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In the information society, everything is changing rapidly.
NEW QUESTION: 1
What is the MAIN purpose of designing risk management programs?
A. To reduce the risk to a level that the enterprise is willing to accept
B. To reduce the risk to a level that is too small to be measurable
C. To reduce the risk to the point at which the benefit exceeds the expense
D. To reduce the risk to a rate of return that equals the current cost of capital
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Risk cannot be removed completely from the enterprise; it can only be reduced to a level that an organization is willing to accept. Risk management programs are hence designed to accomplish the task of reducing risks.
Incorrect Answers:
B: Depending on the risk preference of an enterprise, it may or may not choose to pursue risk mitigation to the point at which benefit equals or exceeds the expense. Hence this is not the primary objective of designing the risk management program.
C: Reducing risk to a level too small to measure is not practical and is often cost-prohibitive.
D: Reducing risks to a specific return ignores the qualitative aspects of the risk which should also be considered.
NEW QUESTION: 2
회사는 판매 거래 데이터를 Amazon DynamoDB 테이블에 저장합니다. 비정상적인 동작을 감지하고 신속하게 대응하려면 DynamoDB 테이블에 저장된 항목에 대한 모든 변경 사항을 30 분 이내에 기록해야 합니다.
어떤 솔루션이 요구 사항을 충족합니까?
A. Amazon CloudWatch Events의 이벤트 패턴을 사용하여 AWS Lambda 함수를 사용하여 동작을 분석하는 DynamoDB API 호출 이벤트를 캡처합니다. 비정상적인 동작이 감지되면 SNS 알림을 보냅니다.
B. Amazon DynamoDB 스트림을 사용하여 AWS Lambda에 업데이트를 캡처하고 보냅니다. Amazon Kinesis Data Streams에 레코드를 출력하는 Lambda 함수를 생성하십시오. Amazon Kinesis Data Analytics로 모든 이상을 분석하십시오. 비정상적인 동작이 감지되면 SNS 알림을 보냅니다.
C. AWS CloudTrail을 사용하여 DynamoDB 테이블을 변경하는 모든 API를 캡처하십시오. CloudTrail 이벤트 필터링을 사용하여 비정상적인 동작이 감지되면 SNS 알림을 보냅니다.
D. DynamoDB 테이블을 1 시간마다 Amazon EMR의 Apache Hive 테이블에 복사하고 비정상적인 동작에 대해 분석하십시오. 비정상적인 동작이 감지되면 Amazon SNS 알림을 보냅니다.
Answer: B
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html
NEW QUESTION: 3
An Einstein Consultant receives a new project from a client that wants to implement Einstein Analytics. They do not currently have Einstein Analytics, but want guidance around how to ensure that their users have correct access.
They have 1000 users with a small team of three people who will build datasets and dashboards. An additional
15 people should be able to create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
A. Assign "Einstein Analytics Explorer" licenses to users that should only view the dashboard, and assign
"Einstein Analytics Developer" licenses to users that should be able to create datasets and dashboards.
B. Create and assign three new Salesforce profiles according to the three types of roles defined.
C. Create and assign Salesforce permission sets according to the three types of roles defined.
D. Assign the app permissions "viewer/' "editor," and "manager" to the three types of roles defined.
Answer: A
NEW QUESTION: 4
Answer:
Explanation:
Explanation
Web App for Containers provides a highly scalable, self-patching web hosting service. You can create a data-driven Python web app, using PostgreSQL as the database back end. When you are done, you have a Python Flask application running within a Docker container on App Service on Linux.
Reference:
https://docs.microsoft.com/en-us/azure/app-service/containers/tutorial-docker-python-postgresql-app