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NEW QUESTION: 1
あなたは鳥の健康と移動を追跡するプロジェクトのリードデータサイエンティストです。専門家が収集したラベル付きの鳥の写真のセットを使用するマルチクラス画像分類ディープラーニングモデルを作成します。
あなたは鳥の写真を10万枚持っています。すべての写真はJPG形式を使用し、AzureサブスクリプションのAzure BLOBコンテナーに保存されます。
深層学習モデルのトレーニングに使用されるAzure Machine Learning serviceワークスペースからAzure blobコンテナー内の鳥の写真ファイルにアクセスする必要があります。データの移動を最小限に抑える必要があります。
あなたは何をするべきか？
A. 鳥の写真を、Azure Machine Learningサービスワークスペースで作成されたblobデータストアにコピーします。
B. 鳥の写真を含むAzure BlobストレージをデータストアとしてAzure Machine Learningサービスに登録します。
C. Azure Cosmos DBデータベースを作成し、鳥の写真のストレージを含むAzure Blobをデータベースに接続します。
D. 鳥の写真を含むAzure Blobストレージを参照するTabularDatasetクラスを使用して、データセットを作成および登録します。
E. Azure Data Lakeストアを作成し、鳥の写真をストアに移動します。
Answer: B
Explanation:
We recommend creating a datastore for an Azure Blob container. When you create a workspace, an Azure blob container and an Azure file share are automatically registered to the workspace.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-access-data

NEW QUESTION: 2
새 앱의 GPS 좌표를 유지하기 위해 데이터 저장소를 선택하는 작업을 수행했습니다. 이 서비스는 모든 규모에서 일관된 단일 숫자 밀리 초 대기 시간이 필요합니다. 어떤 AWS 서비스가 요구 사항을 충족합니까?
A. 아마존 레드 시프트
B. Amazon RDS
C. Amazon DynamoDB
D. 아마존 S3
Answer: C
Explanation:
Explanation
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications. Start today by downloading the local version of DynamoDB, then read our Getting Started Guide.

NEW QUESTION: 3
構成監査が有効になっている場合、監査ログはどこに保存されますか？
A. /ifs/.ifsvar/audit/config/log
B. /var/log/audit_config
C. /var/log/isi_papi_d_audit.log
D. /ifs/.ifsvar/audit/audit.log
Answer: B

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