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NEW QUESTION: 1
AWS 계정 관리자는 IAM 그룹을 생성하고 각 개별 사용자가 다단계 인증을 사용하여 인증하도록 요구하는 다음 관리 형 정책을 적용했습니다.

정책을 구현 한 후 관리자는 사용자가 AWS CLI를 사용하여 Amazon EC2 명령을 수행 할 수 없다는 보고서를 받습니다. 관리자는 다단계 인증을 시행하면서 이 문제를 해결하려면 어떻게 해야 합니까?
A. aws MultiFactorAuthPresent 값을 true로 변경합니다.
B. 역할을 생성하고 역할 신뢰 정책에서 다단계 인증을 시행합니다. 사용자에게 sts assume-role CLI 명령을 실행하고 --serial-number 및 -token-code 매개 변수를 전달하도록 지시합니다. 결과 값을 환경 변수에 저장합니다. 정책의 NotAction에 sts : AssumeRole을 추가하십시오.
C. 사용자에게 aws sts get-session-token CLI 명령을 실행하고 다단계 인증 -serial-number 및 -token-code 파라미터를 전달하도록 지시합니다. 이러한 결과 값을 사용하여 API / CLI 호출
D. SAML 2.0을 사용하여 통합 API / CLI 액세스를 구현한 다음 다단계 인증을 시행하도록 ID 공급자를 구성합니다.
Answer: B

NEW QUESTION: 2
MJTelco Case Study
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. 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.
B. Look through the current data and compose a small set of generalized charts and tables bound to criteria filters that allow value selection.
C. 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.
D. Look through the current data and compose a series of charts and tables, one for each possible combination of criteria.
Answer: B

NEW QUESTION: 3
Refer to the exhibit.

Which functionality must be enabled on router A to connect two networks for translating private addresses into
"legal" public addresses on a one-for-one basis?
A. VLAN
B. NAT
C. GARP
D. PPP
Answer: A

NEW QUESTION: 4
コードの断片を考えると：

結果は何ですか？
A. Sum is 600
B. Compilation fails at line n1.
C. A ClassCastException is thrown at line n2.
D. A ClassCastException is thrown at line n1.
E. Compilation fails at line n2.
Answer: E
Explanation:
The eclipse compiler said "compilation fails" referring to line 2.