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NEW QUESTION: 1
You need to consolidate orders and prepare to rate shop shipments.
How should you complete the setup? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:


NEW QUESTION: 2
Which characteristic should a good policy framework provides?
A. Confirmation that practices are applied
B. Access to social media
C. Detailed process activities
D. A structure for consistency
Answer: D

NEW QUESTION: 3
企業はいくつかのアプリケーションをグローバルに展開しています。最近、セキュリティ監査人は、Amazon EBSディスク暗号化なしで起動されたAmazon EC2インスタンスがほとんどないことを発見しました。監査人は、複数のAWSアカウントとリージョンで暗号化されていないすべてのEBSボリュームの詳細を示すレポートを要求しました。また、これが発生した場合はいつでも通知を受ける必要があります。
最小限の運用オーバーヘッドでこれをどのように自動化できますか?
A. AWS Lambda関数を作成して、すべてのターゲットアカウントにAWS Configルールを設定します。 AWS Configアグリゲーターを使用して、複数のアカウントとリージョンからデータを収集します。集約されたレポートをAmazon S3バケットにエクスポートし、Amazon SNSを使用して通知を配信します。
B. すべてのイベントを一元化されたアカウントのAmazon S3バケットに配信するようにAWS CloudTrailを設定します。
ログがS3バケットに配信されるたびに、S3イベント通知機能を使用してAWS Lambda関数を呼び出し、AWS CloudTrailログを解析します。同じLambda関数を使用して、出力をAmazon SNSトピックに発行します。
C. EBS暗号化のAWS Config管理ルールを追加するAWS CloudFormationテンプレートを作成します。
CloudFormationスタックセットを使用して、すべてのアカウントとリージョンにテンプレートをデプロイします。構成ルールの統合評価結果をAmazon S3に保存します。非準拠のリソースが検出されたときに、Amazon SNSを使用して通知を送信します。
D. AWS CLIを使用して、JMESPATHクエリフィルターでaws ec2 describe-volumesクエリを呼び出すスクリプトを定期的に実行します。次に、出力をAmazon S3バケットに書き込みます。新しいデータがS3バケットに書き込まれたときにAmazon SNSを使用してイベントを送信するようにS3イベント通知を設定します。
Answer: C
Explanation:
Explanation
https://aws.amazon.com/blogs/aws/aws-config-update-aggregate-compliance-data-across-accounts-regions/
https://docs.aws.amazon.com/config/latest/developerguide/aws-config-managed-rules-cloudformation-templates

NEW QUESTION: 4
You are building a linear regression model on BigQuery ML to predict a customer's likelihood of purchasing your company's products. Your model uses a city name variable as a key predictive component. In order to train and serve the model, your data must be organized in columns. You want to prepare your data using the least amount of coding while maintaining the predictable variables. What should you do?
A. Use Cloud Data Fusion to assign each city to a region labeled as 1, 2, 3, 4, or 5r and then use that number to represent the city in the model.
B. Use TensorFlow to create a categorical variable with a vocabulary list Create the vocabulary file, and upload it as part of your model to BigQuery ML.
C. Use Dataprep to transform the state column using a one-hot encoding method, and make each city a column with binary values.
D. Create a new view with BigQuery that does not include a column with city information
Answer: A


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