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NEW QUESTION: 1
You design a Business Intelligence (BI) solution by using SQL Server 2008. A data warehouse named CustomerDW contains a Fact table named FactCustomer. The FactCustomer table contains two columns named CustomerKey and CustomerSales. You create a data mining model named CustomerModel by using SQL Server 2008 Analysis Services (SSAS). A report that is developed by using SQL Server 2008 Reporting Services (SSRS) lists the top 50 customers based on the sales amount. The report extracts data from a SQL Server relational database. You add a column named UpSell to the report. You need to ensure that the UpSell column displays the probability values of the expensive products that customers are likely to purchase.
Which Data Mining Extensions (DMX) query should you use?
A. SELECT PredictProbability(t.[UpSell]) as [UpSell], [CustomerKey], m.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT [CustomerKey], [CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]
B. SELECT Probability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT [CustomerKey], [CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]
C. SELECT PredictProbability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT TOP 50 [CustomerKey], [CustomerSales] FROM FactCustomer ORDER BY [CustomerSales] ') AS t
D. SELECT PredictProbability(m.[UpSell]) as [UpSell], [CustomerKey], t.[CustomerSales] From [CustomerModel] m PREDICTION JOIN OPENQUERY([CustomerDW], 'SELECT TOP 50 [CustomerKey],[CustomerSales] From FactCustomer ORDER BY [CustomerSales] ') AS t ON m.[CustomerKey] = t.[CustomerKey]
Answer: D

NEW QUESTION: 2
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You plan to use Azure platform tools to detect and analyze food items in smart refrigerators. To provide families with an integrated experience for grocery shopping and cooking, the refrigerators will connect to other smart appliances, such as stoves and microwave ovens, on a LAN.
You plan to build an object recognition model by using the Microsoft Cognitive Toolkit. The object recognition model will receive input from the connected devices and send results to applications.
The training data will be derived from more than 10 TB of images. You will convert the raw images to the sparse format.
End of repeated scenario.
You need to preprocess the training data by using a Principal Component Analysis (PCA) algorithm in the least amount of time possible.
Which implementation method should you use?
A. Azure Machine Learning Studio with a custom Execute R Script module
B. Azure Machine Learning Studio and a custom Execute Python Script module
C. Azure HDInsight using Microsoft R Server
D. Azure HDInsight using HiveML
Answer: A
Explanation:
Explanation/Reference:
References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/principal- component-analysis

NEW QUESTION: 3
展示を参照してください。

ニューヨークのルーターは、アトランタとワシントンのサイトを指す静的ルートで構成されています。アトランタとワシントンのルーターのSerial0 / 0/0インターフェイスが相互に到達できるようにするには、どの2つのタスクを実行する必要がありますか？
（2つ選択してください。）
A. Configure the ipv6 route 2012::/126 2023::1 command on the Washington router
B. Configure the ipv6 route 2012::/126 s0/0/0 command on the Atlanta router
C. Configure the ipv6 route 2012::/126 2023::2 command on the Washington router
D. Configure the ipv6 route 2023::/126 2012::1 command on the Atlanta router
E. Configure the ipv6 route 2023::/126 2012::2 command on the Atlanta router
Answer: C,E
Explanation:
Explanation
The short syntax of static IPv6 route is:ipv6 route <destination-IPv6-address> {next-hop-IPv6-address | exit-interface}