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NEW QUESTION: 1
Company XYZ manufactures three different types of PC monitors.
Type 1 is a unique requirement for the local college called Northern College. Shipments of Type 1 to other customers are not allowed. This Item is stored only in a subinventory called MODEL 1.
Other models are also stored in this same subinventory.
The other two types (Type 2 and Type 3) can be shipped to any other customer, including Northern College.
Which conditions are mandatory for the Picking rule (rule.to meet these requirements?
A. Transaction type of Sales Order. Rule assigned to Northern College.
B. Subinventory as MODEL 1. Rule assigned to Type 1, and transaction type as Sales Order.
C. Subinventory as MODEL 1. Rule assigned to Type 1, transaction type as Sales Order, and customer Northern College.
D. Subinventory as MODEL 1. Rule assigned to Type 1, and customer as Northern College.
E. Subinventory as MODEL 1. Rule assigned to customer Northern College.
Answer: C

NEW QUESTION: 2
온라인 사진 앨범 앱에는 고품질 화면이있는 여러 화면 (예 : 데스크톱, 휴대 전화 및 태블릿)을 지원하는 주요 디자인 기능이 있습니다. 여러 버전의 이미지는 다른 해상도와 레이아웃으로 저장해야합니다.
이미지 처리 Java 프로그램은 이미지 크기 및 형식에 따라 업로드 당 평균 5 초가 소요됩니다. 각 이미지 업로드는 사용자, 앨범, 사진 레이블, 업로드 타임 스탬프와 같은 이미지 메타 데이터를 캡처합니다. 앱에서 다음 요구 사항을 지원해야 합니다.
- 초당 수백 개의 사용자 이미지 업로드
- 최대 이미지 메타 데이터 크기는 10MB입니다.
- 최대 이미지 메타 데이터 크기는 1KB
- 이미지 업로드 후 1 분 이내에 지원되는 모든 화면에서 최적화 된 해상도로 이미지가 표시됩니다 이러한 요구 사항을 충족시키는 데 사용해야 하는 전략은 무엇입니까?
A. Amazon Kinesis에 이미지 및 메타 데이터 쓰기, Kinesis 클라이언트 라이브러리 (KCL) 응용 프로그램을 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3에 저장하고 응용 프로그램 저장소 DB에 저장
B. Amazon kinesis에 이미지와 메타 데이터를 씁니다. Spark Streaming과 함께 Amazon Elastic MapReduce (EMR)를 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon에 저장하십시오.
C. 메타 데이터가있는 이미지를 Amazon S3에 업로드하면 Lambda 함수를 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3에 저장하고 메타 데이터를 앱 저장소 DB에 저장합니다
D. BLOB 데이터 형식으로 이미지 및 메타 데이터 RDS를 작성합니다. AWS Data Pipeline을 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3에 저장하고 메타 데이터를 앱 저장소 DB에 저장합니다.
Answer: B

NEW QUESTION: 3
Which statements are correct about the advanced Capability Analysis shown here?

(Note: There are 3 correct answers).
A. The maximum DPU in one observation was nearly 0.0753.
B. The process shows only one instance of being out of control statistically so we have confidence in the estimated DPU of this process.
C. This is a Poisson Capability Analysis.
D. The average DPU with 95% confidence is between 0.024 and 0.0295.
E. The DPU does not seem to vary depending on sample size.
Answer: A,D,E