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NEW QUESTION: 1
Sie haben mehrere Geräte in Microsoft Intune registriert.
Sie haben einen Microsoft Azure Active Directory-Mandanten (Azure AD), der die in der folgenden Tabelle aufgeführten Benutzer enthält.
Die Gerätetypeinschränkungen in Intune werden wie in der folgenden Tabelle gezeigt konfiguriert.
Sie fügen Benutzer3 als Geräteregistrierungsmanager in Intune hinzu.
Wählen Sie für jede der folgenden Anweisungen Ja aus, wenn die Anweisung wahr ist. Andernfalls wählen Sie Nein.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
Answer:
Explanation:
Explanation
Box 1:
No. User1 is in Group1. The two device type policies that apply to Group1 are Policy3 and the Default (All Users) policy. However, Policy3 has a higher priority than the default policy so Policy3 is the only effective policy. Policy3 allows the enrolment of Android and iOS devices only, not Windows.
Box 2:
No. User2 is in Group1 and Group2. The device type policies that apply to Group1 and Group2 are Policy2, Policy3 and the Default (All Users) policy. However, Policy2 has a higher priority than Policy 3 and the default policy so Policy2 is the only effective policy. Policy2 allows the enrolment of Windows devices only, not Android.
Box 3:
Yes. User3 is a device enrollment manager. Device restrictions to not apply to a device enrollment manager.
Reference:
https://docs.microsoft.com/en-us/intune/enrollment/enrollment-restrictions-set
NEW QUESTION: 2
Linda just got icons for her IBM Worklight iPhone application from her lead CSS designer. Under which folder should she place them so that they get picked up on the next build?
A. Frameworks
B. nativeResources
C. www
D. Resources
Answer: B
NEW QUESTION: 3
Which RAID type can be expanded?
A. RAID 5
B. RAID 3
C. RAID 6
D. RAID 1
Answer: A
NEW QUESTION: 4
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:
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
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