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NEW QUESTION: 1
会社は、Platform-as-a-Service（PaaS）を使用して新しいデータパイプラインプロセスを作成する予定です。プロセスは次の要件を満たしている必要があります。
摂取：
*複数のデータソースにアクセスする
*ワークフローを調整する機能を提供する
* SQL Server Integration Servicesパッケージを実行する機能を提供します。
格納：
*ビッグデータワークロード向けにストレージを最適化します。
*保存データの暗号化を提供します。
*サイズ制限なしで動作します。
準備とトレーニング：
*探索と視覚化のための完全に管理されたインタラクティブなワークスペースを提供します。
* R、SQL、Python、Scala、およびJavaでプログラミングする機能を提供します。
* Azure Active Directoryでシームレスなユーザー認証を提供します。
モデルとサービス：
*ネイティブのカラムナーストレージを実装します。
* SQL言語のサポート
*構造化ストリーミングのサポートを提供します。
データ統合パイプラインを構築する必要があります。
どのテクノロジーを使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
Answer:
Explanation:
Explanation
Ingest: Azure Data Factory
Azure Data Factory pipelines can execute SSIS packages.
In Azure, the following services and tools will meet the core requirements for pipeline orchestration, control flow, and data movement: Azure Data Factory, Oozie on HDInsight, and SQL Server Integration Services (SSIS).
Store: Data Lake Storage
Data Lake Storage Gen1 provides unlimited storage.
Note: Data at rest includes information that resides in persistent storage on physical media, in any digital format. Microsoft Azure offers a variety of data storage solutions to meet different needs, including file, disk, blob, and table storage. Microsoft also provides encryption to protect Azure SQL Database, Azure Cosmos DB, and Azure Data Lake.
Prepare and Train: Azure Databricks
Azure Databricks provides enterprise-grade Azure security, including Azure Active Directory integration.
With Azure Databricks, you can set up your Apache Spark environment in minutes, autoscale and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch and scikit-learn.
Model and Serve: SQL Data Warehouse
SQL Data Warehouse stores data into relational tables with columnar storage.
Azure SQL Data Warehouse connector now offers efficient and scalable structured streaming write support for SQL Data Warehouse. Access SQL Data Warehouse from Azure Databricks using the SQL Data Warehouse connector.
References:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/data-guide/technology-choices/pipeline-orchestration-da
https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks
NEW QUESTION: 2
Solutions Architect는 AWS에서 새로운 웹 응용 프로그램을 개발하고 있습니다. Architect는 애플리케이션이 매우 대중화 될 것으로 기대하므로 애플리케이션을 로드를 지원할수 있도록 확장해야 합니다. Architect는 인스턴스를 프로비저닝하거나 관리하지 않고 소프트웨어 개발에 집중하고 새로운 기능을 배치하고자 합니다. 적절한 솔루션은 무엇입니까?
A. 자동 확장 그룹 및 Amazon EC2를 사용한 탄력적 인로드 균형 조정
B. Amazon API 게이트웨이 및 Amazon EC2
C. Amazon CloudFront 및 AWS Lambda
D. Amazon API 게이트웨이 및 AWS 람다
Answer: A
NEW QUESTION: 3
By default, what are three valid routing tables? (Choose three.)
A. inet4.0
B. inet.3
C. inet6.0
D. inet.0
E. inet.6
Answer: B,C,D
Explanation:
The following names are reserved for the default routing tables maintained by the JUNOS software:
inet.0-Default Internet Protocol version 4 (IPv4) unicast routing table inet6.0-Default Internet Protocol version 6 (IPv6) unicast routing table instance-name.inet.0-Unicast routing table for a particular routing instance inet.1-Multicast forwarding cache inet.2-Unicast routes used for multicast reverse path forwarding (RPF) lookup inet.3-MPLS routing table for path information mpls.0-MPLS routing table for label-switched path (LSP) next hops
NEW QUESTION: 4
次のコマンドを実行して、いずれかのデータベースの保証された復元ポイントを作成します。
SQL> CREATE RESTORE POINT dbrsp1 GUARANTEE FLASHBACK DATABASE;
このコマンドを正常に実行するための2つの前提条件を特定します。
A. データベースのバックアップを作成する必要があります。
B. フラッシュバックデータベースを有効にする必要があります。
C. 元に戻す保持の保証を有効にする必要があります
D. データベースはARCHIVELOGモードで実行されている必要があります。
E. ごみ箱はデータベースに対して有効にする必要があります。
F. 高速リカバリ領域を有効にする必要があります。
Answer: D,F