The deployed model must meet the following requirements:
* An authenticated connection must not be required for testing.
* The deployed model must perform with low latency during inferencing.
* The REST endpoints must be scalable and should have a capacity to handle large number of requests when multiple end users are using the mobile application.
You need to verify that the web service returns predictions in the expected JSON format when a valid REST request is submitted.
Which compute resources should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: ds-workstation notebook VM
An authenticated connection must not be required for testing.
On a Microsoft Azure virtual machine (VM), including a Data Science Virtual Machine (DSVM), you create local user accounts while provisioning the VM. Users then authenticate to the VM by using these credentials.
Box 2: gpu-compute cluster
Image classification is well suited for GPU compute clusters
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/dsvm-common-identity
https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/training-deep-learning