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NEW QUESTION: 1
Your customer doesn't want to implement profitability analysis, not even account based, because the
company doesn't understand the its value. Which argument would you use to
persuade the customer?
A. Balance sheets can be analyzed by sales-specific characteristics.
B. Sales orders can be forecasted as liquidity items in cash flow reports.
C. Profit and loss statements can be analyzed by sales-specific characteristics.
D. Down payment integration can be performed with SD.
Answer: C
Explanation:
This question is borderline as far as if it can be answered with the content in this book. Though we try to
be consistent with the "everything can be found in the materials" rule, there are some questions where
it helps (but isn't strictly required) to have some "outside" experience to answer. In this case, you know
that many fields coming from SD are transferred to the Universal Journal as values of CO-PA
characteristics. Anything that finds itself as information on the line item in the Universal Journal can be
analyzed in reports, including the P&L statement, so A is the correct answer. The distractors here are
wrong:
CO-PA is updated for P&L accounts, so no balance sheet entries (usually); liquidity forecasting has
nothing to do with CO-PA; and the same is true with payment and down-payment processing. SAP
recommends that account-based CO-PA be activated for all SAP S/4HANA systems by default, even if a
customer won't initially make use of it.
NEW QUESTION: 2
In the following example, the Homelns, Homelnslnt, and Customer rulesets are configured for application validation. MyCo and MyColnt are configured for ruleset validation. MyCo lists MyColnt and Customer as its prerequisites, and the prerequisite for MyColnt is Pega-ProcessCommander.
Which of the following statements is correct?
A. Rules in MyCo can reference rules in Homelnslnt.
B. Rules in MyCoInt can reference rules in Customer.
C. Rules in Customer can reference rules in Homelns.
D. Rules in MyCo can reference rules in Homelns.
Answer: C
NEW QUESTION: 3
Solutions Architect가 AWS에서 새로운 웹 애플리케이션을 개발 중입니다. Architect는 응용 프로그램의 인기가 높아질 것으로 기대하므로 로드를 지원하도록 응용 프로그램을 확장해야 합니다. Architect는 인스턴스를 프로비저닝하거나 관리하지 않고도 소프트웨어 개발에 집중하고 새로운 기능을 배포하려고 합니다. 어떤 솔루션이 적합합니까?
A. Amazon API Gateway 및 AWS Lambda
B. Auto Scaling 그룹 및 Amazon EC2를 사용한 Elastic Load Balancing
C. Amazon API Gateway 및 Amazon EC2
D. Amazon CloudFront 및 AWS Lambda
Answer: A
NEW QUESTION: 4
조직에는 Amazon API Gateway, AWS Lambda 및 Amazon DynamoDB를 사용하는 쓰기 집약적 인 모바일 애플리케이션이 있습니다. 그러나 응용 프로그램의 규모는 잘 조정되었지만 예상 Lambda 비용보다 비용이 많이 들기 때문에 비용이 기하 급수적으로 증가했습니다. 응용 프로그램의 사용은 예측할 수 없지만 매달 사용량이 꾸준히 20 % 증가했습니다.
현재 Lambda 기능을 모니터링하는 동안 Solutions Architect는 실행 시간이 평균 4.5 분임을 알 수 있습니다. 대부분의 대기 시간은 온-프레미스 인 3TB MySQL 데이터베이스 서버에 대한 대기 시간이 긴 네트워크 호출의 결과입니다. VPN은 VPC에 연결하는 데 사용되므로 Lambda 기능은 5 분 시간 초과로 구성되었습니다.
Solutions Architect는 현재 아키텍처의 비용을 어떻게 줄일 수 있습니까?
A. VPN을 AWS Direct Connect로 교체하여 온 프레미스 MySQL 데이터베이스에 대한 네트워크 대기 시간을 줄입니다. API Gateway 결과를 Amazon CloudFront에 캐시합니다. Lambda 대신 Amazon EC2 예약 인스턴스를 사용하십시오. EC2에서 Auto Scaling을 활성화하고 스팟 인스턴스를 사용하십시오. 사용량이 많은 시간을 관리하려면 DynamoDB Auto Scaling을 활성화하십시오.
B. MySQL 데이터베이스 서버를 MySQL 용 다중 AZ Amazon RDS로 마이그레이션합니다. API 게이트웨이에서 API 캐싱을 활성화하여 Lambda 함수 호출 횟수를 줄입니다. AWS Lambda 함수 성능을 계속 모니터링합니다. 허용되는 실행 시간을 유지하면서 시간 초과 및 메모리 속성을 점차적으로 낮추어 값을 낮추십시오. DynamoDB에서 Auto Scaling을 활성화하십시오.
C. MySQL 데이터베이스 서버를 MySQL 용 다중 AZ Amazon RDS로 마이그레이션 Amazon Amazon Cloud Gateway를 캐싱하면 Amazon CloudFront에서 Lambda 함수 호출 수를 줄일 수 있습니다. Lambda 함수 성능을 모니터링합니다. 자주 실행되는 레코드에 DynamoDB Accelerator를 활성화하고 DynamoDB Auto Scaling 기능을 활성화하십시오.
D. VPN을 AWS Direct Connect로 교체하여 온 프레미스 MySQL 데이터베이스에 대한 네트워크 대기 시간을 줄입니다. 모바일 애플리케이션에서 로컬 캐싱을 활성화하여 Lambda 함수 호출을 줄입니다. Lambda 함수 성능을 모니터링합니다. 허용되는 실행 시간을 유지하면서 시간 초과 및 메모리 속성을 점차적으로 낮추고 자주 액세스하는 레코드를 DynamoDB에서 Amazon ElastiCache로 오프 로드합니다.
Answer: B