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NEW QUESTION: 1
You have a computer named Computer1 that runs Windows 10.
Computer1 has the users shown in the following table.

User1 signs in to Computer1, creates the following files, and then signs out:
* docx in C:\Users\User1\Desktop
* docx in C:\Users\Public\Public Desktop
* docx in C:\Users\Default\ Desktop
User3 signs in to Computer1 and creates a file named File4.docx in C:\Users\User3\Desktop.
User2 has never signed in to Computer1.
How many DOCX files will appear on the desktop of each user the nest time each user signs in? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Topic 1, Litware inc
Litware inc
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 questions in 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 section 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 in 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. When you are ready to answer a question, click the Question button to return to the question.
Existing Environment
Current Business Model
The Los Angeles office has 500 developers. The developers work flexible hours ranging from 11:00 to 22:00. Litware has a Microsoft System Center 2012 R2 Configuration Manager deployment. During discovery, the company discovers a process where users are emailing bank account information of its customers to internal and external recipients.
Current Environment
The network contains an Active Directory domain that is synced to Microsoft Azure Active Directory (Azure AD). The functional level of the forest and the domain is Windows Server 2012 R2. All domain controllers run Windows Server 2012 R2.
Litware has the computers shown in the following table.

The development department uses projects in Azure DevOps to build applications.
Most of the employees in the sales department are contractors. Each contractor is assigned a computer that runs Windows 10. At the end of each contract, the computer is assigned to different contractor. Currently, the computers are re-provisioned manually by the IT department.
Problem Statements
Litware identifies the following issues on the network:
* Employees in the Los Angeles office report slow Internet performance when updates are downloading. The employees also report that the updates frequently consume considerable resources when they are installed. The Update settings are configured as shown in the Updates exhibit. (Click the Updates button.)
* Management suspects that the source code for the proprietary applications in Azure DevOps in being shared externally.
* Re-provisioning the sales department computers is too time consuming.
Requirements
Business Goals
Litware plans to transition to co-management for all the company-owned Windows 10 computers. Whenever possible, Litware wants to minimize hardware and software costs.
Device Management Requirements
Litware identifies the following device management requirements:
* Prevent the sales department employees from forwarding email that contains bank account information.
* Ensure that Microsoft Edge Favorites are accessible from all computers to which the developers sign in.
* Prevent employees in the research department from copying patented information from trusted applications to untrusted applications.
Technical Requirements
Litware identifies the following technical requirements for the planned deployment:
* Re-provision the sales department computers by using Windows AutoPilot.
* Ensure that the projects in Azure DevOps can be accessed from the corporate network only.
* Ensure that users can sign in to the Azure AD-joined computers by using a PIN. The PIN must expire every 30 days.
* Ensure that the company name and logo appears during the Out of Box Experience (OOBE) when using Windows AutoPilot.
Exhibits

NEW QUESTION: 2


























What is the maximum number of recipients per hour that the Cisco Email Security Appliance will accept from
the green.public domain?
A. 0
B. 1
C. 2
D. 3
E. 4
F. 5
G. Unlimited
Answer: A
Explanation:
Explanation
From the instructions we know that the green.public domain has been assigned a reputation score of 2. From
below we know that a reputation score of 2 belongs to the SUSPECTLIST, which has a policy of
"THROTTLED":
Capture

By clicking on the THROTTLED policy we see that the max recipients per hour has been set to 20:
Capture

NEW QUESTION: 3
You need to build an API pipeline that analyzes streaming data. The pipeline will perform the following:
* Visual text recognition
* Audio transcription
* Sentiment analysis
* Face detection
Which Azure Cognitive Services should you use in the pipeline?
A. Text Analytics
B. Custom Speech Service
C. Video Indexer
D. Face API
Answer: C
Explanation:
Explanation
Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models described below:
Visual text recognition (OCR): Extracts text that is visually displayed in the video.
Audio transcription: Converts speech to text in 12 languages and allows extensions.
Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text.
Face detection: Detects and groups faces appearing in the video.
References:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview
Topic 1, Contoso Case Study: 1
Overview
Contoso. Ltd. has an office in New York to serve its North American customers and an office in Paris to serve its European customers.
Existing Environment
Contoso. Ltd. has an office in New York to serve its North American customers and an office in Paris to serve its European customers.
Infrastructure
Each office has a small data center that hosts Active Directory services and a few off-the-shelf software solutions used by internal users.
The network contains a single Active Directory forest that contains a single domain named contoso.com.
Azure Active Directory (Azure AD) Connect is used to extend identity management to Azure.
The company has an Azure subscription. Each office has an Azure ExpressRoute connection to the subscription. The New York office connects to a virtual network hosted in the US East 2 Azure region. The Paris office connects to a virtual network hosted in the West Europe Azure region.
The New York office has an Azure Stack Development Kit (ASDK) deployment that is used for development and testing.
Current Business Model
Contoso has a web app named Bookings hosted in an App Service Environment (ASE). The ASE is in the virtual network in the East US 2 region. Contoso employees and customers use Bookings to reserve hotel rooms.
Data Environment
Bookings connects to a Microsoft SQL Server database named hotelDB in the New York office.
The database has a view named vwAvailability that consolidates columns from three tables named Hotels, Rooms, and RoomAvailability. The database contains data that was collected during the last 20 years.
Problem Statements
Contoso identifies the following issues with its current business model:
* European users report that access to Bookings is slow, and they lose customers who must wait on the phone while they search for available rooms.
* Users report that Bookings was unavailable during an outage in the New York data center for more than 24 hours.
Requirements
Contoso identifies the following issues with its current business model:
*European users report that access to Bookings is slow, and they lose customers who must wait on the phone while they search for available rooms.
Business Goals
*Users report that Bookings was unavailable during an outage in the New York data center for more than 24 hours.
Contoso wants to provide a new version of the Bookings app that will provide a highly available, reliable service for booking travel packages by interacting with a chatbot named Butler.
Contoso plans to move all production workloads to the cloud.
Technical Requirements
Contoso identifies the following technical requirements:
*Data scientists must test Butler by using ASDK.
*Whenever possible, solutions must minimize costs.
*Butler must greet users by name when they first connect.
*Butler must be able to handle up to 10.000 messages a day.
*Butler must recognize the users' intent based on basic utterances.
*All configurations to the Azure Bot Service must be logged centrally.
*Whenever possible, solutions must use the principle of least privilege.
*Internal users must be able to access Butler by using Microsoft Skype for Business.
*The new Bookings app must provide a user interface where users can interact with Butler.
*Users in an Azure AD group named KeyManagers must be able to manage keys for all Azure Cognitive Services.
*Butler must provide users with the ability to reserve a room, cancel a reservation, and view existing reservations.
*The new Bookings app must be available to users in North America and Europe if a single data center or Azure region fails.
*For continuous improvement, you must be able to test Butler by sending sample utterances and comparing the chatbot's responses to the actua intent.