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NEW QUESTION: 1
Which IPS technique commonly is used to improve accuracy and context awareness, aiming to detect and respond to relevant incidents only and therefore, reduce noise?
A. attack relevancy
B. signature accuracy
C. target asset value
D. risk rating
Answer: D
Explanation:
http://www.cisco.com/en/US/prod/collateral/vpndevc/ps5729/ps5713/ps4077/prod_white_p
aper0900aecd806e7299.html
Risk Rating Calculation
Risk rating is a quantitative measure of your network's threat level before IPS mitigation.
For each event fired by IPS signatures, Cisco IPS Sensor Software calculates a risk rating
number. The factors used to calculate risk rating are:
Signature fidelity rating: This IPS-generated variable indicates the degree of attack certainty.
Attack severity rating: This IPS-generated variable indicates the amount of damage an attack can cause.
Target value rating: This user-defined variable indicates the criticality of the attack target. This is the only factor in risk rating that is routinely maintained by the user. You can assign a target value rating per IP address in Cisco IPS Device Manager or Cisco Security Manager. The target value rating can raise or lower the overall risk rating for a network device. You can assign the following target values:
-
75: Low asset value
-
100: Medium asset value
-
200: Mission-critical asset value
Attack relevancy rating: This IPS-generated value indicates the vulnerability of the attack target.
Promiscuous delta: The risk rating of an IPS deployed in promiscuous mode is reduced by the promiscuous delta. This is because promiscuous sensing is less accurate than inline sensing. The promiscuous delta can be configured on a per-signature basis, with a value range of 0 to 30. (The promiscuous delta was introduced in Cisco IPS Sensor Software Version 6.0.)
Watch list rating: This IPS-generated value is based on data found in the Cisco Security Agent watch list. The Cisco Security Agent watch list contains IP addresses of devices involved in network scans or possibly contaminated by viruses or worms. If an attacker is found on the watch list, the watch list rating for that attacker is added to the risk rating. The value for this factor is between 0 and 35. (The watch list rating was introduced in Cisco IPS
Sensor Software Version 6.0.) Risk rating can help enhance your productivity as it intelligently assesses the level of risk of each event and helps you focus on high-risk events.

NEW QUESTION: 2
You are developing an ASP.NET MVC application that uses forms authentication to verify that the user is logged in.
Authentication credentials must be encrypted and secure so no user identity is exposed.
You need to ensure that user credentials are persisted after users log on.
Where should you store the credentials? (Each correct answer presents a complete solution. Choose all that apply.)
A. In ViewData in the application
B. In a cookie stored in the browser
C. In Session on the server
D. In TempData on the server
Answer: B,C
Explanation:
Server sessions and cookies can both be configured to secure and they both persist after the users log on.
Incorrect:
Not C: ViewData's life only lasts during current http request.
Not D: TempData is a bucket where you can dump data that is only needed for the following request. That is, anything you put into TempData is discarded after the next request completes.

NEW QUESTION: 3
Azureサービスを正しい定義に一致させます。
手順：回答するには、適切なAzureサービスを左側の列から右側の説明にドラッグします。 各サービスは、1回、複数回、またはまったく使用されません。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1:
Azure Functions provides the platform for serverless code.
Azure Functions is a serverless compute service that lets you run event-triggered code without having to explicitly provision or manage infrastructure.
Box 2:
Azure Databricks is a big analysis service for machine learning.
Azure Databricks is an Apache Spark-based analytics platform. The platform consists of several components including 'MLib'. Mlib is a Machine Learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives.
Box 3:
Azure Application Insights detects and diagnoses anomalies in web apps.
Application Insights, a feature of Azure Monitor, is an extensible Application Performance Management (APM) service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools to help you diagnose issues and to understand what users actually do with your app.
Box 4:
Azure App Service hosts web apps.
Azure App Service is an HTTP-based service for hosting web applications, REST APIs, and mobile back ends. You can develop in your favorite language, be it .NET, .NET Core, Java, Ruby, Node.js, PHP, or Python. Applications run and scale with ease on both Windows and Linux-based environments.
References:
https://docs.microsoft.com/en-us/azure/azure-functions/
https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks#apache-spark-based-analytics-platform
https://docs.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview
https://docs.microsoft.com/en-us/azure/app-service/overview

NEW QUESTION: 4
During a project demonstration, a team member provides sample test data to the client without consulting the project manager. This delays the project.
What should the project manager do to avoid this in the future
A. Document this in the lessons learned repository, and share it with the team
B. Ask the client to refuse test data provided directly by team members
C. Remove the team member from the project.
D. Allow the client to use any provided sample data to the baseline the project periodically
Answer: A