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QUESTION NO: 1
Which three statements are true about bulk data loading capabilities in an X5 Database
Machine environment?
A. DBFS may be used if Exadata-based shared storage is required to stage data before bulk loading into a database.
B. DBFS must use the DBFS_DG diskgroup for any DBFS store.
C. DBFS must be used to bulk load data into a production database on the Database Machine.
D. DBFS must be used to have a POSIX-compliant shared storage solution that is accessible from the database servers on a Database Machine.
E. ACFS may use the DBFS_DG diskgroup to contain the ADVM volume file.
F. ACFS may be used if Exadata-based shared storage is required to stage data before bulk loading into a database.
G. ACFS must be used to have a POSIX-compliant shared storage solution that is accessible from the database servers on a Database Machine.
Answer: A,C,D
Explanation:
External tables on DBFS file-systems provide the probably the most high-performance way to bulk load data into your database.
Bulk Data Loading
Describe the various options for staging data to be bulk loading into Database Machine Configure the
Database File System (DBFS) feature for staging input data files Use external tables based on input data files stored in DBFS to perform high-performance data loads

QUESTION NO: 2
Which three statements are true about Recovery Manager (RMAN) daily differential incremental backup strategies on an X5 Database Machine for a database having 25% or more of its blocks modified each day and which has an 8 k block size?
A. For level-0 backups, Block Change Tracking (BCT) is most beneficial when more than 25 percent of the blocks have changed since the last backup.
B. cellsrv returns only blocks that have changed since the last backup.
C. Enabling Block Change Tracking (BCT) on the database can result in a reduction of physical I/O on the cells during incremental backups.
D. For level-1 backups, Block Change Tracking (BCT) is most beneficial when more than 25 percent of the blocks have changed since the last backup.
E. Fast incremental backups when 50% or more of the blocks have changed since the last backup, will run as slowly as normal incremental backup.
F. Enabling Block Change Tracking (BCT) on the database can result in reduced consumption of storage network bandwidth.
Answer: B,C,E
Explanation:
A: Fast Incremental backups is possible with Block change tracking, which is initially introduced from version 10.2 onwards, by this tool it's very useful to reduce the RMAN incremental backup duration.
If the changes are something around 20% then in this situation BCT helps a lot.
C: Exadata Storage Server offload capability combined with RMAN block change tracking will efficiently perform large I/Os at the storage-tier level, returning only individual changed blocks for incremental backups and increasing the backup performance of the system.
Note: Level 1 backup: A level 1 backup includes only those blocks that have been changed since the
"parent" backup was taken. Remember a parent backup may be either a level 0 or a level 1 backup.
Block change tracking allows indeed the highest benefit for databases where the changes are not so high, Level 0 backup: A level 0 incremental backup is physically identical to a full backup and it includes every data block in the file except empty blocks. The only difference is that the level 0 backup is recorded as an incremental backup in the RMAN repository, so it can be used as the parent for a level 1 backup.
References:
http://www.dba-oracle.com/t_rman_backup_types.htm
http://www.oracle.com/technetwork/database/availability/maa-tech-wp-sundbm-backup-11202-
183503.pdf
https://www.toadworld.com/platforms/oracle/w/wiki/11124.fast-incremental-backups-active-data- guard

QUESTION NO: 3
You plan to migrate an existing production database supporting online transaction processing
(OLTP) workloads to an X6 Exadata Database Machine.
The database currently supports an application requiring fast response times to satisfy stringent business requirements, and most of the application queries use indexed access to tables.
For which two cases would you consider dropping indexes that are not used for constraints after the migration to assure that Smart Scans occur?
A. if Smart Scan performs better that any type of index scan on the corresponding table.
B. if Smart only occur instead of index range scans on the corresponding table.
C. if Smart only occur instead of index skip scans on the corresponding table.
D. if Smart Scans performs equally well to any type of index scan on the corresponding table.
Answer: A,B

QUESTION NO: 4
Which two completely prevent a Smart Scan from occurring?
A. performing a minimum or maximum function on an indexed column
B. querying a table containing a JSON column
C. referencing more than 255 columns form an OLTP compressed table in a query
D. performing a Fast Full Index scan on a reverse key index
E. querying a table containing many migrated rows
F. querying a table containing many chained rows
Answer: C,E
Explanation:
B: Migrated Rows is a special case of chained rows. Migrated rows still affect performance, as they do in conventional storage situations, but with the additional overhead of reducing the beneficial effects of "Smart Scan" in addition to increasing the number of I/Os E: Smart Scans - broadly speaking and ignoring edge cases - can only transport a maximum of 254 columns from a single (non-HCC) segment.
Requesting more columns will simply disable Smart Scans for that segment.
An interesting limitation to Exadata Smart Scans - if more than 254 columns from a table (not HCC compressed, more on that in moment) need to be projected, Smart Scans for that particular segment will be disabled and Exadata will fall back to conventional I/O. This means that the number of columns in the projection clause can make a significant difference to performance, since only Smart
Scans allow taking advantage of offloading and particularly avoiding I/O via Storage Indexes.

QUESTION NO: 5
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 flash cache compression technique
B. Superior compression capability designed specifically for archival data
C. Superior compression capability designed specifically for OLTP workloads
D. Cell offload processing for indexed-organized table access
E. Superior compression capability designed specifically for data warehouse tables
F. Columnar storage capability for data in row major data blocks that is held in flash cache
Answer: B,C,E
Explanation:
There are 6 different kinds of Table Data Compression methods:

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Updated: May 28, 2022