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NEW QUESTION: 1
Which three statements are true about unplugging a pluggable database (PDB)? (Choose three.)
A. The PDB must be open in read only mode.
B. The PDB must be dosed.
C. The unplugged PDB becomes a non-CDB.
D. The unplugged PDB can be plugged into another CDB.
E. The unplugged PDB can be plugged into the same multitenant container database (CDB)
F. The PDB data files are automatically removed from disk.
Answer: B,D,E
Explanation:
Explanation
B (not A): The PDB must be closed before unplugging it.
D: An unplugged PDB contains data dictionary tables, and some of the columns in these encode information in an endianness-sensitive way. There is no supported way to handle the conversion of such columns automatically. This means, quite simply, that an unplugged PDB cannot be moved across an endianness difference.
E (not F): To exploit the new unplug/plug paradigm for patching the Oracle version most effectively, the source and destination CDBs should share a filesystem so that the PDB's datafiles can remain in place.

NEW QUESTION: 2
The customer currently has one HPE 3PAR and two Nimble storage arrays connected via Fibre Channel (FC) to 12 HPE OL380 servers running VMware They make backups with Commvault to HPE StoreEver tape libraries. They also make snapshots inside the storage array, to lower RTO and RPO.
They store the snapshots on the array itself, and fear that they might be vulnerable to array failures They want to maintain their low RTO and RPO objectives while storing data outside the array is this a valid option for the customer?
Solution: Use HPE infoSight for autonomous data protection, storing data on multiple arrays based on predictive analytics defined policies
A. Yes
B. No
Answer: A

NEW QUESTION: 3
A company issues $5 million of commercial paper at a discount for 60 days. The interest cost is $85,000. The backup line fee for this transaction is $2,000, and the dealer fee is $1,000. What is the annual interest rate?
A. 10.56%
B. 10.74%
C. 10.71%
D. 10.89%
Answer: D

NEW QUESTION: 4
写真共有および出版会社は、毎日10,000〜150,000枚の画像を受け取ります。会社は、サービスに登録されている複数のサプライヤーとユーザーから画像を受け取ります。会社はAWSに移行しており、Amazon Rekognitionを使用してデータを追加することにより、既存のメタデータを充実させたいと考えています。
以下は追加データの例です。

クラウド移行プログラムの一環として、同社は既存の画像データをAmazon S3にアップロードし、ユーザーに画像を直接Amazon S3にアップロードするように指示しました。
これらの要件をサポートするために、ソリューションアーキテクトは何をすべきですか？
A. Amazon Kinesisを使用して、S3イベントに基づいてデータをストリーミングします。 Amazon EC2で実行されているアプリケーションを使用して、画像からメタデータを抽出します。次に、データをAmazon DynamoDBおよびAmazon CloudSearchに保存し、インデックスを作成します。 CloudSearchがサポートする検索機能を備えたWebフロントエンドを使用します。
B. S3イベント通知に基づいてAWS Lambdaをトリガーし、Amazon Rekognitionを使用して追加のメタデータを作成します。 Amazon RDS MySQL Multi-AZを使用してメタデータ情報を保存し、Lambdaを使用してインデックスを作成します。 Lambdaがサポートする検索機能を備えたWebフロントエンドを使用します。
C. S3イベント通知に基づいてAWS Lambdaをトリガーし、Amazon Rekognitionを使用して追加のメタデータを作成します。 Amazon DynamoDBを使用してメタデータを保存し、Amazon ESを使用してインデックスを作成します。ウェブフロントエンドを使用して、Amazon ESがサポートする検索機能を提供します。
D. S3イベント通知に基づいてAmazon SQSキューを開始します。次に、Amazon SQSからメタデータ情報をAmazon DynamoDBに送信します。 Amazon EC2で実行されているアプリケーションは、APIを使用してAmazon Rekognitionからデータを抽出し、DynamoDBおよびAmazon ESにデータを追加します。ウェブフロントエンドを使用して、Amazon ESがサポートする検索機能を提供します。
Answer: C
Explanation:
Explanation
https://github.com/aws-samples/lambda-refarch-imagerecognition