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NEW QUESTION: 1
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION: 2
Azure Data Factoryパイプラインを展開できることを確認する必要があります。展開の認証と承認をどのように構成する必要がありますか？回答するには、回答の選択肢で適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

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: 3
Click to expand each objective. To connect to the Azure portal, type https://portal.azure.com in the browser address bar.






When you are finished performing all the tasks, click the 'Next' button.
Note that you cannot return to the lab once you click the 'Next' button. Scoring occur in the background while you complete the rest of the exam.
Overview
The following section of the exam is a lab. In this section, you will perform a set of tasks in a live environment. While most functionality will be available to you as it would be in a live environment, some functionality (e.g., copy and paste, ability to navigate to external websites) will not be possible by design.
Scoring is based on the outcome of performing the tasks stated in the lab. In other words, it doesn't matter how you accomplish the task, if you successfully perform it, you will earn credit for that task.
Labs are not timed separately, and this exam may have more than one lab that you must complete. You can use as much time as you would like to complete each lab. But, you should manage your time appropriately to ensure that you are able to complete the lab(s) and all other sections of the exam in the time provided.
Please note that once you submit your work by clicking the Next button within a lab, you will NOT be able to return to the lab.
To start the lab
You may start the lab by clicking the Next button.
You need to deploy two Azure virtual machines named VM1003a and VM1003b based on an Ubuntu Server image. The deployment must meet the following requirements:
- Provide a Service Level Agreement (SLA) of 99.95 percent availability
- Use managed disks
What should you do from the Azure portal?
Answer:
Explanation:
See solution below.
Explanation
Step 1: Open the Azure portal.
Step 2: On the left menu, select All resources. You can sort the resources by Type to easily find your images.
Step 3: Select the image you want to use from the list. The image page opens.
Step 4: Select Create VM from the menu.
Step 5: Enter the virtual machine information. Select VM1003a as the name for the first Virtual machine.The user name and password entered here will be used to log in to the virtual machine. When complete, select OK.
You can create the new VM in an existing resource group, or choose Create new to create a new resource group to store the VM.
Step 6: Select a size for the VM. To see more sizes, select View all or change the Supported disk type filter.
Step 7: Under Settings, make changes as necessary and select OK.
Step 8: On the summary page, you should see your image name listed as a Private image. Select Ok to start the virtual machine deployment.
Repeat the procedure for the second VM and name it VM1003b.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/create-vm-generalized-managed

NEW QUESTION: 4
What is one of the trends in how customers are using public cloud services?
A. A majority of customers have moved some cloud services back on-prem in the last year.
B. A majority of customers have fewer concerns about how public clouds handle data sovereignty than they did two years ago.
C. In the next two years, customers plan to move about 75 percent of workloads to public clouds.
D. Most customers have consolidated their public cloud services onto a single public cloud.
Answer: A

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