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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
Data were collected on the percentage of intervals at the end of which Thomas was present at his workstation.
Which is the BEST method for displaying these data?
A. standard behavior (semilogarithmic) chart
B. equal-interval line graph
C. cumulative record
D. scatterplot
Answer: B

NEW QUESTION: 3
한 회사가 최근 청구서에서 Amazon EC2 비용이 증가하는 것을 목격했습니다.
청구 팀은 두 개의 EC2 인스턴스에 대해 원치 않는 인스턴스 유형의 수직 확장을 발견했습니다.
솔루션 아키텍트는 지난 2 개월 동안의 EC2 비용을 비교하는 그래프를 생성하고 심층 분석을 수행하여 수직적 확장의 근본 원인을 식별해야 합니다.
솔루션 설계자는 최소한의 운영 오버 헤드로 정보를 어떻게 생성해야 합니까?
A. Cost Explorer의 세분화 된 필터링 기능을 사용하여 인스턴스 유형에 따라 EC2 비용에 대한 심층 분석을 수행합니다.
B. AWS 비용 및 사용 보고서를 사용하여 보고서를 생성하고 Amazon S3 버킷으로 보냅니다.
Amazon QuickSight Amazon S3를 소스로 사용하여 인스턴스 유형을 기반으로 대화 형 그래프를 생성합니다.
C. AWS 예산을 사용하여 예산 보고서를 생성하고 인스턴스 유형에 따라 비용을 비교합니다.
D. AWS Billing and Cost Management 대시 보드의 그래프를 사용하여 최소 2 개월 동안 인스턴스 유형에 따라 EC2 비용을 비교합니다.
Answer: D

NEW QUESTION: 4
What testing technique enables the designer to develop mitigation strategies for potential vulnerabilities?
A. Source code review
B. Penetration testing
C. Manual inspections and reviews
D. Threat modeling
Answer: D
Explanation:
https://owasp.org/www-project-web-security-testing-
guide/assets/archive/OWASP_Testing_Guide_v4.pdf (15)