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NEW QUESTION: 1
고객에게 Amazon S3 버킷이 있습니다. 개체는 여러 데이터 스트림에서 서버 클러스터에 의해 동시에 업로드됩니다. 고객은 Amazon DynamoDB 테이블을 사용하여 Amazon S3에 업로드 된 개체의 카탈로그를 유지 관리합니다. 이 카탈로그에는 다음과 같은 자료가 있습니다.
ObjectName을 얻을 수있는 StreamName, TimeStamp 및 ServerName
고객은 정의 된 시간 범위 내에서 지정된 스트림 또는 서버에 대한 조회를 지원하기 위해 카탈로그를 정의해야합니다.
어떤 DynamoDB 테이블 구성표가 이러한 쿼리를 지원하는 데 가장 효율적입니까?
A. 파티션 키로 ServerName, 정렬 키로 타임 스탬프로 기본 키를 정의하십시오. 지방 보조 인덱스 또는 글로벌 보조 인덱스를 정의하지 마십시오.
B. StreamName을 Partition Key, TimeStamp, ServerName을 Sort Key로 사용하여 기본 키를 정의합니다. ServerName을 파티션 키로, TimeStamp와 StreamName을 차례로 사용하여 전역 보조 인덱스를 정의하십시오.
C. 파티션 키로 ServerName을 가진 기본 키를 정의하십시오. 파티션 키로 TimeStamp를 사용하여 로컬 보조 색인을 정의하십시오. 분할 키로 StreamName, 정렬 키로 타임 스탬프로 전역 보조 색인을 정의하십시오.
D. 파티션 키로 ServerName을 사용하여 기본 키를 정의합니다. StreamName을 파티션 키로 사용하여 로컬 보조 인덱스를 정의하십시오. TimeStamp를 파티션 키로 사용하여 전역 보조 인덱스를 정의하십시오.
Answer: A
NEW QUESTION: 2
Alibaba Cloud China Connect is a service that can help international companies do business in China. Which of the following services is not included in China Connect?
A. Office registration support
B. ICP Support
C. Web hosting
D. Connect your service with Alibaba Group ecosystem
Answer: D
NEW QUESTION: 3
Azure Machine Learningを使用して機械学習モデルをトレーニングしています。トレーニングスクリプトをリモートで実行するコンピューティングターゲットが必要です。次のPythonコードを実行します。
Answer:
Explanation:
Explanation
Box 1: Yes
The compute is created within your workspace region as a resource that can be shared with other users.
Box 2: Yes
It is displayed as a compute cluster.
View compute targets
1. To see all compute targets for your workspace, use the following steps:
2. Navigate to Azure Machine Learning studio.
3. Under Manage, select Compute.
4. Select tabs at the top to show each type of compute target.
Box 3: Yes
min_nodes is not specified, so it defaults to 0.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.compute.amlcompute.amlcomputeprovis
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-studio