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NEW QUESTION: 1
A customer wants to provide a web based user interface (UI) to its business users for reviewing the Key Performance Indicators of their production schedule. They maintain this as a master scenario in Decision Optimization Center (DOC) based solution. Which DOC feature can be leveraged for developing a reviewer web UI?
A. Decision Optimization Center CPLEX Server
B. Decision Optimization Center Data Server
C. Decision Optimization Center REST API
D. Decision Optimization Center Client
Answer: D
Explanation:
Explanation/Reference:
The IBM Decision Optimization Center Console is a Web client application for viewing and administrating applications and jobs hosted by the IBM Optimization Server and Data Server.
References: https://www.ibm.com/support/knowledgecenter/SSQVNT_3.8.0/
ilog.odms.ide.odm.enterprise.help/ODME/RelNotes/topics/ODME_relnotes38.html

NEW QUESTION: 2
Observe the following warning in an RMAN session of your database instance:
WARNING: new failures were found since last LIST FAILURE command
Which statement describes the scenario that must have produced this warning?
A. The RECOVER command has detected new failures recorded in the Automatic Diagnostic Repository (ADR) since the last LIST FAILURE command was executed.
B. The VALIDATE DATABASE command has detected new failures recorded in the Automatic Diagnostic Repository (ADR).
C. The CHANGE FAILURE command has detected new failures recorded in the Automatic Diagnostic Repository(ADR).
D. The ADVISE FAILURE command has detected new failures recorded in the Automatic Diagnostic Repository (ADR) since the last LIST FAILURE.
Answer: D
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 3
You need to correct the model fit issue.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation:
Step 1: Augment the data
Scenario: Columns in each dataset contain missing and null values. The datasets also contain many outliers.
Step 2: Add the Bayesian Linear Regression module.
Scenario: You produce a regression model to predict property prices by using the Linear Regression and Bayesian Linear Regression modules.
Step 3: Configure the regularization weight.
Regularization typically is used to avoid overfitting. For example, in L2 regularization weight, type the value to use as the weight for L2 regularization. We recommend that you use a non-zero value to avoid overfitting.
Scenario:
Model fit: The model shows signs of overfitting. You need to produce a more refined regression model that reduces the overfitting.
Incorrect Answers:
Multiclass Decision Jungle module:
Decision jungles are a recent extension to decision forests. A decision jungle consists of an ensemble of decision directed acyclic graphs (DAGs).
L-BFGS:
L-BFGS stands for "limited memory Broyden-Fletcher-Goldfarb-Shanno". It can be found in the wwo-Class Logistic Regression module, which is used to create a logistic regression model that can be used to predict two (and only two) outcomes.
References:
<https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regr ession>

NEW QUESTION: 4
After a risk has been identified, who is in the BEST position to select the appropriate risk treatment option?
A. The control owner
B. The risk practitioner
C. The risk owner
D. The business process owner
Answer: C