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NEW QUESTION: 1
You want your expense auditors to audit only expenses reports for specific business units. How do you do this?
A. Create your own audit extension rules that correspond to the business unit.
B. Create a custom duty role and assign the data roles to each auditor.
C. Assign the auditors' specific data roles for the corresponding business units.
D. Make auditors the managers of the corresponding business unit to route expense reports properly.
Answer: C
Explanation:
Explanation/Reference:
You can enable expense auditors to audit expense reports for specific business units by assigning them specific expense auditor data roles for the business units. For example, to allow an expense auditor to audit expense reports for the Vision Operations and Vision Services business units, assign the Expense Auditor Vision Operations and Expense Auditor Vision Services data roles, respectively, to the expense auditor.
References: https://docs.oracle.com/cloud/farel8/financialscs_gs/FAWDE/F1005004AN1204B.htm
NEW QUESTION: 2
You need to ensure phone-based polling data upload reliability requirements are met. How should you configure monitoring? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: FileCapacity
FileCapacity is the amount of storage used by the storage account's File service in bytes.
Box 2: Avg
The aggregation type of the FileCapacity metric is Avg.
Scenario:
All services and processes must be resilient to a regional Azure outage.
All Azure services must be monitored by using Azure Monitor. On-premises SQL Server performance must be monitored.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/metrics-supported
Topic 3, Litware, inc
Overview
General Overview
Litware, Inc, is an international car racing and manufacturing company that has 1,000 employees. Most employees are located in Europe. The company supports racing teams that complete in a worldwide racing series.
Physical Locations
Litware has two main locations: a main office in London, England, and a manufacturing plant in Berlin, Germany.
During each race weekend, 100 engineers set up a remote portable office by using a VPN to connect the datacentre in the London office. The portable office is set up and torn down in approximately 20 different countries each year.
Existing environment
Race Central
During race weekends, Litware uses a primary application named Race Central. Each car has several sensors that send real-time telemetry data to the London datacentre. The data is used for real-time tracking of the cars.
Race Central also sends batch updates to an application named Mechanical Workflow by using Microsoft SQL Server Integration Services (SSIS).
The telemetry data is sent to a MongoDB database. A custom application then moves the data to databases in SQL Server 2017. The telemetry data in MongoDB has more than 500 attributes. The application changes the attribute names when the data is moved to SQL Server 2017.
The database structure contains both OLAP and OLTP databases.
Mechanical Workflow
Mechanical Workflow is used to track changes and improvements made to the cars during their lifetime.
Currently, Mechanical Workflow runs on SQL Server 2017 as an OLAP system.
Mechanical Workflow has a named Table1 that is 1 TB. Large aggregations are performed on a single column of Table 1.
Requirements
Planned Changes
Litware is the process of rearchitecting its data estate to be hosted in Azure. The company plans to decommission the London datacentre and move all its applications to an Azure datacentre.
Technical Requirements
Litware identifies the following technical requirements:
* Data collection for Race Central must be moved to Azure Cosmos DB and Azure SQL Database. The data must be written to the Azure datacentre closest to each race and must converge in the least amount of time.
* The query performance of Race Central must be stable, and the administrative time it takes to perform optimizations must be minimized.
* The datacentre for Mechanical Workflow must be moved to Azure SQL data Warehouse.
* Transparent data encryption (IDE) must be enabled on all data stores, whenever possible.
* An Azure Data Factory pipeline must be used to move data from Cosmos DB to SQL Database for Race Central. If the data load takes longer than 20 minutes, configuration changes must be made to Data Factory.
* The telemetry data must migrate toward a solution that is native to Azure.
* The telemetry data must be monitored for performance issues. You must adjust the Cosmos DB Request Units per second (RU/s) to maintain a performance SLA while minimizing the cost of the Ru/s.
Data Masking Requirements
During rare weekends, visitors will be able to enter the remote portable offices. Litware is concerned that some proprietary information might be exposed. The company identifies the following data masking requirements for the Race Central data that will be stored in SQL Database:
* Only show the last four digits of the values in a column named SuspensionSprings.
* Only Show a zero value for the values in a column named ShockOilWeight.
NEW QUESTION: 3
A major bank has a requirement to have 2 remote synchronous mirrors for a production database and would like to use SRDF/S between the 3 Symmetrix arrays. What is a configuration requirement?
A. A BCV will need to be established with the R2 at the secondary site
B. Each of the two concurrent mirrors must belong to different RDF groups
C. It is not possible to have two concurrent mirrors using SRDF/S
D. Each of the two concurrent mirrors must belong to the same RDF group
Answer: B
NEW QUESTION: 4
Each iFlow contains which of the following?
There are 2 correct answers to this question. Choose:
A. Functional routings
B. Technical routings
C. Fiori routings
D. Logical routings
Answer: B,D