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NEW QUESTION: 1
Which three types of files can be automatically placed in the flash recovery area (fast recovery area in 11g Release 2)? (Choose three.)
A. Archived redo log files
B. Control file autobackups
C. Alert log file
D. Server Parameter file (SPFILE)
E. Recovery Manager (RMAN) backup piece
Answer: A,B,E
Explanation:
http://www.pafumi.net/Flash_Recovery_Area.html The Flash Recovery Area (FRA) is a unified storage location for all recovery related files and activities in an Oracle database. By defining one init.ora parameter, all RMAN backups, archive logs, control file autobackups, and datafile copies are automatically written to a specified files system or ASM Disk Group. Oracle Press 1Z0-053 Exam Guide, Chapter 4: Creating RMAN Backups The following permanent items are stored in the flash recovery area:
-Control file: Oracle stores one copy of the control file in the flash recovery area during an
installation,
which specifies the flash recovery area.
-Online redo log files You can store one mirrored copy from each redo log file group in
the flash recovery area.
The following transient items are stored in the flash recovery area:
-Archived redo log files When you configure the flash recovery area, one set of archived
redo log files is stored in the flash recovery area.
-Flashback logs Flashback logs are stored in the flash recovery area when Flashback
Database is enabled.
-Control file automatic backups RMAN stores control file automatic backups in the flash
recovery area.
When RMAN backs up the first datafile, which is part of the SYSTEM tablespace, the control file is automatically included in the RMAN backup.
-Datafile copies When you use the RMAN command BACKUP AS COPY, the datafile copies are stored in the flash recovery area by default.
-
RMAN backupsets Files created with the BACKUP AS BACKUPSET command are stored in the flash recovery area.
-
RMAN files By default, RMAN uses the flash recovery area as a staging area for backup and recovery of the archive log files from disk or tape.
NEW QUESTION: 2
A. Option D
B. Option C
C. Option A
D. Option B
Answer: C,D
Explanation:
https://docs.vmware.com/en/VMware-vSphere/6.5/com.vmware.vsphere.virtualsan.doc/GUID-
4B738A10-4506-4D70-8339-28D8C8331A15.html
NEW QUESTION: 3
조직은 대량의 해시 태그 데이터 스트림을 실시간으로 처리해야 하며 특정 태그에 대한 통찰력을 얻으려면 데이터에 대해 사용자 지정 SQL 쿼리를 실행해야 합니다. 조직은 이 솔루션이 탄력적이어야 하고 클러스터를 관리하고 싶지 않습니다.
다음 중 어떤 AWS 서비스가 이러한 요구 사항을 충족합니까?
A. 아마존 레드 시프트
B. 아마존 아테나
C. Amazon Kinesis Data Analytics
D. Amazon Elasticsearch Service
Answer: C
Explanation:
Explanation
The streaming source for your application. You can select either a Kinesis data stream or a Kinesis Data Firehose data delivery stream as the streaming source. In the input configuration, you map the streaming source to an in-application input stream. The in-application stream is like a continuously updating table upon which you can perform the SELECT and INSERT SQL operations. In your application code, you can create additional in-application streams to store intermediate query results.
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or build entire streaming applications using templates and an interactive SQL editor. Java developers can quickly build sophisticated streaming applications using open source Java libraries and AWS integrations to transform and analyze data in real-time. Amazon Kinesis Data Analytics takes care of everything required to run your real-time applications continuously and scales automatically to match the volume and throughput of your incoming data. With Amazon Kinesis Data Analytics, you only pay for the resources your streaming applications consume. There is no minimum fee or setup cost.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works.html