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NEW QUESTION: 1
What can the SMTP preprocessor in FirePOWER normalize?
A. It uses the Traffic Anomaly Detector.
B. It can extract and decode email attachments in client to server traffic.
C. It can look up the email sender.
D. It can forward the SMTP traffic to an email filter server.
E. It compares known threats to the email sender.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Transport and network layer preprocessors detect attacks that exploit IP fragmentation, checksum validation, and TCP and UDP session preprocessing. Before packets are sent to preprocessors, the packet decoder converts packet headers and payloads into a format that can be easily used by the preprocessors and the intrusion rules engine and detects various anomalous behaviors in packet headers.
After packet decoding and before sending packets to other preprocessors, the inline normalization preprocessor normalizes traffic for inline deployments.
Reference: http://www.cisco.com/c/en/us/td/docs/security/firesight/541/firepower-module-user-guide/asa- firepower-module-user-guide-v541/NAP-Transport-Network-Layer.html

NEW QUESTION: 2
展示を参照してください。

ネットワークエンジニアは、アクセススイッチに接続されているインターフェイスのすべての着信および発信パケットを分析したいと考えています。ディストリビューションスイッチに接続されているパケットスニファーにトラフィックをミラーリングするには、どの3つのアイテムを構成する必要がありますか？ （3つ選択してください。）
A. 物理インターフェースのソースとリモートSPAN VLANを宛先とするアクセススイッチ上のモニターセッション
B. ディストリビューションおよびアクセスレイヤースイッチ上のリモートSPAN VLAN
C. 発信元として物理インターフェイスを使用し、宛先としてリモートSPAN VLANを使用するディストリビューションスイッチの監視セッション
D. 送信元としてリモートSPAN VLANを使用し、宛先として物理インターフェイスを使用するディストリビューションスイッチのモニタセッション
E. 発信元として物理インターフェース、宛先として物理インターフェースを持つディストリビューションスイッチ上のモニターセッション
F. リモートSPAN VLAN送信元および物理インターフェイスを宛先とするアクセススイッチ上の監視セッション
Answer: A,B,D

NEW QUESTION: 3
계정에서 실행중인 모든 AWS Lambda 함수를 나열하는 데 사용할 수 있는 AWS 도구 또는 서비스는 무엇입니까? (2 개 선택)
A. AWS CloudTrail
B. AWS CLI
C. AWS CloudFormation
D. Amazon 클라우드 디렉터리
E. AWS SDKS
Answer: B,E

NEW QUESTION: 4

A. Option D
B. Option B
C. Option C
D. Option A
Answer: D
Explanation:
Local storage is temporary in Azure. So, if the virtual machine supporting your role dies and cannot recover, your local storage is lost! Therefore, Azure developers will tell you, only volatile data should ever be stored in local storage of Azure.
References: http://www.intertech.com/Blog/windows-azure-local-file-storage-how-to-guide-and-warnings/
http://blog.codingoutloud.com/2011/06/12/azure-faq-can-i-write-to-the-file-system-on-windows-azure/
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Topic 8, Woodgrove Bank
Background
Overview
Woodgrove Bank has 20 regional offices and operates 1,500 branch office locations. Each regional office hosts the servers, infrastructure, and applications that support that region.
Woodgrove Bank plans to move all of their on-premises resources to Azure, including virtual machine (VM)-based, line-of-business workloads, and SQL databases. You are the owner of the Azure subscription that Woodgrove Bank is using. Your team is using Git repositories hosted on GitHub for source control.
Security
Currently, Woodgrove Bank's Computer Security Incident Response Team (CSIRT) has a problem investigating security issues due to the lack of security intelligence integrated with their current incident response tools. This lack of integration introduces a problem during the detection (too many false positives), assessment, and diagnose stages. You decide to use Azure Security Center to help address this problem.
Woodgrove Bank has several apps with regulated data such as Personally Identifiable
Information (PII) that require a higher level of security. All apps are currently secured by using an on-premises Active Directory Domain Services (ADDS). The company depends on the following mission-critical apps: WGBLoanMaster, WGBLeaseLeader, and
WGBCreditCruncher apps. You plan to move each of these apps to Azure as part of an app migration project.
Apps
The WGBLoanMaster app has been audited for transaction loss. Many transactions have been lost in processing and monetary write-offs have cost the bank. The app runs on two
VMs that include several public endpoints.
The WGBLeaseLeader app has been audited for several data breaches. The app includes a SQL Server database and a web-based portal. The portal uses an ASP.NET Web API function to generate a monthly aggregate report from the database.
The WGBCreditCruncher app runs on a VM and is load balanced at the network level. The app includes several stateless components and must accommodate scaling of increased credit processing. The app runs on a nightly basis to process credit transactions that are batched during the day. The app includes a web-based portal where customers can check their credit information. A mobile version of the app allows users to upload check images.
Business Requirements
WGBLoanMaster app
The app audit revealed a need for zero transaction loss. The business is losing money due to the app losing and not processing loan information. In addition, transactions fail to process after running for a long time. The business has requested the aggregation processing to be scheduled for 01:00 to prevent system slowdown.
WGBLeaseLeader app
The app should be secured to stop data breaches. If the data is breached, it must not be readable. The app is continuing to see increased volume and the business does not want the issues presented in the WGBLoanMaster app. Transaction loss is unacceptable, and although the lease monetary amounts are smaller than loans, they are still an important profit center for Woodgrove Bank. The business would also like the monthly report to be automatically generated on the first of the month. Currently, a user must log in to the portal and click a button to generate the report.
WGBCreditCruncher app
The web-based portal area of the app must allow users to sign in with their Facebook credentials. The bank would like to allow this feature to enable more users to check their credit within the app.
Woodgrove Bank needs to develop a new financial risk modeling feature that they can include in the WGBCreditCruncher app. The financial risk modeling feature has not been developed due to costs associated with processing, transforming, and analyzing the large volumes of data that are collected. You need to find a way to implement parallel processing to ensure that the features run efficiently, reliably, and quickly. The feature must scale based on computing demand to process the large volumes of data and output several financial risk models.
Technical Requirements
WGBLoanMaster app
The app uses several compute-intensive tasks that create long-running requests to the system. The app is critical to the business and must be scalable to increased loan processing demands. The VMs that run the app include a Windows Task Scheduler task that aggregates loan information from the app to send to a third party. This task runs a console app on the VM.
The app requires a messaging system to handle transaction processing. The messaging system must meet the following requirements:
* Allow messages to reside in the queue for up to a month.
* Be able to publish and consume batches of messages.
* Allow full integration with the Windows Communication Foundation (WCF) communication stack.
* Provide a role-based access model to the queues, including different permissions for senders and receivers.
You develop an Azure Resource Manager (ARM) template to deploy the VMs used to support the app. The template must be deployed to a new resource group and you must validate your deployment settings before creating actual resources.
WGBLeaseLeader app
The app must use Azure SQL Databases as a replacement to the current Microsoft SQL
Server environment. The monthly report must be automatically generated.
The app requires a messaging system to handle transaction processing. The messaging system must meet the following requirements:
* Require server-side logs of all of the transactions run against your queues.
* Track progress of a message within the queue.
* Process the messages within 7 days.
* Provide a differing timeout value per message.
WGBCreditCruncher app
The app must:
* Secure inbound and outbound traffic.
* Analyze inbound network traffic for vulnerabilities.
* Use an instance-level public IP and allow web traffic on port 443 only.
* Upgrade the portal to a Single Page Application (SPA) that uses JavaScript, Azure
Active Directory (Azure AD), and the OAuth 2.0 implicit authorization grant to secure the Web API back end.
* Cache authentication and host the Web API back end using the Open Web
Interface for .NET (OWIN) middleware.
* Immediately compress check images received from the mobile web app.
* Schedule processing of the batched credit transactions on a nightly basis.
* Provide parallel processing and scalable computing resources to output financial risk models.
* Use simultaneous computer nodes to enable high performance computing and updating of the financial risk models.
Key security area