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NEW QUESTION: 1
ストレージ管理者がUnityVSAを購入し、自分のESXiホストにストレージをプロビジョニングする方法についての推奨事項を尋ねています。 Dell EMCのベストプラクティスに基づいて、何をお勧めしますか？
A. シンプロビジョニング
B. 厚肉
C. シンプロビジョニングのEager Zeroed
D. 厚めの提供意欲喚起ゼロ
Answer: D
Explanation:
References: https://www.emc.com/collateral/white-papers/h15093-dell-emc-unity-best-practices-guide.pdf (p.11)

NEW QUESTION: 2
You take your database backups by using the RMAN media management interface (MMI).
Which two are true about the use of the RMAN MMI? (Choose two.)
A. You can use it to create image copies for entire file systems.
B. You can use it to create backup sets for database files.
C. You can use it to create proxy copies for database files.
D. You can use it to create image
E. You can use it to create proxy copies for entire file systems.
Answer: B,D

NEW QUESTION: 3
You plan to migrate a database supporting both DSS and OLTP workloads to your new X5 Database machine.
The workloads contain many complex aggregating functions and expensive joins on large partitioned tables in the DSS workload and indexed access for OLTP workloads.
Which three benefits accrue as a result of this migration?
A. Superior compression capability designed specifically for data warehouse tables
B. Columnar storage capability for data in row major data blocks that is held in flash cache
C. Superior compression capability designed specifically for archival data
D. Superior compression capability designed specifically for OLTP workloads
E. Superior flash cache compression technique
F. Cell offload processing for indexed-organized table access
Answer: A,C,D
Explanation:
Explanation/Reference:
There are 6 different kinds of Table Data Compression methods:
1. BASIC compression, introduced in Oracle 8 already and only recommended for Data Warehouse
2. OLTP compression, introduced in Oracle 11 and recommended for OLTP Databases as well
3. QUERY LOW compression (Exadata only), recommended for Data Warehouse with Load Time as a critical factor
4. QUERY HIGH compression (Exadata only), recommended for Data Warehouse with focus on Space Saving
5. ARCHIVE LOW compression (Exadata only), recommended for Archival Data with Load Time as a critical factor
6. ARCHIVE HIGH compression (Exadata only), recommended for Archival Data with maximum Space Saving
Incorrect Answers:
B:
1. BASIC compression, introduced in Oracle 8 already and only recommended for Data Warehouse
2. OLTP compression, introduced in Oracle 11 and recommended for OLTP Databases as well
3. QUERY LOW compression (Exadata only), recommended for Data Warehouse with Load Time as a critical factor
4. QUERY HIGH compression (Exadata only), recommended for Data Warehouse with focus on Space Saving
5. ARCHIVE LOW compression (Exadata only), recommended for Archival Data with Load Time as a critical factor
6. ARCHIVE HIGH compression (Exadata only), recommended for Archival Data with maximum Space Saving
Method 1 and 2 are working by compressing the rows inside of Oracle Blocks - the more redundant values inside the block, the better the compression ratio. OLTP compression might be used with Exadata Database Machine, because Exadata V2 is designed to support OLTP as well as Data Warehouse.
Methods 3 to 6 use Hybrid Columnar Compression (HCC), which is designed to achieve better compression ratios by organizing sets of rows into compression units and then detaching the columns from the rows and collecting them. It is more likely that the same columns store similar (redundant) data, therefore the compression ratio improves with HCC.
References: https://uhesse.com/2011/01/21/exadata-part-iii-compression/

NEW QUESTION: 4
회사에 온 프레미스, 다 계층 PHP 웹 응용 프로그램이 있으며, 최근 회사 발표로 인해 웹 트래픽이 급증하여 가동 중지 시간이 발생했습니다. 앞으로는 예측할 수없는 버스트를 유발할 유사한 발표가있을 것으로 예상되며 예상치 못한 트래픽 증가를 처리 할 수 있는 인프라 기능을 신속하게 개선 할 수 있는 방법을 찾고 있습니다. 응용 프로그램은 현재 2 개의 계층으로 구성됩니다. 웹 계층 (로드 밸런서 및 여러 Linux Apache 웹 서버로 구성됨)과 데이터베이스 계층은 MySQL 데이터베이스를 호스팅하는 Linux 서버를 호스팅합니다.
다음 중 짧은 시간 내에 응용 프로그램의 가용성을 향상시키는 동시에 전체 사이트 기능을 제공하는 시나리오는 무엇입니까?
A. AWS로 마이그레이션 :
온 프레미스 웹 서버를 AMI로 신속하게 변환하려면 VM Import / Export를 사용하십시오.
가져온 AMI를 사용하여 들어오는 트래픽을 기반으로 웹 계층을 확장하는 Auto Scaling 그룹을 생성합니다.
RDS 인스턴스와 온 프레미스 MySQL 서버간에 RDS 읽기 전용 복제본을 만들고 복제를 설정하여 데이터베이스를 마이그레이션합니다.
B. 온-프레미스 환경에서 트래픽을 오프로드합니다.
CIoudFront 배포를 설정하고 사용자 지정 오리진에서 객체를 캐시하도록 CloudFront를 구성하십시오.
오브젝트 캐시 동작을 사용자 정의하고 오브젝트가 캐시에 있어야하는 TTL을 선택하십시오.
C. 하이브리드 환경 :
EC2에서 웹 서버를 시작하는 데 사용할 수있는 AMI를 생성하십시오.
AMI를 사용하여 들어오는 트래픽을 기반으로 웹 계층을 확장하는 Auto Scaling 그룹을 생성합니다.
온 프레미스 웹 서버와 AWS에서 호스팅되는 서버 간의 트래픽 균형을 유지하려면 Elastic Load Balancing을 활용하십시오.
D. 장애 조치 환경 :
S3 버킷을 생성하고 웹 사이트 호스팅을 위해 구성하십시오.
영역 파일 가져 오기를 사용하여 DNS를 Route53으로 마이그레이션하고 Route53 DNS 장애 조치를 활용하여 S3 호스팅 웹 사이트로 장애 조치합니다.
Answer: B
Explanation:
설명:
사용자 지정 오리진을 통해 온 프레미스 웹 환경 앞에 CloudFront를 배치 할 수 있습니다 (오리진은 AWS에있을 필요는 없음). 이는 CloudFront가 캐시에서 벗어날 수있는 트래픽을 처리 할 수 있도록 하여 예기치 않은 트래픽 버스트를 방지하여 온 프레미스 웹 서버에서 일부로드를 제거합니다.