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NEW QUESTION: 1
複数のサーバーへのWindowsServer2008のインストールを自動化する必要があります。
何を使うべきですか？
A. Microsoft Software Installer (MSI)
B. Windows Installer Service
C. unattendinstall.exe
D. Windows Deployment Services (WDS)
Answer: D
NEW QUESTION: 2
A public class named Message has a method named SendMessage() method is leaking memory.
A. Add a finally statement and implement the gc.collect() method.
B. Remove the try...catch block and allow the errors to propagate.
C. Replace the try...catch block with a using statement.
D. Modify the Message class to use the IDisposable interface.
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/dotnet/api/system.gc.collect?redirectedfrom=MSDN&view=netframework-4.7.
NEW QUESTION: 3
Your company has a single Active Directory Domain Services (AD DS) domain with Windows Server 2008
R2 member servers and 1,000 Windows 7 client computers.
You are designing the deployment of a custom application.
You have the following requirements:
The application must be available to only users who need it.
Minimize network traffic during deployment.
You need to design a deployment strategy that meets the requirements.
Which deployment method should you use?
A. Microsoft System Center Configuration Manager 2007
B. RemoteApp and Desktop Connections
C. Software installation in Group Policy
D. Microsoft Application Virtualization (App-V)
Answer: B
Explanation:
The RemoteApp and Desktop Connections feature offers several benefits:
RemoteApp programs launch from the Start menu just like any other application. Published Remote Desktop connections are included alongside RemoteApp programs on the Start menu.
Changes to the published connection (such as newly published RemoteApp programs) are user's Start menu, without any effort on the user's part.
RemoteApp programs can be easily launched with Windows Search. Users only have to log on once, to create the connection. From that point on, updates happen with no prompt for user credentials.
RemoteApp and Desktop Connections does not require domain membership for client computers.
RemoteApp and Desktop Connections benefits from new features in Windows Server 2008 R2, such as Personal Desktop assignment or per-user application filtering. RemoteApp and Desktop Connections is built on standard technologies such as XML and HTTPS, making it possible for developers to build solutions around it. It also offers APIs that allow the client software to support other types of resources, in addition to RemoteApp programs and Remote Desktop connections.
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-d
https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks