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NEW QUESTION: 1
Case Study
Trey Research is a global marketing research organization that has a main office in Moscow and branch offices in Los Angeles, London, Berlin, Copenhagen, and Jakarta.
The number of users per office is shown below:

Existing systems and telephones
The company has existing IP-PBX systems that are reaching end of life. They use an automatic call distribution (ACD) system for their help desk. This system provides interactive voice response options to users so that they can choose the location for support. This system is also reaching end of life.
The Copenhagen office uses a call group pickup solution that runs on an existing IP-PBX system. All users with the exception of users in Copenhagen have Direct Inward Dialing (DID) numbers.
Trey Research has Skype for Business Enterprise pools in the Moscow, London, and Berlin offices, respectively. They run a Unified Communications Managed API (UCMA) based application in a trusted application pool.
All users in Trey Research are using Aries phones. Users authenticate by using PIN codes.
Quarterly global town hall meetings
Executive conduct global town hall meetings each quarter. Each meeting occurs in a different office.
Employees attend the global town hall meetings in meeting rooms which are equipped with full high definition (HD) screens for video. Ten percent of the employees attend the audio portion of the global town hall meetings from their desk.

Trey Research plans to implement Skype for Business Enterprise Voice across the company to replace the existing IP-PBX systems.
You must use the following typical bandwidth values to determine the bandwidth requirements in kilobits per second (Kbps) for the solution:
Video resolution bandwidth:

Audio codec bandwidth:

You have the following requirements:
General
You must reduce international long distance calling costs, and lower support and administration costs

for the IP-PBX and ACD solutions.
You must implement voice survivability for all the sites in case of a wide area network (WAN) link

failure.
Where possible, you must optimize media paths.

The solution must be resilient to the failure of mediation server pools.

The maximum concurrent peer-to-peer connections between Moscow and Berlin will be 196.

Response groups must be managed by dedicated response group administrators.

Gateways
Existing gateways do not support the REFER method. You must use the existing gateways with Skype

for Business to provide PSTN connectivity.
In the event of a failure of both gateways at any office, all international calls from that office must route

through the Moscow gateways.
Outbound calls
All calls placed to Russia from any office must route through the Moscow gateways.

Germany experiences high public switched telephone network (PSTN) call volume. All calls for

Germany must breakout from Berlin in the event of Mediation Server pool failure in Berlin.
All PSTN calls to Germany must use Berlin gateways in the event of Mediation Server pool failure in

Berlin.
You need to configure the trunks defined in the Skype for Business topology based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
A. Enable media bypass.
B. Set Encryption Support Level to required.
C. Enable centralized media processing.
D. Disable REFER support.
Answer: A,D
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 2
When you right-click a SQL procedure in the Data Source Explorer of IBM Data Studio and select Drop from the options menu, what happens?
A. The SQL procedure is dropped from the database and removed from the data development project.
B. The SQL procedure is dropped from the database.
C. The SQL procedure is removed from the data development project.
D. The SQL procedure is temporarily hidden in the Data Source Explorer view.
Answer: B

NEW QUESTION: 3
Microsoft 365 E5サブスクリプションと5,000人のユーザーがいます。
アクティビティがルールに一致するたびにトリガーされる複数のアラートポリシーを作成します。
一致するアクティビティの量が異常になったときにトリガーされるアラートポリシーを作成する必要があります。
最初に何をすべきですか?
A. Enable Microsoft Office 365 analytics.
B. Enable Microsoft Office 365 auditing.
C. Deploy a Microsoft Office 365 add-in to all the users.
D. Enable Microsoft Office 365 Cloud App Security.
Answer: A

NEW QUESTION: 4
You need to design the data loading pipeline for Planning Assistance.
What should you recommend? To answer, drag the appropriate technologies to the correct locations. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: SqlSink Table
Sensor data must be stored in a Cosmos DB named treydata in a collection named SensorData Box 2: Cosmos Bulk Loading Use Copy Activity in Azure Data Factory to copy data from and to Azure Cosmos DB (SQL API).
Scenario: Data from the Sensor Data collection will automatically be loaded into the Planning Assistance database once a week by using Azure Data Factory. You must be able to manually trigger the data load process.
Data used for Planning Assistance must be stored in a sharded Azure SQL Database.
References:
https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-cosmos-db
Topic 2, 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.
Overview
You develop data engineering solutions for Graphics Design Institute, a global media company with offices in New York City, Manchester, Singapore, and Melbourne.
The New York office hosts SQL Server databases that stores massive amounts of customer data. The company also stores millions of images on a physical server located in the New York office. More than 2 TB of image data is added each day. The images are transferred from customer devices to the server in New York.
Many images have been placed on this server in an unorganized manner, making it difficult for editors to search images. Images should automatically have object and color tags generated. The tags must be stored in a document database, and be queried by SQL You are hired to design a solution that can store, transform, and visualize customer data.
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