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NEW QUESTION: 1
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 create a new report for your large team in Google Data Studio 360. The report uses Google BigQuery as its data source. It is company policy to ensure employees can view only the data associated with their region, so you create and populate a table for each region. You need to enforce the regional access policy to the data.
Which two actions should you take? (Choose two.)
A. Adjust the settings for each dataset to allow a related region-based security group view access.
B. Adjust the settings for each table to allow a related region-based security group view access.
C. Ensure each table is included in a dataset for a region.
D. Adjust the settings for each view to allow a related region-based security group view access.
E. Ensure all the tables are included in global dataset.
Answer: A,C

NEW QUESTION: 2
You are having problems redistributing RIP routes into OSPF. Your Junos device has the following configuration:
[edit protocols ospf]
user@router# show
import my-policy;
area 0.0.0.0 {
interface ge-0/0/0.0;
interface ge-0/0/ ;
interface ge-0/0/ {
passive;
}
}
What would resolve the problem?
A. Apply my-policy as an import policy under the [edit protocols rip] hierarchy.
B. Apply my-policy as an export policy under the [edit protocols ospf] hierarchy.
C. Apply my-policy as an export policy under the [edit protocols rip] hierarchy.
D. Use the area-range parameter instead of a routing policy.
Answer: D

NEW QUESTION: 3
ヘルプデスクの管理者は、ヘルプデスクのスタッフが、コンピュータ関連の問題を抱えて電話をかけてきた会社の従業員によりよく対応できるような解決策を見つけたいと考えています。ヘルプデスクのスタッフは現在、効果的なトラブルシューティングを実行できず、技術的な問題を説明するために発信者に頼っています。ヘルプデスクのスタッフが本社内に配置され、発信者の90％が在宅勤務者であると仮定すると、ヘルプデスクマネージャーはトラブルシューティングでスタッフをより効果的にすると同時にコストを削減するために次のツールのうちどれを使用しますか。 （2を選択）
A. Eメール
B. デスクトップ共有
C. インスタントメッセージング
D. プレゼンス
E. Webカメラ
F. BYOD
Answer: B,C
Explanation:
C: Instant messaging (IM) allows two-way communication in near real time, allowing users to collaborate, hold informal chat meetings, and share files and information. Some IM platforms have added encryption, central logging, and user access controls. This can be used to replace calls between the end-user and the helpdesk.
E: Desktop sharing allows a remote user access to another user's desktop and has the ability to function as a remote system administration tool. This can allow the helpdesk to determine the cause of the problem on the end-users desktop.
Incorrect Answers:
A: Web cameras can be used for videoconferencing. This can be used to replace calls between the end-user and the helpdesk but would require the presence of web cameras and sufficient bandwidth.
B: Email can be used to replace calls between the end-user and the helpdesk but email communication is not in real-time.
D: Bring your own device (BYOD) is a relatively new phenomena in which company employees are allowed to connect their personal devices, such as smart phones and tablets to the corporate network and use those devices for work purposes.
F: Presence is an Apple software product that is similar to Windows Remote Desktop. It gives users access to their Mac's files wherever they are. It also allows users to share fi les and data between a Mac, iPhone, and iPad.
References:
Gregg, Michael, and Billy Haines, CASP CompTIA Advanced Security Practitioner Study Guide, John Wiley & Sons, Indianapolis, 2012, pp. 347, 348, 351