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NEW QUESTION: 1
今後10年間の海面をメートル単位で予測する必要があります。
どのタイプの機械学習を使用する必要がありますか？
A. 分類
B. クラスタリング
C. 回帰
Answer: C
Explanation:
Explanation
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
NEW QUESTION: 2
How does a salesperson know when a Technical and Delivery Assessment (TOA) is required?
A. Check the IBM System Storage Interoperation Center (SSIC)
B. Review IBM Internal Standards page
C. Review the Solution Assurance Trigger Criteria
D. Perform a Viability Assessment
Answer: C
NEW QUESTION: 3
Which option requires the fewest components to implement a fault-tolerant, load-balanced solution for end-user access at each datacenter?
A. Three NetScalers in a cluster, with load balancing pointing to two StoreFront servers belonging to the same StoreFront server group.
B. Two StoreFront servers in a single StoreFront server group.
C. Two NetScalers in a high availability pair, with load balancing pointing to two StoreFront servers belonging to the same StoreFront server group.
D. Two NetScalers in a high availability pair, with load balancing pointing to a single StoreFront server.
Answer: D
NEW QUESTION: 4
You need to configure the system for all the large quantity pricing requirements.
What should you do?
A. Create a quote with a write-in product
B. Create a product catalog
C. Create a workflow for price list
D. Create an opportunity.
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/sales-enterprise/set-up-product-catalog-walkthrough