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NEW QUESTION: 1
* Dashboards
* Scorecards
* Key Performance Indicators (KPI)
A. Option B
B. Option A
Answer: A
Explanation:
Explanation
You need PerformancePoint Serviceswhich is a SharePoint BI tool. This is not the same as Power BI.
References:
https://technet.microsoft.com/en-us/library/ee424392(v=office.16).aspx
NEW QUESTION: 2
An organization plans to deploy Microsoft 365 in a hybrid scenario.
You need to provide a recommendation based on some common identity and access management scenarios. The solution must minimize costs.
Match each solution to its appropriate scenario. To answer, drag the appropriate solutions from the column on the left to the scenarios on the right. Each solution may be used once, more than once, or not at all. Each correct match is worth one point.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
References:
https://docs.microsoft.com/en-us/azure/security/azure-ad-choose-authn
https://docs.microsoft.com/en-us/azure/active-directory/hybrid/how-to-connect-password-hash-synchronization
https://docs.microsoft.com/en-us/azure/active-directory/hybrid/how-to-connect-pta
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
どんなプロトコルが、LEAPの弱点を克服しますか？
A. EAP-FAST
B. PEAP
C. EAP-TLS
D. EAP-TTLS
Answer: A
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