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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. 回帰
B. 分類
C. クラスタリング
Answer: A
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. Perform a Viability Assessment
C. Review the Solution Assurance Trigger Criteria
D. Review IBM Internal Standards page
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. Two NetScalers in a high availability pair, 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. Three NetScalers in a cluster, 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 workflow for price list
B. Create an opportunity.
C. Create a product catalog
D. Create a quote with a write-in product
Answer: C
Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/sales-enterprise/set-up-product-catalog-walkthrough