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NEW QUESTION: 1
An organization acquires your company.
You need to change the root business unit in Microsoft Dynamics CRM.
What should you do?
A. Rename the organization in the System Settings.
B. Create a new business unit and reassign it as the root business unit.
C. Create a new business unit and re-parent the original root business unit
D. Rename the root business unit with the new company name.
Answer: D

NEW QUESTION: 2
Sie haben ein Azure-Abonnement mit dem Namen Abonnement1.
Sie planen, eine virtuelle Ubuntu Server-Maschine mit dem Namen VM1 für Subscription1 bereitzustellen.
Sie müssen eine benutzerdefinierte Bereitstellung der virtuellen Maschine durchführen. Während der Bereitstellung muss eine bestimmte vertrauenswürdige Stammzertifizierungsstelle (CA) hinzugefügt werden.
Was sollte man tun? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Erläuterung

Box 1: Unattend.xml
Zur Vorbereitung der Bereitstellung abgeschirmter VMs müssen Sie möglicherweise eine Antwortdatei für die Betriebssystemspezialisierung erstellen.
Unter Windows ist dies allgemein als "unattend.xml" -Datei bekannt. Die Windows PowerShell-Funktion New-ShieldingDataAnswerFile hilft Ihnen dabei. Ab Windows Server 1709 können Sie bestimmte Linux-Gastbetriebssysteme in geschützten VMs ausführen. Wenn Sie den Linux-Agenten von System Center Virtual Machine Manager verwenden, um diese VMs zu spezialisieren, kann das Cmdlet New-ShieldingDataAnswerFile kompatible Antwortdateien dafür erstellen.
Kasten 2: Das Azure-Portal
Sie können das Azure-Portal zum Bereitstellen einer virtuellen Linux-Maschine (VM) in Azure verwenden, auf der Ubuntu ausgeführt wird.
Referenzen: https://docs.microsoft.com/en-us/azure/virtual-machines/linux/quick-create-portal

NEW QUESTION: 3
A company plans to use Platform-as-a-Service (PaaS) to create the new data pipeline process. The process must meet the following requirements.
Ingest:
*Access multiple data sources
*Provide the ability to orchestrate workflow
*Provide the capability to run SQL Server Integration Services packages.
Store:
*Optimize storage for big data workloads.
*Provide encryption of data at rest.
*Operate with no size limits.
Prepare and Train:
*Provide a fully-managed and interactive workspace for exploration and visualization.
*Provide the ability to program in R, SQL, Python, Scala, and Java.
*Provide seamless user authentication with Azure Active Directory.
Model & Serve:
*Implement native columnar storage.
*Support for the SQL language
*Provide support for structured streaming.
You need to build the data integration pipeline.
Which technologies should you use? To answer, select the appropriate options in the answer area.

Answer:
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