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NEW QUESTION: 1
Refer to the exhibit.

Which method is using the users to access their mailboxes?
A. web access
B. VUI access
C. GUI access
D. phone access
Answer: D

NEW QUESTION: 2
AWSアカウントへのアクセスを保護するセキュリティ対策は次のうちどれですか？ （2つ選択してください。）
A. Amazon CloudFrontを有効にします。
B. IAMユーザーに最小限の特権アクセスを許可します。
C. 1つのIAMユーザーを作成し、多くの開発者やユーザーと共有します。
D. 特権ユーザーの多要素認証（MFA）をアクティブにします。
E. AWS CloudTrailを有効にします。
Answer: B,D
Explanation:
説明
サービスアカウント（つまり、AWS環境の外部で実行されているアプリケーションによるプログラムによるアクセスに使用されるアカウント）を作成して、アクセスキーを生成する場合は、ユースケースごとに専用のサービスアカウントを作成する必要があります。これにより、関連付けられたポリシーを特定の使用例に必要な権限のみに制限し、認証情報が侵害された場合の爆発範囲を制限できます。たとえば、モニタリングツールとリリース管理ツールの両方にAWS環境へのアクセスが必要な場合は、2つの個別のサービスアカウントを作成して、各ツールの最小限の権限セットを定義する2つの個別のポリシーを設定します。

NEW QUESTION: 3
You work for an online travel agency that also sells advertising placements on its website to other companies.
You have been asked to predict the most relevant web banner that a user should see next. Security is important to your company. The model latency requirements are 300ms@p99, the inventory is thousands of web banners, and your exploratory analysis has shown that navigation context is a good predictor.
You want to Implement the simplest solution. How should you configure the prediction pipeline?
A. Embed the client on the website, deploy the gateway on App Engine, and then deploy the model on AI Platform Prediction.
B. Embed the client on the website, deploy the gateway on App Engine, deploy the database on Cloud Bigtable for writing and for reading the user's navigation context, and then deploy the model on AI Platform Prediction.
C. Embed the client on the website, deploy the gateway on App Engine, deploy the database on Memorystore for writing and for reading the user's navigation context, and then deploy the model on Google Kubernetes Engine.
D. Embed the client on the website, and then deploy the model on AI Platform Prediction.
Answer: A