1Z0-117 · Question #100
Which two are benefits of In-Memory Parallel Execution?
The correct answer is A. Reduction in the duplication of block images across multiple buffer caches C. Reduction in the number of blocks accessed. Note: In-Memory Parallel Execution When the parameter PARALLEL_DEGREE_POLICY is set to AUTO, Oracle Database decides if an object that is accessed using parallel execution would benefit from being cached in the SGA (also called the buffer cache). The decision to cache an object…
Question
Which two are benefits of In-Memory Parallel Execution?
Options
- AReduction in the duplication of block images across multiple buffer caches
- BReduction in CPU utilization
- CReduction in the number of blocks accessed
- DReduction in physical I/O for parallel queries
- EAbility to exploit parallel execution servers on remote instance
How the community answered
(53 responses)- A77% (41)
- B13% (7)
- D2% (1)
- E8% (4)
Explanation
Note: In-Memory Parallel Execution When the parameter PARALLEL_DEGREE_POLICY is set to AUTO, Oracle Database decides if an object that is accessed using parallel execution would benefit from being cached in the SGA (also called the buffer cache). The decision to cache an object is based on a well-defined set of heuristics including the size of the object and frequency on which it is accessed. In an Oracle RAC environment, Oracle Database maps pieces of the object into each of the buffer caches on the active instances. By creating this mapping, Oracle Database automatically knows which buffer cache to access to find different parts or pieces of the object. Using this information, Oracle Database prevents multiple instances from reading the same information from disk over and over again, thus maximizing the amount of memory that can cache objects. If the size of the object is larger than the size of the buffer cache (single instance) or the size of the buffer cache multiplied by the number of active instances in an Oracle RAC cluster, then the object is read using direct- path reads. Reference: Oracle Database VLDB and Partitioning Guide 11g, How Parallel
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