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NEW QUESTION: 1

A. Option C
B. Option B
C. Option D
D. Option A
Answer: A
Explanation:
When the storage infrastructure is designed to support ESXi 5 hosts, the number of path to an iSCSI RDM are reaches its limit first.

NEW QUESTION: 2
프로젝트 관리자는 계획 단계가 끝날 무렵 프로젝트에 참여합니다. 프로젝트 관리자는 최근 두 명의 새로운 이해 관계자가 추가되었음을 알게 됩니다.
새로운 이해 관계자가 완전히 참여한 매트를 확보하기 위해 프로젝트 관리자는 어떻게 해야 합니까?
A. 새로운 이해 관계자 요구 사항을 수용 할 수 있도록 프로젝트 관리 계획을 업데이트하십시오.
B. 보관 된 추진 문서를 새로운 이해 관계자에게 제공하고 추진 회의에 참석하도록 합니다.
C. 새로운 이해 관계자를 개별적으로 그리고 그룹으로 만나 피드백을 수집하고 요구 사항을 업데이트
D. 기존 이해 관계자에게 새로운 이해 관계자의 요구 사항을 포함하도록 요구 사항을 업데이트해야 한다고 알린다.
Answer: C

NEW QUESTION: 3
You are a Dynamics 365 for Customer Service system administrator. Sales team members work remotely disconnected from the internet at times.
Sales team members need to store documents in the cloud when they are online and share the documents with others with the appropriate permissions.
You need to configure Microsoft Onedrive for Business within Dynamics 365 to meet the requirements.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

1 - Ensure server-based authentication with Microsoft SharePoint online is configured within Dynamics 365 online.
2 - Enable OneDrive for Businsess in Dynamics 365 within Document Mangement.
3 - Add security role with appropriate permissions to each users Dynamics 365 login.

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