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NEW QUESTION: 1
보안 엔지니어는 Amazon EC2 인스턴스에서 실행되는 기존의 3 계층 웹 애플리케이션을 관리하고 있습니다. 이 응용 프로그램은 인터넷에서 점점 더 많은 악의적 인 공격의 대상이 되었습니다.
보안 엔지니어가 알려진 취약점을 확인하고 공격을 제한하기 위해 어떤 단계를 수행해야 합니까?
(2 개를 선택하십시오.)
A. AWS Certificate Manager를 사용하여 클라이언트와 애플리케이션 서버 간의 모든 트래픽을 암호화하십시오.
B. Elastic Load Balancing을 사용하여 Secure Sockets Layer 암호화를 오프로드하십시오.
C. 응용 프로그램 보안 그룹을 검토하여 필요한 포트만 열려 있는지 확인하십시오.
D. AWS Key Management Services를 사용하여 클라이언트와 애플리케이션 서버 간의 모든 트래픽을 암호화하십시오.
E. Amazon Inspector를 사용하여 백엔드 인스턴스를 정기적으로 스캔하십시오.
Answer: B,E

NEW QUESTION: 2
Refer to the exhibit:

After implementing a new design for the network, a technician reviews the pictured CLI output as part of the MOP.
Which two statements describe what the technician can ascertain from the ImpNull output? (Choose two.)
A. Label 3 is in use for the prefix displayed and will be part of the MPLS label stack for packets destined for 192.168.10.10
B. Ultimate Hop Popping is in use for the prefix displayed.
C. Label 0 is used for the prefix displayed but will not be part of the MPLS label stack for packets destined for 192 168.10.10.
D. Penultimate Hop Popping is in use for the prefix displayed
E. Label 0 is used for the prefix displayed and will be part of the MPLS label stack for packets destined for
192.168.10.10
Answer: A,D

NEW QUESTION: 3
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