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NEW QUESTION: 1
You are designing a data warehouse for a fresh food distribution business that stores sales by individual product. It stores sales targets by product category. Products are classified into subcategories and categories.
Each product is included in only a single product subcategory, and each subcategory is included in only a single category.
The data warehouse will be a data source for an Analysis Services cube.
The data warehouse contains two fact tables:
factSales, used to record daily sales by product
factProductTarget, used to record the monthly sales targets by product category
Reports must be developed against the warehouse that reports product sales by product, category and subcategory, and product sales targets.
You need to design the product dimension. The solution should use as few tables as possible while supporting all the requirements.
What should you do?
A. Create one product table, dimProduct, which contains product detail, category, and subcategory columns. Connect factSales to dimProduct with a foreign key constraint. Direct the cube developer to use a non-key granularity attribute for factProductTarget.
B. Create three product tables, dimProduct, dimProductCategory, and dimProductSubcategory. Connect factSales to all three product tables and connect factProductTarget to dimProductCategory with foreign key constraints. Direct the cube developer to use key granularity attributes.
C. Create two product tables, dimProduct and dimProductCategory. Connect factSales to dimProduct and factProductTarget to dimProductCategory with foreign key constraints. Direct the cube developer to use key granularity attributes.
D. Create three product tables, dimProduct, dimProductCategory, and dimProductSubcategory, and a fourth bridge table that joins products to their appropriate category and subcategory table records with foreign key constraints. Direct the cube developer to use key granularity attributes.
Answer: A

NEW QUESTION: 2
구매 요구 사항을 구현해야 합니다.
당신은 무엇을 해야 합니까?
A. Bot FrameworkREST API 첨부 작업을 사용하여 사용자의 음성을 보내고 Speech Service API는 인 텐트를 인식합니다.
B. Bot Framework REST API 대화 작업을 사용하여 사용자의 음성을 보내고 Speech Service API는 인 텐트를 인식합니다.
C. 직접 REST API를 사용하여 사용자의 음성을 보내고 Speech Service API를 사용하여 인 텐트를 인식합니다.
D. Speech Service API를 사용하여 사용자의 음성과 Bot Framework REST API 대화 작업을 보내어 인 텐트를 인식합니다.
Answer: B
Explanation:
Explanation
Scenario: Enable users to place an order for delivery or pickup by using their voice.
You must develop a chatbot by using the Bot Builder SDK and Language Understanding Intelligence Service (LUIS). The chatbot must allow users to order food for pickup or delivery.
The Bot Framework REST APIs enable you to build bots that exchange messages with channels configured in the Bot Framework Portal, store and retrieve state data, and connect your own client applications to your bots.
All Bot Framework services use industry-standard REST and JSON over HTTPS.
The Speech Service API is used to recognize intents.
References:
https://docs.microsoft.com/en-us/azure/bot-service/rest-api/bot-framework-rest-connector-concepts?view=azure-
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-recognize-intents-from-speech-

NEW QUESTION: 3
A customer has implemented their Oracle database over iSCSI but has found that iSCSI can no
longer provide the necessary throughput.
Which method should be used to present the database over FCP?
A. remap the LUNs to FCP
B. migrate theiSCSI LUN to an FCP LUN
C. useSnapRestore to restore the database to a new FCP LUN
D. useSnapVault to restore the database to a new FCP LUN
Answer: A