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NEW QUESTION: 1
A user has created a custom metadata schema that includes a multi value text field After modifying the Tile that the metadata has been applied to. the user discovers that the property corresponding to the multi value text field contains a new value. What does this mean?
A. The multi value te*t field was simultaneously updated by a different AEM Assets user
B. The multi value text field is configured as a required field in the metadata schema
C. Another field in the metadata schema maps to the same property as the multi value text field
D. Another metadata schema that was previously applied to the asset is causing a conflict
Answer: A

NEW QUESTION: 2
会社は、5分ごとにAmazon S3へのクリックストリームデータファイルを受け取ります。 Pythonスクリプトは、1日1回Amazon EC2インスタンスでcronジョブとして実行され、各ファイルを処理して、Amazon RDSでホストされているデータベースにロードします。 cronジョブは、24時間のデータを処理するのに15〜30分かかります。データ利用者は、できるだけ早くデータを利用できるように要求します。
どのソリューションが望ましい結果を達成しますか？
A. cronジョブをAWS Lambda関数に変換し、EC2インスタンスでcronジョブを使用してこの新しい関数をトリガーします。
B. S3イベント通知を使用してファイルがAmazon S3に配信されるときに実行されるAWS Lambda関数を作成します。
C. cronジョブをAWS Lambda関数に変換し、Amazon CloudWatchイベントを使用して1時間に1回実行するようにスケジュールします。
D. インスタンスのサイズを増やして処理を高速化し、スケジュールを更新して1時間に1回実行します。
Answer: B
Explanation:
A: Will not help.
B: Not feasible since it is based on a schedule not event.
C: This is still based on schedule.
https://docs.aws.amazon.com/lambda/latest/dg/with-s3.html

NEW QUESTION: 3
How many supervisor engines must a Cisco Nexus chassis contain to support the In-Service Software Update feature?
A. 0
B. 1
C. 2
D. 3
Answer: D

NEW QUESTION: 4
ビジネスアナリストとデータサイエンティストがアドホッククエリをできるだけ早く実行できるように、分析データストアに推奨するAzureサービスはどれですか？
A. Azure Cosmos DB
B. Azure SQL Data Warehouse
C. Azure SQL Database
D. Azure Data Lake Storage Gen2
Answer: D
Explanation:
Explanation
There are several differences between a data lake and a data warehouse. Data structure, ideal users, processing methods, and the overall purpose of the data are the key differentiators.

Scenario: Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks notebooks.