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NEW QUESTION: 1
A. Option C
B. Option D
C. Option A
D. Option B
Answer: D
NEW QUESTION: 2
You are developing a Microsoft SQL Analysis Services (SSAS) multidimensional project
A fact table named FactHouseSales has a measure column named Area. All values in the column are stored in square feet. Users must be able to analyze the area in different units.
You create a table named AreaUnit. Each row in the table consists of the unit name and a square feet conversion factor value.
You need to implement the area conversion in the project.
What should you do?
A. Create several dimensions. Add each dimension to the cube.
B. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
C. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
D. Use the Business Intelligence Wizard to define dimension intelligence.
E. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
F. Add a measure group that has one measure that uses the DistinctCount aggregate function.
G. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
H. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
I. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.
J. Create a dimension. Then add a cube dimension and link it several times to the measure group.
K. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
L. Use role playing dimensions.
M. Add a measure that uses the Count aggregate function to an existing measure group.
N. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
O. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.
Answer: I
NEW QUESTION: 3
ストリーミングデータを分析するAPIパイプラインを構築する必要があります。パイプラインは次を実行します。
*視覚的なテキスト認識
*音声転写
* 感情分析
* 顔検出
どのAzure Cognitive Servicesをパイプラインで使用する必要がありますか？
A. Face API
B. カスタム音声サービス
C. ビデオインデクサー
D. テキスト分析
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.
NEW QUESTION: 4
An organization must accelerate a product to market. The program manager completes the preliminary program steps and holds a kick-off meeting. Project managers submit their preliminary schedules for review.
What should the program manager do next?
A. Assign resources to the schedule and report the revised delivery date to the project managers.
B. Integrate the project schedules into the program schedule and report the revised delivery date to the project managers.
C. Revise the project schedules to meet the program schedule and communicate to stakeholders.
D. Work with the project managers to refine the project schedules and deliverables to align with the program milestones.
Answer: D
