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NEW QUESTION: 1
From which five places can you access a file on the LearnCenter Resource Manager?
A. Header Editor
B. Page Editor
C. Certificate Editor
D. Learning Object Manager
E. Course Editor
F. Resource Manager
Answer: A,B,D,E,F

NEW QUESTION: 2
You need to recommend a solution for storing customer data. What should you recommend?
A. Azure SQL Data Warehouse
B. Azure SQL Database
C. Azure Databricks
D. Azure Stream Analytics
Answer: C
Explanation:
Explanation
From the scenario:
Customer data must be analyzed using managed Spark clusters.
All cloud data must be encrypted at rest and in transit. The solution must support: parallel processing of customer data.
References:
https://www.microsoft.com/developerblog/2019/01/18/running-parallel-apache-spark-notebook-workloads-on-az
Topic 1, Case study 1The company identifies the following business
requirements:
* External vendors must be able to perform custom analysis of data using machine learning technologies.
* You must display a dashboard on the operations status page that displays the following metrics: telemetry, volume, and processing latency.
* Traffic data must be made available to the Government Planning Department for the purpose of modeling changes to the highway system. The traffic data will be used in conjunction with other data such as information about events such as sporting events, weather conditions, and population statistics. External data used during the modeling is stored in on-premises SQL Server 2016 databases and CSV files stored in an Azure Data Lake Storage Gen2 storage account.
* Information about vehicles that have been detected as going over the speed limit during the last 30 minutes must be available to law enforcement officers. Several law enforcement organizations may respond to speeding vehicles.
* The solution must allow for searches of vehicle images by license plate to support law enforcement investigations. Searches must be able to be performed using a query language and must support fuzzy searches to compensate for license plate detection errors.
Telemetry Capture
The telemetry capture system records each time a vehicle passes in front of a sensor. The sensors run on a custom embedded operating system and record the following telemetry data:
* Time
* Location in latitude and longitude
* Speed in kilometers per hour (kmph)
* Length of vehicle in meters
Visual Monitoring
The visual monitoring system is a network of approximately 1,000 cameras placed near highways that capture images of vehicle traffic every 2 seconds. The cameras record high resolution images. Each image is approximately 3 MB in size.
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the button to return to the question.
Requirements
Business
The company identifies the following business requirements:
* You must transfer all images and customer data to cloud storage and remove on-premises servers.
* You must develop an analytical processing solution for transforming customer data.
* You must develop an image object and color tagging solution.
* Capital expenditures must be minimized.
* Cloud resource costs must be minimized.
Technical
The solution has the following technical requirements:
* Tagging data must be uploaded to the cloud from the New York office location.
* Tagging data must be replicated to regions that are geographically close to company office locations.
* Image data must be stored in a single data store at minimum cost.
* Customer data must be analyzed using managed Spark clusters.
* Power BI must be used to visualize transformed customer data.
* All data must be backed up in case disaster recovery is required.
Security and optimization
All cloud data must be encrypted at rest and in transit. The solution must support:
* parallel processing of customer data
* hyper-scale storage of images
* global region data replication of processed image data

NEW QUESTION: 3
How should the resource pools be designed to host the server workloads and virtual desktops by ensuring availability?
A. Separating the workloads by roles and grouping them as a XenServer resource pool isrecommended if nested resource pools are required, for example if infrastructure server workloads needs to be moved for disaster recovery purposes or better performance. Each XenServer resource pool should consist of a maximum of 48 XenServer hosts. Multiple storage repositories need to be implemented for central storage of virtual disks as well as for XenMotion and high availability between resource pools and backup for disaster recovery purposes.
B. Separating the workloads by roles and grouping them as aXenServer resource pool ensures that the workloads can be streamed by Provisioning Services, including XenServer, which simplifies setup and rebuild processes. Furthermore, it can be leveraged as a failover and disaster recovery concept. Each XenServer resource pool should consist of a maximum of 48 XenServer hosts. Multiple storage repositories need to be implemented for central storage of virtual disks as well as for XenMotion, high availability between resource pools and backup for disaster recovery purposes.
C. Separating the workloads by roles and grouping them as a XenServer resource pool is recommended to reflect the organizational unit structure of Active Directory for easier management and support of disaster recovery capabilities. Each XenServer resource pool should consist of a maximum of 32 XenServer hosts. A storage repository needs to be implemented for central storage of virtual disks as well as for XenMotion and high availability, and backup for disaster recovery purposes.
D. Separating the workloads by roles and grouping them as a XenServer resource pool is recommended to ensure easier management, less workload conflicts, and support for disaster recovery capabilities. Each XenServer resource pools should consist of a maximum of 16XenServer hosts. A storage repository needs to be implemented for central storage of virtual disks as well as for XenMotion, high availability and backup for disaster recovery purposes.
Answer: A