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NEW QUESTION: 1
You cannot set an aging time for the blacklist of the Eudemon.
A. True
B. False
Answer: B

NEW QUESTION: 2

A. Data Tools
B. Distributed Replay
C. Upgrade Advisor
D. Migration Assistant
Answer: C

NEW QUESTION: 3
You have attended a user group presentation on RAC and based on what you have learned you feel that your company would benefit from having the RAC option to meet its Oracle database requirements in several ways. Your manager does not know much about RAC and asks you to create a presentation to the team explaining RAC, and whether it should be implemented in your installation. Which three statements explain the benefits and implications of RAC? (Choose three.)
A. RAC would increase availability in the event of data failures.
B. RAC used in conjunction with parallel execution may provide for speedup of OLTP workload processes.
C. RAC would increase availability in the event of a network failure.
D. RAC alone would increase availability when doing release upgrades.
E. RAC used in conjunction with parallel execution may provide speedup of DSS queries.
F. RAC alone would not help protect from human errors.
G. RAC would increase availability in the event of node and instance failures.
H. RAC would increase scalability for all application workloads in all cases.
Answer: E,F,G

NEW QUESTION: 4
You want to capture column group usage and gather extended statistics for better cardinality estimates for
the customers table in the SH schema.
Examine the following steps:
1. Issue the SELECTDBMS_STATS. CREATE_EXTENDED_STATS('SH', 'CUSTOMERS')from dual
statement.
2.Execute the dbms_stats.seed_col_usage (null,'SH',500) procedure.
3.Execute the required queries on the customers table.
4.Issue the select dbms_stats.reportwcol_usage('SH', 'customers') from dual statement.
Identify the correct sequence of steps.
A. 3, 2, 1, 4
B. 4, 1, 3, 2
C. 3, 2, 4, 1
D. 2, 3, 4, 1
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Step 1 (2). Seed column usage
Oracle must observe a representative workload, in order to determine the appropriate column groups.
Using the new procedure DBMS_STATS.SEED_COL_USAGE, you tell Oracle how long it should observe
the workload.
Step 2: (3) You don't need to execute all of the queries in your work during this window. You can simply
run explain plan for some of your longer running queries to ensure column group information is recorded
for these queries.
Step 3. (1) Create the column groups
At this point you can get Oracle to automatically create the column groups for each of the tables based on
the usage information captured during the monitoring window. You simply have to call the
DBMS_STATS.CREATE_EXTENDED_STATS function for each table.This function requires just two
arguments, the schema name and the table name. From then on, statistics will be maintained for each
column group whenever statistics are gathered on the table.
Note:
* DBMS_STATS.REPORT_COL_USAGE reports column usage information and records all the SQL
operations the database has processed for a given object.
* The Oracle SQL optimizer has always been ignorant of the implied relationships between data columns
within the same table. While the optimizer has traditionally analyzed the distribution of values within a
column, he does not collect value-based relationships between columns.
* Creating extended statistics
Here are the steps to create extended statistics for related table columns
withdbms_stats.created_extended_stats:
1 - The first step is to create column histograms for the related columns.
2 - Next, we run dbms_stats.create_extended_stats to relate the columns together.
Unlike a traditional procedure that is invoked via an execute ("exec") statement, Oracle extended statistics
are created via a select statement.