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1Z0-064 Test Syllabus & Oracle 1Z0-064 Technical Training - Oracle Database 12C: Performance Management And Tuning - Royalholidayclubbed
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1z0-064 PDF DEMO:
QUESTION NO: 1
Your database supports an OLTP system.
Examine the parameter values configured in your database:
The CUSTOMERS table contains 8,000 rows. The CUST_ID column is the primary key and the
COUNTRY_ID column contains only three possible values: 1111, 2222, and 3333.
You execute the commands:
SQL> EXECUTE DBMS_STATS.GATHER_TABLE_STATS('SH','CUSTOMERS');
PL/SQL procedure successfully completed.
SQL> CREATE INDEX COUNTRY_IDX ON CUSTOMERS (COUNTRY_ID);
Index created.
You then perform a series of INSERT, UPDATE, and DELETE operations on the table.
View the Exhibit to examine the query and its execution plan.
Which three options would improve the performance of the query? (Choose three.)
A. creating a histogram on the COUNTRY_ID column
B. creating a SQL profile
C. regathering statistics on the CUSTOMERS table
D. increasing the size of the PGA
E. creating a KEEP cache
F. creating a bitmap index on the COUNTRY_ID column
Answer: A,C,D
QUESTION NO: 2
In which three scenarios would you recommend the use of the SQL Performance Analyzer?
A. to identify SQL statements whose performance may have regressed due to a hardware upgrade
B. to identify SQL statements in an application whose performance may have regressed due to migration from Oracle Database 11g to 12c
C. to analyze the impact of using bind variables for syntactically similar SQL statements
D. to analyze the impact of network and interconnect changes on database workload
E. to analyze the impact of new indexes and materialized views on the SQL statements executed by an application
F. to identify SQL statements that require SQL profiles
Answer: A,D,F
QUESTION NO: 3
Which two statements are true about ADDM? (Choose two.)
A. It documents only those components and wait classes that are significantly impacting the performance of the database.
B. It first identifies the performance symptoms, and then refines them to reach the root cause with the singular aim of reducing the DB CPU metric.
C. It analyzes the performance of a database instance based on the time period covered by the most recent AWR snapshot, and generates recommendations based on hard-coded criteria.
D. It can analyze performance issues that occurred in past events provided they fall within the AWR retention period.
E. ADDM resource utilization and cost of analysis depends on the actual load on the database and the number of performance problems analyzed.
Answer: A,B
QUESTION NO: 4
Enable adaptive thresholds to detect the workload patterns and set different threshold values as a percentage of the maximum value.
Which option represents the required steps in the correct order? (Choose the best answer.)
A. 4, 5, 7
B. 5, 1, 6, 8
C. 2, 4, 3
D. 5, 7
E. 3, 4, 8
Answer: B
8. Examine the partial Activity Over Time section of an Active Session History (ASH) report:
Which two inferences are correct? (Choose two.)
A. In the second time slot, 0.14% of the time was spent on the CPU.
B. In the second time slot, five different sampled sessions were using the CPU.
C. In the second time slot, out of the nine sampled sessions connected to the database instance, only one sampled session was idle at the time of report generation.
D. In the first time slot, five different sampled sessions were connected to the database instance.
E. In the first time slot, only one sampled session was using the CPU.
Answer: A,D
QUESTION NO: 5
Your database supports an OLTP workload during the day and batch processing at night. You want to monitor performance metrics to detect any degradation of performance in both types of workloads over a time period of 30 days.
Examine this list of possible steps:
1. Create a fixed baseline.
2. Create a baseline template.
3. Create a new moving window baseline.
4. Increase the retention period default value to 30 days.
5. Increase the size of the existing moving window baseline to 30 days.
6. Create warning and critical alerts for the relevant metrics.
7. Enable adaptive thresholds to detect the workload patterns and specify a high-significance-level threshold type.
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Updated: May 28, 2022
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