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NEW QUESTION: 1
Once the model has been generated, you must verify its validity by examining the performance indicators:
Note: There are 2 correct answers to this question.
A. The predictive power allows you to evaluate the explanatory power of the model, that is, its capacity to explain the target variable when applied to the training dataset. A perfect model possesses a predictive power of 1 and a completely random model possesses a predictive power of 0. No minimum threshold is required for the predictive power of a model. This depends upon the context of your work, that is, your domain of application, the nature of your data and your business issue. 26 P U B L I C Automated Analytics User Guides and Scenarios Modeling Concepts In some cases, a model with a predictive power as low as 0.1 may allow realization of a profit of several thousands dollars. In all cases, a positive predictive power indicates that the model generated will perform better than a random model.
B. The environment variable definition is using the POSIX standard shell sh semantic, which first defines the variable, then exports it. To guarantee a proper functioning, The environment variable definition is using the POSIX standard shell sh semantic, which first defines the variable, then exports it. To guarantee a proper functioning,
C. The prediction confidence defines the degree of robustness of the model, that is, its capacity to achieve the same explanatory power when applied to a new dataset. In other words, the degree of robustness corresponds to the predictive power of the model when applied to an application dataset. A model with a prediction confidence inferior to 0.95 must be considered with caution. The performance of such a model is very likely to vary between the training dataset and the application datasets.
Answer: A,C
NEW QUESTION: 2
Sie haben ein Azure-Abonnement mit dem Namen Sub1.
Sie möchten eine mehrschichtige Anwendung bereitstellen, die die in der folgenden Tabelle aufgeführten Ebenen enthält.
Sie müssen eine Netzwerklösung empfehlen, um die folgenden Anforderungen zu erfüllen:
* Stellen Sie sicher, dass die Kommunikation zwischen den Webservern und der Geschäftslogikebene gleichmäßig verteilt ist
* die virtuellen Maschinen.
* Schützen Sie die Webserver vor SQL-Injection-Angriffen.
Welche Azure-Ressource sollten Sie für jede Anforderung empfehlen? Um zu antworten, wählen Sie die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
Answer:
Explanation:
Explanation
Box 1: an internal load balancer
Azure Internal Load Balancer (ILB) provides network load balancing between virtual machines that reside inside a cloud service or a virtual network with a regional scope.
Box 2: an application gateway that uses the WAF tier
Azure Web Application Firewall (WAF) on Azure Application Gateway provides centralized protection of your web applications from common exploits and vulnerabilities. Web applications are increasingly targeted by malicious attacks that exploit commonly known vulnerabilities.
References:
https://docs.microsoft.com/en-us/azure/web-application-firewall/ag/ag-overview
NEW QUESTION: 3
展示を参照してください。
エンジニアは、AS 200を出るすべてのトラフィックがエントリポイントとしてリンク2を選択するようにする必要があります。すべてのBGPネイバー関係が形成されていて、どのルーターでも属性が変更されていないと仮定すると、どの構成でタスクを実行できますか？
A. オプションC
B. オプションA
C. オプションB
D. オプションD
Answer: B
Explanation:
Explanation
R3 advertises BGP updates to R1 with multiple AS 100 so R3 believes the path to reach AS 200 via R3 is farther than R2 so R3 will choose R2 to forward traffic to AS 200.