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NEW QUESTION: 1
VPCパブリックサブネットは次のいずれかです。
A. 構成で[パブリックサブネット]オプションが選択されています。
B. インターネットゲートウェイ（IGW）を使用する、関連付けられたルーティングテーブルに少なくとも1つのルートがあります。
C. ネットワークアドレス変換（NAT）インスタンスを介して、関連付けられたルーティングテーブルにルートを含めます。
D. 0.0.0.0/0へのアウトバウンドトラフィックを許可するネットワークアクセス制御リスト（NACL）があります。
Answer: B
Explanation:
Aは、Amazonによるパブリックサブネットの定義です。
NEW QUESTION: 2
Given the following access log:
Which of the following accurately describes what this log displays?
A. Application integration with an externally hosted database
B. A vulnerability in jQuery
C. A vulnerability scan performed from the Internet
D. A vulnerability in Javascript
Answer: C
NEW QUESTION: 3
正誤問題：RedisのAmazon ElastiCacheレプリケーショングループでは、パフォーマンスチューニング上の理由から、プライマリグループとレプリカの1つが役割を交換して、レプリケーショングループ内のキャッシュノードの役割を変更できます。
A. 確かに、パフォーマンスは低下します。
B. TRUE
C. False。パフォーマンスチューニングを改善するには、レプリケーショングループを再作成する必要があります。
D. FALSE
Answer: B
Explanation:
説明
Amazon ElastiCacheでは、レプリケーショングループはRedisキャッシュクラスターのコレクションであり、1つのプライマリ読み取り/書き込みクラスターと、最大5つのセカンダリ、読み取り専用クラスターと呼ばれる読み取り専用クラスターがあります。プライマリクラスターとレプリカの1つが役割を交換することで、レプリケーショングループ内のキャッシュクラスターの役割を変更できます。パフォーマンスチューニングの理由でこれを行うことを決定する場合があります。
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/Replication.Redis.Groups.html
NEW QUESTION: 4
GPUベースのトレーニングを使用して、Azure Machine Learningサービスで画像認識のためのディープラーニングモデルを作成します。
リアルタイムのGPUベースの推論を可能にするコンテキストにモデルをデプロイする必要があります。
モデル推論のためにコンピューティングリソースを構成する必要があります。
どの計算タイプを使用する必要がありますか？
A. フィールドプログラマブルゲートアレイ
B. 機械学習コンピューティング
C. Azure Kubernetesサービス
D. Azureコンテナーインスタンス
Answer: C
Explanation:
You can use Azure Machine Learning to deploy a GPU-enabled model as a web service. Deploying a model on Azure Kubernetes Service (AKS) is one option. The AKS cluster provides a GPU resource that is used by the model for inference.
Inference, or model scoring, is the phase where the deployed model is used to make predictions. Using GPUs instead of CPUs offers performance advantages on highly parallelizable computation.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-inferencing-gpus