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NEW QUESTION: 1
You deploy an application that performs sentiment analysis on the data stored in Azure Cosmos DB.
Recently, you loaded a large amount of data to the database. The data was for a customer named Contoso. Ltd.
You discover that queries for the Contoso data are slow to complete, and the queries slow the entire application.
You need to reduce the amount of time it takes for the queries to complete. The solution must minimize costs.
What is the best way to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
A. Change the requests units.
B. Change the partitioning strategy.
C. Change the transaction isolation level.
D. Migrate the data to the Cosmos DB database.
Answer: A,C
Explanation:
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.
NEW QUESTION: 2
Which field is specific to the OPSFv3 packet header, as opposed to the OSPFv2 packet header?
A. instance ID
B. router ID
C. AuType
D. checksum
Answer: A
Explanation:
In OSPFv3, Instance ID is a new field that is used to have multiple OSPF process' instance per link. By default it is 0 and for any additional instance it is increased, instance ID has local link significance only. OSPFv3 routers will only become neighbors if the instanceIDs match. It is thus possible to have multiple routers on a broadcast domain and all run Ospfv3 but not all of them becoming neighbors.
Reference. https://supportforums.cisco.com/document/97766/comparing-ospfv3-ospfv2-routingprotocol
NEW QUESTION: 3
You have a server named Server1 that runs Windows Server 2016.
On Server1 you use the Basic template to create a new Data Collector Set named CollectorSet1.
You need to configure data collection for the performance counters. The configuration must support the following requirements:
* Data collection must run on a schedule.
* Data collection must stop if there is less than 1 GB of free disk space.
What should you modify to meet each requirement? To answer, drag the appropriate settings to the correct requirements. Each setting may be used once, more than once, or nor at all. You may need to drag the Split bar between panes or scroll to view content.
Answer:
Explanation:
Explanation