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NEW QUESTION: 1
You need to ensure that Azure Data Factory pipelines can be deployed. How should you configure authentication and authorization for deployments? To answer, select the appropriate options in the answer choices.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

The way you control access to resources using RBAC is to create role assignments. This is a key concept to understand - it's how permissions are enforced. A role assignment consists of three elements: security principal, role definition, and scope.
Scenario:
No credentials or secrets should be used during deployments
Phone-based poll data must only be uploaded by authorized users from authorized devices Contractors must not have access to any polling data other than their own Access to polling data must set on a per-active directory user basis References:
https://docs.microsoft.com/en-us/azure/role-based-access-control/overview
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: 2
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have a database that contains the following tables: BlogCategory, BlogEntry, ProductReview, Product, and SalesPerson. The tables were created using the following Transact SQL statements:

You must modify the ProductReview Table to meet the following requirements:
* The table must reference the ProductID column in the Product table
* Existing records in the ProductReview table must not be validated with the Product table.
* Deleting records in the Product table must not be allowed if records are referenced by the ProductReview table.
* Changes to records in the Product table must propagate to the ProductReview table.
You also have the following database tables: Order, ProductTypes, and SalesHistory, The transact-SQL statements for these tables are not available.
You must modify the Orders table to meet the following requirements:
* Create new rows in the table without granting INSERT permissions to the table.
* Notify the sales person who places an order whether or not the order was completed.
You must add the following constraints to the SalesHistory table:
* a constraint on the SaleID column that allows the field to be used as a record identifier
* a constant that uses the ProductID column to reference the Product column of the ProductTypes table
* a constraint on the CategoryID column that allows one row with a null value in the column
* a constraint that limits the SalePrice column to values greater than four Finance department users must be able to retrieve data from the SalesHistory table for sales persons where the value of the SalesYTD column is above a certain threshold.
You plan to create a memory-optimized table named SalesOrder. The table must meet the following requirements:
* The table must hold 10 million unique sales orders.
* The table must use checkpoints to minimize I/O operations and must not use transaction logging.
* Data loss is acceptable.
Performance for queries against the SalesOrder table that use Where clauses with exact equality operations must be optimized.
You need to create an object that allows finance users to be able to retrieve the required data. The object must not have a negative performance impact.
How should you complete the Transact-SQL statements? To answer, select the appropriate Transact-SQL segments in the answer area.

Answer:
Explanation:

Explanation

A user defined function can return a table, which can be produces by a SELECT statement.
From question: Finance department users must be able to retrieve data from the SalesHistory table for sales persons where the value of the SalesYTD column is above a certain threshold.
Incorrect:
Not VIEW: The RETURN clause is not used when you create a view.
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-function-transact-sql?view=sql-server-2017

NEW QUESTION: 3
A company has a web server behind a Palo Alto Networks next-generation firewall that it wants to make accessible to
the public at 1.1.1.1. The company has decided to configure a destination NAT Policy rule.
Given the following zone information:
* DMZ zone: DMZ-L3
* Public zone: Untrust-L3
* Guest zone: Guest-L3
* Web server zone: Trust-L3
* Public IP address (Untrust-L3): 1.1.1.1
* Private IP address (Trust-L3): 192.168.1.50
What should be configured as the destination zone on the Original Packet tab of NAT Policy rule?
A. Trust-L3
B. Guest-L3
C. DMZ-L3
D. Untrust-L3
Answer: D