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NEW QUESTION: 1
A customer has a Power 570 server with a 3582 Tape Library and LTQ-4 drives. The customer is buying a Power 740 server and wants the highest performance tape drive which will enable him to write tapes that can be read on the Power 570.
Which of the following will perform that task?
A. 3573 with LTO-5
B. 3582 with LTO-6
C. 3573 with LTO-6
D. 3573 with LTO-4
Answer: A

NEW QUESTION: 2
애플리케이션은 여러 가용 영역의 Amazon EC2 인스턴스에서 실행됩니다. 인스턴스는 Application Load Balancer 뒤의 Amazon EC2 Auto Scaling 그룹에서 실행됩니다. EC2 인스턴스의 CPU 사용률이 40 % 이상인 경우 애플리케이션이 가장 잘 수행됩니다. 그룹 내 모든 인스턴스에서 원하는 성능을 유지하려면?
A. 예약 된 스케일링 작업을 사용하여 Auto Scaling 그룹의 스케일 업 및 스케일 다운
B. AWS Lambda 함수를 사용하여 원하는 Auto Scaling 그룹 용량을 업데이트하십시오.
C. 간단한 조정 정책을 사용하여 Auto Scaling 그룹을 동적으로 조정
D. 대상 추적 정책을 사용하여 Auto Scaling 그룹을 동적으로 조정
Answer: D
Explanation:
ence: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-target-tracking.html
"With target tracking scaling policies, you select a scaling metric and set a target value. Amazon EC2 Auto Scaling creates and manages the CloudWatch alarms that trigger the scaling policy and calculates the scaling adjustment based on the metric and the target value. The scaling policy adds or removes capacity as required to keep the metric at, or close to, the specified target value. In addition to keeping the metric close to the target value, a target tracking scaling policy also adjusts to changes in the metric due to a changing load pattern. For example, you can use target tracking scaling to: Configure a target tracking scaling policy to keep the average aggregate CPU utilization of your Auto Scaling group at 40 percent. Configure a target tracking scaling policy to keep the request count per target of your Application Load Balancer target group at 1000 for your Auto Scaling group."

NEW QUESTION: 3
Azure Data Lake Storage Gen2を使用して、Azure Databricksインタラクティブなノートブックを使用してデータサイエンティストとデータエンジニアがクエリするデータを保存します。 Data Lake Storageのフォルダーはセキュリティで保護され、ユーザーは作業対象のプロジェクトに関連するフォルダーにのみアクセスできます。
ユーザーに適切なアクセスを提供するために、DatabricksおよびData Lake Storageに使用する認証方法を推奨する必要があります。 ソリューションでは、管理作業と開発作業を最小限に抑える必要があります。各Azureサービスに推奨する認証方法はどれですか。 回答するには、回答エリアで適切なオプションを選択してください。注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Databricks: Personal access tokens
To authenticate and access Databricks REST APIs, you use personal access tokens. Tokens are similar to passwords; you should treat them with care. Tokens expire and can be revoked.
Data Lake Storage: Azure Active Directory
Azure Data Lake Storage Gen1 uses Azure Active Directory for authentication.
References:
https://docs.azuredatabricks.net/dev-tools/api/latest/authentication.html
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lakes-store-authentication-using-azure-active-directo