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NEW QUESTION: 1
신문 조직에는 대중이 자사의 등 카탈로그를 검색하고 Java로 작성된 웹 사이트를 통해 개별 신문 페이지를 검색 할 수 있는 온 프레미스 응용 프로그램이 있습니다. 그들은 오래된 신문을 JPEG (약 17TB)로 스캔하고 OCR (Optical Character Recognition)을 사용하여 상업용 검색 제품을 채 웁니다.
이제 호스팅 플랫폼 및 소프트웨어의 수명이 다해 AWS로 아카이브를 마이그레이션하고 비용 효율적인 아키텍처를 만들고 가용성 및 내구성을 위해 설계하려고 합니다.
가장 적절한 것은 무엇입니까?
A. CloudFormation을 사용하여 환경을 모델링하고, Apache 웹 서버 및 오픈 소스 검색 응용 프로그램을 실행하는 EC2 인스턴스를 사용하여 여러 표준 EBS 볼륨을 함께 스트라이프하여 JPEG 및 검색 색인을 저장합니다.
B. CloudFront 다운로드 배포판을 사용하여 JPEG를 최종 사용자에게 제공하고 EC2 인스턴스의 웹 사이트 용 Java 컨테이너와 함께 현재 상용 검색 제품을 설치하고 DNS 라운드 로빈과 함께 Route53을 사용합니다
C. S3를 사용하여 여분의 중복성을 줄이고 스캔 된 파일을 저장 및 제공하고 EC2 인스턴스에 상용 검색 응용 프로그램을 설치하고 자동 크기 조정 및 탄성 부하 분산 장치로 구성합니다.
D. 표준 중복으로 S3를 사용하여 스캔 한 파일을 저장 및 제공하고, 쿼리 처리를 위해 CloudSearch를 사용하고, Elastic Beanstalk을 사용하여 여러 가용성 영역에서 웹 사이트를 호스팅합니다.
E. 단일 AZ RDS MySQL 인스턴스를 사용하여 검색 색인 및 JPEG 이미지를 저장하고, EC2 인스턴스를 사용하여 웹 사이트를 제공하고 사용자 쿼리를 SQL로 변환합니다
Answer: D
Explanation:
설명:
클라우드 검색은 검색 관련 콘텐츠를위한 완벽한 옵션입니다.

NEW QUESTION: 2
In a rectangular axis system, what is approximate distance between the following points: C(1,2.5) and D (6.5,5.5) ?
A. 5.5.
B. 4.1.
C. 6.3.
D. 3.8.
E. 7.2.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
First, draw a rectangular axis system and mark the two points.
The easiest way to find the distance between them is to draw a triangle, where the line CD is the hypotenuse. You can see that the length of one side of the triangle is
(5.5 - 2.5 = 3) and the other side is (6.5 - 1 = 5.5). The length of the line CD is received with the help Of the Pythagoras principle.

NEW QUESTION: 3
What does the Transport Streamlining module in RiOS do? (Select 2)
A. Virtually expands TCP windows
B. Reduces WAN round trips at the application layer
C. Prioritizes application traffic
D. Reduces transport protocol inefficiencies
Answer: A,D

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are designing an HDInsight/Hadoop cluster solution that uses Azure Data Lake Gen1 Storage.
The solution requires POSIX permissions and enables diagnostics logging for auditing.
You need to recommend solutions that optimize storage.
Proposed Solution: Implement compaction jobs to combine small files into larger files.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
Depending on what services and workloads are using the data, a good size to consider for files is 256 MB or greater. If the file sizes cannot be batched when landing in Data Lake Storage Gen1, you can have a separate compaction job that combines these files into larger ones.
Note: POSIX permissions and auditing in Data Lake Storage Gen1 comes with an overhead that becomes apparent when working with numerous small files. As a best practice, you must batch your data into larger files versus writing thousands or millions of small files to Data Lake Storage Gen1. Avoiding small file sizes can have multiple benefits, such as:
Lowering the authentication checks across multiple files
Reduced open file connections
Faster copying/replication
Fewer files to process when updating Data Lake Storage Gen1 POSIX permissions References:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-best-practices