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The test has vital sections where NCP-CI-AWS Key Concepts questions are arranged as per their level of difficulty.

NEW QUESTION: 1
A company has had problems with their HVAC system being able to cool their datacenter as they have grown.
Which of the following could BEST be used to help reduce the load on the HVAC system?
A. Replacing traditional racks with water cooled racks
B. Taking the second power supplies out of non-critical servers
C. Turning off non-critical application servers during non-business hours
D. Replacing the CAT5 cables with CAT6 cables
Answer: A

NEW QUESTION: 2
HOTSPOT
A customer plans to upgrade from Microsoft Office 2007 to Office 2013.
The IT manager compares prices and discovers that the Office product key card (PKC) is less expensive than purchasing Office through a Select Plus agreement.
You need to identify which features and rights are available through each purchasing method.
What should you identify? To answer, select the available features and rights for each purchasing method in the answer area.
NCP-CI-AWS Key Concepts
Answer:
Explanation:
NCP-CI-AWS Key Concepts
Explanation:
* Office 2013 Professional PKC
Microsoft Office Professional 2013 Product Key Card - 1 PC
WHAT IT INCLUDES
The latest version of Word, Excel, PowerPoint, OneNote, Outlook, Access, and Publisher.
Office on one PC for business use.
For 1 PC only.
7 GB of online storage in OneDrive.
Free Office Web Apps1 for accessing, editing, and sharing documents.
An improved user interface optimized for a keyboard, pen, or touchscreen.
* Office 2013 Professional Plus, Select Plus
Office Professional Plus 2013 includes Word, PowerPoint, Excel, Outlook, OneNote,
Access, Publisher, and Lync.

NEW QUESTION: 3
A company is planning to upgrade from SharePoint 2010 to SharePoint 2013.
You need to find out the web traffic capacity of the SharePoint farm by using a Microsoft Visual Studio Team System project file.
Which tool should you use?
A. Network Monitor
B. Load Testing Kit (LTK)
C. SharePoint Health Analyzer
D. SharePoint Diagnostic Studio
Answer: B

NEW QUESTION: 4
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。
NCP-CI-AWS Key Concepts
Answer:
Explanation:
NCP-CI-AWS Key Concepts
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