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NEW QUESTION: 1
Examine the Exhibit.
Which two statements are true about the bloom filter in the execution plan?
A. The bloom filter prevents some rows from table T2 that do not join table T1 from being needlessly distributed.
B. The bloom filter is created in parallel by the set of parallel execution processes that scanned table T2.
C. The bloom filter is created in parallel by the set of parallel execution processes that scanned table T1.
D. The bloom filter prevents all rows from table T1 that do not join T2 from being needlessly distributed.
E. The bloom filter prevents all rows from table T2 that do not join table T1 from being needlessly distributed.
F. The bloom filter is created in parallel by the set of parallel execution processes that later perform join.
Answer: C,E
Explanation:
* PX JOIN FILTER CREATE The bloom filter is created in line 4.
* PX JOIN FILTER USE The bloom filter is used in line 11.
Note:
*You can identify a bloom pruning in a plan when you see :BF0000 in the Pstart and Pstop
columns of the execution plan and PART JOIN FILTERCREATE in the operations column.
*A Bloom filter is a probabilistic algorithm for doing existence tests in less memory than a
full list of keys would require. In other words, a Bloom filter is a method for representing a
set of n elements (also called keys) to support membership queries.
*The Oracle database makes use of Bloom filters in the following 4 situations:
-
To reduce data communication between slave processes in parallel joins: mostly in RAC
-
To implement join-filter pruning: in partition pruning, the optimizer analyzes FROM and WHERE clauses in SQL statements to eliminate unneeded partitions when building the partition access list
-
To support result caches: when you run a query, Oracle will first see if the results of that query have already been computed and cached by some session or user, and if so, it will retrieve the answer from the server result cache instead of gathering all of the database blocks
-
To filter members in different cells in Exadata: Exadata performs joins between large tables and small lookup tables, a very common scenario for data warehouses with star schemas. This is implemented using Bloom filters as to determine whether a row is a member of the desired result set.
NEW QUESTION: 2
Which of the following describes the characteristics of a Boot Sector Virus?
A. Overwrites the original MBR and only executes the new virus code
B. Modifies directory table entries so that directory entries point to the virus code instead of the actual program
C. Moves the MBR to another location on the hard disk and copies itself to the original location of the MBR
D. Moves the MBR to another location on the RAM and copies itself to the original location of the MBR
Answer: C
Explanation:
Explanation
A boot sector virus is a computer virus that infects a storage device's master boot record (MBR). The virus moves the boot sector to another location on the hard drive.
References: https://www.techopedia.com/definition/26655/boot-sector-virus
NEW QUESTION: 3
An IBM Technical Delivery Assessment must be completed. Where is this checklist located?
A. IBM Techline
B. Solution Assurance Library
C. System Storage Interoperability Center
D. Systems Storage Product Guide
Answer: B
NEW QUESTION: 4
Which type of DNS record is used for IPv6 forward lookups?
A. PTR records
B. MX records
C. A records
D. AAAA records
Answer: D
Explanation: