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NEW QUESTION: 1
The following SAS program is submitted:
data numrecords;
infile 'file specification';
input@1 patient $15.
relative$ 16-26@;
if relative = 'children' then
input @54 diagnosis $15. @;
else if relative = 'parents' then
input @28 doctor $15.
clinic $ 44-53
@54 diagnosis $15. @;
input age;
run;
How many raw data records are read during each iteration of the DATA step execution?
A. 0
B. 1
C. 2
D. 3
Answer: C

NEW QUESTION: 2
AzureのSUSE Linux Enterprise Server（SLES）仮想マシンに高可用性ASCSインスタンスをデプロイする予定です。
ASCSインスタンスの内部Azure Standard Load Balancerを構成しています。
内部標準ロードバランサーをどのように構成する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation
Session persistence: None.
Floating IP: Enabled.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/workloads/sap/high-availability-guide-suse

NEW QUESTION: 3
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.

Based on this information, which model would have the HIGHEST recall with respect to the fraudulent class?
A. Naive Bayesian classifier
B. Decision tree
C. Single Perceptron with sigmoidal activation function
D. Linear support vector machine (SVM)
Answer: B
Explanation:
To identity fraudulent or not, you need a model with high accuracy and high recall (low false negative). The data in the graph is non-linear. Generally Decision tree gives better result for non- linear data than Naive Bayes classifier.
https://datascience.stackexchange.com/questions/6787/are-decision-tree-algorithms-linear-or- nonlinear
https://sebastianraschka.com/Articles/2014_naive_bayes_1.html