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NEW QUESTION: 1
You are designing a model-driven app that allows a company to manage sales opportunities.
The company has a complex security model that includes the following requirements:
The vice president of sales must be able to see opportunities for sales managers and sales representatives.
Sales managers must be able to see opportunities for all sales representatives.
Sales representatives must only see opportunities that they own.
You need to recommend security tools for controlling user access.
Which two tools should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Field security profile
B. Position hierarchy
C. Security roles
D. Account hierarchy
Answer: B,C
Explanation:
With the position hierarchy security, a user at a higher position has access to the records owned by a lower position user or by the team that a user is a member of, and to the records that are directly shared to the user or the team that a user is a member of.
The hierarchy security model is an extension to the earlier security models that use business units, security roles, sharing, and teams. It can be used in conjunction with all other existing security models.
Reference:
https://docs.microsoft.com/en-us/dynamics365/customerengagement/on-premises/developer/security-dev/ hierarchical-security-control-access-entities

NEW QUESTION: 2
A marketing manager working on an extended site supporting one country has been promoted to a global role supporting 10 different extended sites. What is the proper way to achieve this requirement?
A. Since access control is defined by the user's parent organization, the administrator must create a new user
B. The administrator must create multiple users, one per store
C. The administrator must assign the site administrator role to the user
D. The administrator must add the marketing manager role to the user's account for each organization that owns the site
Answer: D

NEW QUESTION: 3
Race CentralのCosmos DBからSQL Databaseに実行されるData Factoryパイプラインを監視しています。
ジョブの実行に45分かかることがわかりました。
ジョブのパフォーマンスを改善するにはどうすればよいですか?
A. データ統合ユニットを増やします。
B. コピーアクティビティを構成して圧縮を実行します。
C. ステージングコピーを使用するようにコピーアクティビティを構成します。
D. コピーアクティビティの並列処理を減らします。
Answer: A
Explanation:
Explanation
Performance tuning tips and optimization features. In some cases, when you run a copy activity in Azure Data Factory, you see a "Performance tuning tips" message on top of the copy activity monitoring, as shown in the following example. The message tells you the bottleneck that was identified for the given copy run. It also guides you on what to change to boost copy throughput. The performance tuning tips currently provide suggestions like:
Use PolyBase when you copy data into Azure SQL Data Warehouse.
Increase Azure Cosmos DB Request Units or Azure SQL Database DTUs (Database Throughput Units) when the resource on the data store side is the bottleneck.
Remove the unnecessary staged copy.
References:
https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-performance
Topic 4, ADatum Corporation
Case study
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.