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NEW QUESTION: 1
Which two statements correctly describe the relationship among the Scheduler components: job, program, and schedule? (Choose two)
A. A program can be used in the definition of multiple jobs
B. A job is specified as part of a program definition
C. A program and job can be specified as part of a schedule definition
D. A program and schedule can be specified as part of a job definition
Answer: A,D
Explanation:
Programs
A program object (program) describes what is to be run by the Scheduler. A program includes:
A program is a separate entity from a job. A job runs at a certain time or because a certain event occurred, and invokes a certain program. You can create jobs that point to existing program objects, which means that different jobs can use the same program and run the program at different times and with different settings. With the right privileges, different users can use the same program without having to redefine it. Therefore, you can create program libraries, where users can select from a list of existing programs. If a stored procedure or external executable referenced by the program accepts arguments, you define these arguments in a separate step after creating the program. You can optionally define a default value for each argument. Oracle Scheduler Program objects (programs) contain metadata about the command that the Scheduler will run, including default values for any arguments. Schedule objects (schedules) contain information about run date and time and recurrence patterns. Job objects (jobs) associate a program with a schedule. To define what is executed and when, you assign relationships among programs, schedules, and jobs. A job is the combination of a schedule and a program, along with any additional arguments required by the program.
NEW QUESTION: 2
한 회사에 20PB HDFS 데이터베이스가 있는 대규모 온 프레미스 Apache Hadoop 클러스터가 있습니다. 클러스터는 약 200 개의 인스턴스와 1PB 씩 분기마다 증가하고 있습니다. 회사의 목표는 Hadoop 데이터의 복원력을 활성화하고 클러스터 노드 손실의 영향을 제한하며 비용을 크게 줄이는 것입니다. 현재 클러스터는 연중 무휴 24 시간 실행되며 대화 형 쿼리 및 일괄 처리를 포함한 다양한 분석 워크로드를 지원합니다.
최소한의 비용과 다운 타임으로 이러한 요구 사항을 충족하는 솔루션은 무엇입니까?
A. AWS Snowball을 사용하여 기존 클러스터 데이터를 Amazon S3로 마이그레이션 합니다. 온 프레미스 클러스터의 기록 데이터를 기반으로 대화 형 워크로드를 처리하도록 초기에 크기가 조정 된 영구 Amazon EMR 클러스터를 생성합니다. EMRFS에 저장하십시오. 마스터 및 코어 노드 용 예약 인스턴스와 작업 노드 용 스팟 인스턴스, Amazon CloudWatch 지표를 기반으로 작업 노드 자동 확장을 사용하여 비용을 최소화합니다. 유사하게 최적화 된 배치 워크로드를 위해 작업별로 최적화 된 클러스터를 생성합니다.
B. AWS Snowmobile을 사용하여 기존 클러스터 데이터를 Amazon S3로 마이그레이션합니다. 온 프레미스 클러스터의 기록 데이터를 기반으로 대화 형 워크로드를 처리하도록 초기에 크기가 조정 된 영구 Amazon EMR 클러스터를 생성합니다. EMRFS에 데이터를 저장합니다. 마스터 및 코어 노드 용 예약 인스턴스와 작업 노드 용 스팟 인스턴스, Amazon CloudWatch 지표를 기반으로 작업 노드 자동 확장을 사용하여 비용을 최소화합니다. 유사하게 최적화 된 배치 워크로드를 위해 작업별로 최적화 된 클러스터를 생성합니다.
C. AWS Direct Connect를 사용하여 기존 클러스터 데이터를 Amazon S3로 마이그레이션합니다. 온 프레미스 클러스터의 기록 데이터를 기반으로 대화 형 워크로드를 처리하도록 초기에 크기가 조정 된 영구 Amazon EMR 클러스터를 생성합니다. EMRFS에 데이터를 저장합니다. 마스터 및 코어 노드 용 예약 인스턴스와 작업 노드 용 스팟 인스턴스, Amazon CloudWatch 지표를 기반으로 작업 노드 자동 확장을 사용하여 비용을 최소화합니다. 유사하게 최적화 된 배치 워크로드를 위해 작업별로 최적화 된 클러스터를 생성합니다.
D. AWS Snowmobile을 사용하여 기존 클러스터 데이터를 Amazon S3로 마이그레이션 합니다. 현재 클러스터와 크기 및 구성이 유사한 영구 Amazon EMR 클러스터를 생성합니다. EMRFS에 데이터를 저장합니다. 예약 인스턴스를 사용하여 비용을 최소화 하십시오. 워크로드가 분기마다 증가함에 따라 추가 예약 인스턴스를 구매하고 클러스터에 추가하십시오.
Answer: B
NEW QUESTION: 3
Refer to the exhibit.
Service provider SP 1 is running the MPLS-VPN service. The MPLS core network has MPBGP configured with RR-1 as route reflector. What will be the effect on traffic between PE1 and PE2 if router P1 goes down?
A. All traffic will be lost because RR-1 will lose the MP-BGP sessions to PE-1 and PE-2.
B. No effect, because P1 was not the only P router in the forwarding path of traffic.
C. No effect, because all traffic between PE1 and PE2 will be rerouted through P2.
D. No effect, because RR-1 will find an alternative path for MP-BGP sessions to PE-1 and PE-2.
Answer: A
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