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NEW QUESTION: 1
自動ストレージ管理（ASM）インスタンスに関して真となる記述はどれですか？
（2つを選択してください）
A. ASMインスタンスは、ASMBプロセスを使用して、ディスク・グループ内のディスクのリバランシングを行います
B. ASMインスタンスは、ASM制御ファイルをマウントします。
C. RDBMSインスタンスは、データベース・インスタンスの起動時にフォアグラウンド・プロセスとしてASMBを使用してASMインスタンスに接続されます。
D. 自動メモリー管理は、MEMORY_TARGETパラメーターが明示的に設定されていない場合でも、ASMインスタンスで使用可能になります
Answer: C,D

NEW QUESTION: 2

A. Option C
B. Option A
C. Option E
D. Option D
E. Option F
F. Option B
Answer: A,C

NEW QUESTION: 3
Why is the bandwidth requirement for sending video higher than the requirement for receiving video?
A. Receiving the video data traffic is specific to local capabilities.
B. Raw data needs to be compressed.
C. More information is sent within the multilayer frames.
D. The decoder gets the bitstream from the application layer.
Answer: C

NEW QUESTION: 4
온라인 사진 앨범 앱에는 고품질 디스플레이로 여러 화면 (예 : 데스크톱, 휴대 전화 및 태블릿)을 지원하는 주요 디자인 기능이 있습니다. 여러 버전의 이미지를 다른 해상도와 레이아웃으로 저장해야 합니다.
이미지 처리 Java 프로그램은 이미지 크기 및 형식에 따라 업로드 당 평균 5 초가 걸립니다. 각 이미지 업로드는 사용자, 앨범, 사진 레이블, 업로드 타임 스탬프와 같은 이미지 메타 데이터를 캡처합니다. 앱은 다음 요구 사항을 지원해야 합니다.
* 초당 수백 개의 사용자 이미지 업로드
* 최대 이미지 메타 데이터 크기 10MB
* 1KB의 최대 이미지 메타 데이터 크기
* 이미지 업로드 후 1 분 이내에 지원되는 모든 화면에서 최적화 된 해상도로 이미지가 표시됩니다. 이러한 요구 사항을 충족하기 위해 어떤 전략을 사용해야 합니까?
A. 이미지와 메타 데이터를 Amazon kinesis에 씁니다. Spark Streaming과 함께 Amazon Elastic MapReduce (EMR)를 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon에 저장
B. BLOB 데이터 형식의 이미지 및 메타 데이터 RDS를 씁니다. AWS Data Pipeline을 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3에, 메타 데이터를 앱 리포지토리 DB에 저장
C. 메타 데이터가 포함 된 이미지를 Amazon S3에 업로드 Lambda 기능을 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3에, 메타 데이터를 앱 리포지토리 DB에 저장
D. Amazon Kinesis에 이미지 및 메타 데이터 쓰기, Kinesis Client Library (KCL) 애플리케이션을 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3로, 메타 데이터를 앱 리포지토리 DB에 저장
Answer: A