Do you know anything about the Oracle Database Machine? Would you like to try this quiz? The Oracle Exadata Database Machine is a processing program optimized for running Oracle Databases. Exadata is a joint hardware and software program that includes scale-out Intel x86-64 compute and storage servers. If this piques your interest, you must put your knowledge to the test See moreand try this quiz.
Results of random reads.
Results of table scans.
Write to a mirror
Redo data
All data is cached In the Flash Cache
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Load compressed files with Direct Path loading.
Sort incoming data on a column with a low cardinality.
Use DBFS and external flies to load the data.
Use Data Pump to load data.
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You can manage workloads within a database with Database Resource Manager.
You can manage workloads across multiple databases with Database Resource Manager
You can manage workloads within a database with I/O Resource Manager
You cannot manage workloads across multiple databases
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You use RMAN.
You back up the software files using an operating system method
You do a complete copy of their system storage area.
You do not need to backup this software, as there is an automated recovery mechanism built into each cell.
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A grid disk must use all of a cell disk.
A grid disk can only use portions of a cell disk across all cells.
A grid disk can use portions of a cell disk on a subset of cells.
A grid disk can span multiple Exadata Storage Server cells.
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Storage plan
Category plan
Inter-database plan
Intra-database plan
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The role specified for the category
The role specified for the user
The role specified In a Data Guard environment
The role specified for the application
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Nothing
The cell must be rebooted.
You must alter ASM to alert IT
You must recreate any grid disks that use the drive
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Nothing
Exadata Smart Flash Cache expands the allocation to hold the objects
Not all objects will be stored in Exadata Smart Flash Cache
Overall performance is increased as more objects fit into Exadata Smart Flash Cache
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CELL_FLASH_CACHE attribute on the data object
CACHE hint In the SQL statement
Data from a table scan
Small data less than 128 KBs
Control file I/Os
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Create a grid disk for every table space
Create two grid disks, one for data and one for recovery
Create two grid disks, one for tables and one for Indexes
Create a grid disk for each table
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Based on the priority of the user
Immediately
Based on the resource group of the user
Based on the intradatabase resource plan
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Offload processing allows PL/SQL functions to be executed on the Exadata Storage Server
Offload processing aggregates SQL processing into higher level functions, which are shipped to the Exadata Storage Server
Offload processing moves some processing closer to the stored data, which allows the Exadata Storage Server to return only the rows and columns requested
Offload processing is just marketing - it provides no real advantage
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Through flash cache.
Through the Infiniband switch
Through onboard memory
There is never any cell-to-cell communication in an Exadata Storage Server
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A Quarter Rack, with 20 TB storage
A Half Rack, with 50 TB raw storage
A Full Rack, with 100 TB of raw storage
You should try to talk your customer into using High Capacity disk
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The Exadata Storage Server can select rows based on column values listed in a SQL predicate
Storage indexes are built on columns for use in filtering
Only necessary columns are returned to the database server
Column filtering is a marketing term, not a real benefit
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CELLSRV
IORM
OEL
ASM
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1
2
3
4
0
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Flash Cache
IORM
ASM
RAC
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384TB
1TB
2.6TB
5.3TB
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Root
Celladmin
Cellmonitor
Celldi
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Hardware in the database servers
Software in the database servers
Software in the Exadata Storage Server
Hardware in the Exadata Storage Server
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Stores minimum and maximum values for a 1 MB region
Can be used to eliminate cells from queries
Is a standard database index
Persists through a cell reboot
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Production over Test and OLTP over maintenance
OLTP over maintenance and control-file I/Os over database writes
Apply operations over read-only queries on standby databases and control-file I/Os over database writes
Apply operations over read-only queries on standby databases and OLTP over maintenance
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Use transportable table spaces to migrate data to the new environment
Use Data Guard logical standby to reproduce data on the new system
Use Data Guard physical standby to migrate data to the new system
Use ASM to rebalance data from the old system to the new system
Use Data Pump to move data to the new system
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There is no difference - they are different names for the same thing.
The Database Smart Cache can only work on Oracle Exadata Database Machines
The Exadata Flash Cache can only work on Oracle Exadata Database Machines
You can pin tables into the Database Smart Cache
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One per Exadata cell
One per Exadata Storage Server
One per DBRM resource group
One per IORM category
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Set the IORM parameter to TRUE
Manually set the RESOURCE_MANAGER_PLAN parameter with the ALTER SYSTEM statement
Activate IORMPLAN on each of the target Exadata cells
Activate IORMPLAN for ASM
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Partitioning
Parallelism
Storage Indexes and Predicate Filtering
Database Resource Manager
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All the time
When there are IORM resource plans in place
When there are more than one resource group for a cell
When I/O requests start to saturate the cell
When I/O requests start to saturate the cell and there is more than one resource group defined for the cell
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24 GB
72 GB
256 GB
384 GB
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You only have to drop and add the disk.
You have to drop and add the disk and then rebalance data onto it.
Nothing.
Fast resynch on the disk happens automatically.
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Tell the customer that when they need more storage, the underlying hardware will be faster so they will not have to worry.
Tell the customer they can always move from SATA storage to SAS storage for better performance.
Tell the customer that some performance degradation is inevitable in any architecture.
Tell the customer that the balanced hardware configuration of the Exadata Storage Server prevents this from happening.
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12 Flash-based cell disks, 12 disk-based cell disks
16 Flash-based cell disks, 16 disk-based cell disks
16 Flash-based cell disks, 12 disk-based cell disks
12 Flash-based cell disks, 16 disk-based cell disks
No Flash-based cell disks, 12 disk-based cell disks
Updates to the Exadata Server software
Executing distributed CU commands
Executing CELLCLI
Interaction with the EM Exadata plug-in
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Based on Database Manager Resource Groups
Based on an Intra-database Plan
Based on a Category Plan
Based on the priority of the background process
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Yes, but only If you use Hybrid Columnar Compression
Yes, but tables or partitions that use Hybrid Columnar Compression will not be immediately accessible
Yes, but only if you do not allow Smart Scans with the Oracle Exadata Database Machine.
No
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You don’t - this customer is not appropriate for the Oracle Exadata Database Machine. Move on
You explain that offload processing works with the same SQL in packaged applications as it does in ad hoc queries
You explain that they can use stored plans to for packaged applications to modify the SQL so that it can perform well with the Oracle Exadata Database Machine.
You try to get them to understand the benefits provided for data warehousing on the same data.
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Flash Cache
IORM
ASM
RAC
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You will add Indexes to your tables for better performance
You should consider implementing a different partitioning strategy.
You should consider reducing the number of materialized views.
You should make the extents larger, such as 8 MBs.
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10
20
50
80
90
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Suggest that this is a great time to upgrade all their databases to RAC, since an Oracle Exadata Database Machine has to have either all RAC or no RAC databases.
Divide the Oracle Exadata Database Machine up into two equal partitions, using one for RAC and the other for their single instance databases.
You can assign databases to database servers in any way, regardless of whether the database is RAC or single instance
Migrate all databases to single instance databases since they always provide better performance on a Oracle Exadata Database Machine
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Block requests
A command representing the SQL statement
The filtering predicates from the current SQL statement
Statistics on data usage
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ALTER CELL, CREATE CELLDISK, CREATE GRIDDISK, CALIBRATE
ALTER CELL, CREATE GRIDDISK, CREATE CELLDISK, CALIBRATE
CREATE GRIDDISK, CREATE CELLDISK, CALIBRATE, ALTER CELL
CALIBRATE, CREATE GRIDDISK, CREATE CELLDISK, ALTER CELL
CALIBRATE, ALTER CELL, CREATE GRIDDISK, CREATE CELLDISK
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None - they are created by default
Issue the CREATE DISK... FLASHDISK command after initial setup of the cell
Issue DROP FLASHCACHE and then CREATE GRIDDISK FLASHDISK commands
Issue the DROP FLASHCACHE and CREATE FLASHCELLDISK commands
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Root
Celladmin
Cellmonitor
CellCLI
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Conflicting workloads, both of which are latency sensitive.
Conflicting workloads, both of which are throughput sensitive.
When I/O is a bottleneck.
When CPU is a bottleneck.
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Ratio
Priority
Hybrid
Disk-based
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