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NEW QUESTION: 1
A junior network engineer has just configured a new IBGP peering between two Cisco ASR9K PE routers in the network using the loopback interface of the router, but the IBGP neighborship is not able to be established. Which two verification steps will be helpful in troubleshooting this problem? (Choose two.)
A. Verify that the network command under router BGP is configured correct on each router for announcing the router's loopback interface in BGP
B. Verify that the UDP port 179 traffic is not being blocked by an ACL or firewall between the two IBGP peers
C. Verify that the ttl-security command under the BGP neighbor is configured correctly on each router to enable the router to send the BGP packets using a proper TTL value
D. Verify that the update-source loopback command under the BGP neighbor is configured correctly on each router
E. Verify that the ibgp-multihop command under the BGP neighbor is configured correctly on each router
F. Verify that the loopback interfaces are reachable over the IGP
Answer: D,F
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
IT変革プログラムを受けている大規模金融機関の最高情報セキュリティ責任者（CISO）は、迅速な勝利を達成し、組織のリスクを軽減するために、ビジネス全体およびできるだけ多くのビジネスレイヤー全体にセキュリティを組み込むことを望んでいます。 CISOは、目標を最もよく満たすために、次のうちどのビジネス領域を最初にターゲットにすべきですか？
A. すべての新しい従業員がフィッシングおよびランサムウェア攻撃の影響を軽減するために、セキュリティに関する意識向上とコンプライアンストレーニングを確実に実施できるように、人的資源をターゲットにする必要があります。
B. プログラマーと開発者は、修正プロセスを使用した自動コードレビューを含む安全なコーディングプラクティスがすぐに実装されるようにターゲットを設定する必要があります。
C. プロジェクト管理オフィスは、セキュリティが確実に管理され、新しいプロジェクトおよび進行中のプロジェクトのプロジェクト管理サイクルのすべてのレベルで含まれるようにする必要があります。
D. リスク保証チームは、組織全体で集約して経営管理用のリスク態勢ダッシュボードを作成できる主要なビジネスユニットのセキュリティリスクを特定できるようにターゲットを絞る必要があります。
Answer: D
NEW QUESTION: 3
Which three options are common examples of AAA implementation on Cisco routers?
(Choose three.)
A. authenticating administrator access to the router console port, auxiliary port, and vty ports
B. performing router commands authorization using TACACS+
C. securing the router by locking down all unused services
D. implementing PKI to authenticate and authorize IPsec VPN peers using digital certificates
E. authenticating remote users who are accessing the corporate LAN through IPsec VPN connections
F. tracking Cisco NetFlow accounting statistics
Answer: A,B,E
Explanation:
http://www.cisco.com/en/US/products/ps6638/products_data_sheet09186a00804fe332.htm l Need for AAA Services Security for user access to the network and the ability to dynamically define a user's profile to gain access to network resources has a legacy dating back to asynchronous dial access.
AAA network security services provide the primary framework through which a network administrator can set up access control on network points of entry or network access servers, which is usually the function of a router or access server.
Authentication identifies a user; authorization determines what that user can do; and accounting monitors the network usage time for billing purposes.
AAA information is typically stored in an external database or remote server such as RADIUS or TACACS+.
The information can also be stored locally on the access server or router. Remote security servers, such as RADIUS and TACACS+, assign users specific privileges by associating attribute-value (AV) pairs, which define the access rights with the appropriate user. All authorization methods must be defined through AAA.
NEW QUESTION: 4
Case Study 2 - MJTelco
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world.
The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost.
Their management and operations teams are situated all around the globe creating many-to-many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
* Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
* Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments - development/test, staging, and production - to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
* Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community.
* Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
* Provide reliable and timely access to data for analysis from distributed research workers
* Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
* Ensure secure and efficient transport and storage of telemetry data
* Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
* Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately
100m records/day
* Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure. We also need environments in which our data scientists can carefully study and quickly adapt our models. Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis.
Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
You need to compose visualization for operations teams with the following requirements:
* Telemetry must include data from all 50,000 installations for the most recent 6 weeks (sampling once every minute)
* The report must not be more than 3 hours delayed from live data.
* The actionable report should only show suboptimal links.
* Most suboptimal links should be sorted to the top.
* Suboptimal links can be grouped and filtered by regional geography.
* User response time to load the report must be <5 seconds.
You create a data source to store the last 6 weeks of data, and create visualizations that allow viewers to see multiple date ranges, distinct geographic regions, and unique installation types. You always show the latest data without any changes to your visualizations. You want to avoid creating and updating new visualizations each month. What should you do?
A. Export the data to a spreadsheet, compose a series of charts and tables, one for each possible combination of criteria, and spread them across multiple tabs.
B. Look through the current data and compose a series of charts and tables, one for each possible combination of criteria.
C. Load the data into relational database tables, write a Google App Engine application that queries all rows, summarizes the data across each criteria, and then renders results using the Google Charts and visualization API.
D. Look through the current data and compose a small set of generalized charts and tables bound to criteria filters that allow value selection.
Answer: D
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