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NEW QUESTION: 1
____________________________は、意外な、または予期しない洞察を発見するために、面接データを照合して統合するのに役立つツールです。また、満たされていないニーズを明らかにし、不満の原因を見つけ、改善の余地を見つけ、さまざまな視点を探り、自分の仮定や信念に疑問を投げかけることもできます。
注：この質問には1つの正解があります。
A. 共感マップ
B. チャレンジに関連
C. deasと懸念
D. どんな考えでも
Answer: A

NEW QUESTION: 2
企業は、アプリケーションの複数の独立したインスタンスをデプロイする必要があります。フロントエンドアプリケーションはインターネットにアクセス可能です。ただし、企業ポリシーでは、バックエンドを互いに、およびインターネットから分離し、集中管理サーバーからアクセスできるようにすることを規定しています。新しいインスタンスがデプロイされるときにミスが発生する可能性を最小限に抑えるために、アプリケーションの設定は自動化する必要があります。
どのオプションが要件と最小化コストを満たしますか？
A. 単一のCloudFormationテンプレートを使用して、アプリケーションのIAMロールとリソースを別々のアカウントに複製します。各アプリケーションインスタンスのVPCを中央VPCに接続するためのVPCピアリングを含めます。
B. AWS CloudFormationテンプレートのパラメーターを使用して、別々のアカウントへのデプロイをカスタマイズします。中央管理サーバーへの通信を許可するためにNATゲートウェイを含めます。
C. AWS CloudFormationテンプレートを使用して各地域に同一のIAMロールを作成します。 AWS CloudFormation StackSetsを使用して、インスタンスごとにカスタマイズするためのパラメータを使用して各アプリケーションインスタンスをデプロイし、セキュリティグループを使用して各インスタンスを分離し、中央サーバーへのアクセスを許可します。
D. AWS CloudFormation StackSetsを使用して、アプリケーションのIAMロールとリソースの各インスタンスを別々のアカウントに作成します。中央管理サーバーのVPNゲートウェイへのVPN接続を含めます。
Answer: C

NEW QUESTION: 3
Which of the following theories addresses the human need to explain why things happen in an attempt to gain control or increase predictability?
A. Retention
B. Attribution
C. Motivation
D. Transfer
Answer: B

NEW QUESTION: 4
A web-based company wants to improve its conversion rate on its landing page Using a large historical dataset of customer visits, the company has repeatedly trained a multi-class deep learning network algorithm on Amazon SageMaker However there is an overfitting problem training data shows 90% accuracy in predictions, while test data shows 70% accuracy only The company needs to boost the generalization of its model before deploying it into production to maximize conversions of visits to purchases Which action is recommended to provide the HIGHEST accuracy model for the company's test and validation data?
A. Increase the randomization of training data in the mini-batches used in training.
B. Reduce the number of layers and units (or neurons) from the deep learning network.
C. Allocate a higher proportion of the overall data to the training dataset
D. Apply L1 or L2 regularization and dropouts to the training.
Answer: A