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NEW QUESTION: 1
What usually happens to the collateral in a tri-party repo?
A. It is put at the disposal of the buyer
B. It is frozen in the sellers account with the tri-panty agent
C. It is held by the tn-party agent in the name of the buyer
D. It is held by the seller in the name of the buyer
Answer: C

NEW QUESTION: 2
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

NEW QUESTION: 3
次の表に示すコンピュータがあります。

どのコンピュータがComputer1と同じIPv6サブネット上にありますか？
A. コンピューター2のみ
B. 計算済みと計算2のみ
C. コンピューター2とコンピューター3のみ
D. コンピューター2コンピューター3、およびコンピューター4
Answer: A
Explanation:
References:
http://www.firewall.cx/networking-topics/protocols/877-ipv6-subnetting-how-to-subnet-ipv6.html

NEW QUESTION: 4
During an office move a sever containing the employee information database will be shut down and transported to a new location. Which of the following would BEST ensure the availability of the employee database should happen to the server during the move?
A. The contents of the database should be encrypted; the encryption key should be stored off-site
B. The database should be placed on a drive that consists of a RAID array prior to the move
C. A backup of the database should be stored on an external hard drive prior to the move
D. A hash of the database should be taken and stored on an external drive prior to the move
Answer: C