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NEW QUESTION: 1
実装時に設定する必要がある主要な技術項目は何ですか？
A. カスタムフォントの使用
B. メール認証
C. IPホワイトリスト
D. トラッキングコード
E. CNAME
Answer: B,C,D,E

NEW QUESTION: 2
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.
Given the record streams MJTelco is interested in ingesting per day, they are concerned about the cost of Google BigQuery increasing. MJTelco asks you to provide a design solution. They require a single large data table called tracking_table. Additionally, they want to minimize the cost of daily queries while performing fine-grained analysis of each day's events. They also want to use streaming ingestion. What should you do?
A. Create a partitioned table called tracking_table and include a TIMESTAMP column.
B. Create a table called tracking_table and include a DATE column.
C. Create a table called tracking_table with a TIMESTAMP column to represent the day.
D. Create sharded tables for each day following the pattern tracking_table_YYYYMMDD.
Answer: A

NEW QUESTION: 3
本社と支社の間にElGRPを導入しています。 フェーズ1では、フェーズ2のトポロジで説明したように、EIGRPの設定を実装して検証する必要があります。同僚はNATとISPの設定を行うことが期待されます。フェーズ1 EIGRPの実装中に発生する問題を識別します。
* ルーターR1は本社をインターネットに接続し、ルーターR2とR3は内部ルーターです。
* ルーターブランチ1およびブランチ2は、本社のルーターR2に接続します。
* Branch1 LANネットワーク10 20 40 0724のユーザーは、サーバーファーム1内のサーバーでホストされているアプリケーションのテストを実行してから、サーバーを運用可能にします。
- GREトンネルはR3とBranch1の間で設定され、サーバーファーム1とBranch1 LANネットワーク10 20 40 0/24間のトラフィックは、スタティックルートを使用してGREトンネルを経由してルーティングされます。
* Branch1とBranch2間のリンクは、プライマリパスに障害が発生した場合にセカンダリパスとして使用されます。R1にコンソールアクセス権があります。 R2。 R3。 Branch1およびBranch2デバイスshowコマンドのみを使用して問題のトラブルシューティングを行います。トポロジ：




Branch2から本社へのトラフィックは、R2に接続されているプライマリパスの代わりにセカンダリパスを使用しています。 問題の原因はどれですか？
A. ネットワーク192.163.11,0 / 30はBranch2のEIGRPにアドバタイズされませんでした。
B. IPアドレスがBranch2とR2のインターフェイス間で正しく構成されていませんでした。
C. EIGRPパケットは、Branch2の受信ACLによってブロックされました。
D. プライマリパスにはリンク遅延が設定され、セカンダリパスではEIGRPにセカンダリパスが選択されます。
Answer: B

NEW QUESTION: 4
How may a bank limit the definition of executive officer?
A. By requiring that those officers to be excluded from the definition not attend loan committee meetings or loan review meetings
B. By passing a board of directors resolution setting forth the bank's definition of an executive officer
C. By limiting the amount of confidential information given to those officers to be excluded from the definition
D. By strictly defining, in writing, the duties and responsibilities of the officers to be excluded from the definition
Answer: B

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