Try 1z1-084 Exam Valid Dumps with Instant Download Free Updates [Q25-Q39]

Rate this post

Try 1z1-084 Exam Valid Dumps with Instant Download Free Updates

1z1-084 Dumps First Attempt Guaranteed Success

Oracle 1Z0-084 Exam is ideal for database administrators, engineers, and architects who want to demonstrate their expertise in performance tuning and management of Oracle Database 19c. 1z1-084 exam curriculum covers several aspects such as tuning database parameters, optimizing memory usage, optimizing SQL statements, diagnosing and resolving performance issues, and many more. Obtaining the certification requires a thorough knowledge of both theoretical and practical aspects of performance optimization.

Q25. During which application lifecycle phase do you take baselines?

Testing

Migration or upgrade

Design and development

Deployment

Production

Q26. Accessing the SALES tables causes excessive db file sequential read wait events.
Examine this AWR except:

Now, examine these attributes displayed by querying dba_tables:

Finally, examine these parameter settings:

Which two must both be used to reduce these excessive waits?

Partition the SALES table.

Increase PCTFREE for the SALES table.

Re-create the SALES table.

Compress the SALES table.

Coalesce all sales table indexes.

Q27. Which two Oracle Database features use database services?

Oracle Automatic Reoptimization

Database Resource Manager

Oracle SQL Performance Management

Oracle SQL Tuning Advisor

Oracle Scheduler

Q28. Which two statements are true about cursor sharing?

Setting Cursor_sharing to FORCE can result in a plan that is suboptimal for the majority of values bound to a bind variable when executing a cursor with one or more bind variables.

Adaptive Cursor Sharing guarantees that a suboptimal plan will never be used on any execution of a SQL statement.

Setting optimizer_capture_sql_plan_baselines to TRUE loads all adaptive plans for the same statement into the cursor cache.

Setting cursor_sharing to EXACT prevents Adaptive Cursor Sharing from being used.

Adaptive Cursor Sharing requires histograms on filtered columns, used in equality predicates, to allow different execution plans to be generated for statements whose bound values would normally generate different plans at hard parse time.

Q29. You must configure and enable Database Smart Flash Cache for a database.
You configure these flash devices:

Examine these parameter settings:

What must be configured so that the database uses these devices for the Database Smart Flash Cache?

Set DB_FLASH_CACHE_SIZE to 192G and MEMORY_TARGET to 256G.

Set DB_FLASH_CACHE_SIZE parameter to 192G.

Disable Automatic Memory Management and set SGA_TARGET to 256G.

Set DB_FLASH_CACHE_SIZE to 256G and change device /dev/sdk to 128G.

Set DB_FLASH_CACHE_SIZE parameter to 128G, 64G.

Q30. You manage a 19c database with default optimizer settings.
This statement is used extensively as subquery in the application queries:
SELECT city_id FROM sh2.sales WHERE city_id=:Bl
You notice the performance of these queries is often poor and, therefore, execute:
SELECT city_id,COUNT(*) FROM sh2.sales GROUP BY city_id;
Examine the results:

There is no index on the CITY_ID column.
Which two options improve the performance?

Generate frequency histograms on the CITY__ID column.

Create an index on the CITY IP column.

Use a SQL Profile to enforce the appropriate plan.

Force the subquery to use dynamic sampling.

Activate the adaptive plans.

Q31. Which application lifecycle phase could be managed reactively?

Design and development

Upgrade or migration

Testing

Production

Deployment

Q32. A database instance is suffering poor I/O performance on two frequently accessed large tables.
No Big Table caching occurs in the database.
Examine these parameter settings:

Which are two actions either one of which will allow Big Table caching to occur?

Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 50

Setting DB_KEEP_CACHE_SIZE to at least 50M

Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25

Increasing DB_CACHESIZE to 1 G

Setting PARALLEL_DEGREE_POLICYADAPTIVE

Setting PARALLEL_DEGREE_POLICYAUTO

Q33. Which two statements are true about session wait information contained in v$session or v$session_wait?

Rows for sessions displaying WAITED UNKNOWN TIME in the STATE column indicate that the session is still waiting.

Rows for sessions that are currently waiting have a wait time of 0.

Rows for sessions that are not waiting might contain the actual wait time for the last event for which they waited.

Rows for sessions that are currently waiting have their wait time incremented every microsecond.

Rows for sessions that are not waiting always contain the total wait time since the session started.

Q34. You need to transport performance data from a Standard Edition to an Enterprise Edition database. What is the recommended method to do this?

Export the data by using expdp from Statspack and import it by using $ORACLE_HOME/rdbms/admin
/awrload into the AWR repository.

Export the data by using expdp from the ftatspack repository and import it by using impdp into the AWR repository.

Export the data by using the expdp utility and parameter file spuexp.par from the Statspack repository and import it by using impdp into Export the data by using expdp from the Statspack repository and import it by using impdp into the AWR repository.

Export the data by using the exp utility and parameter file spuexp.par from the Statspack repository and import it by using imp into a dedicated Statspack schema on the destination.

Q35. Users complain about slowness and session interruptions. Additional checks reveal the following error in the application log:

Which file has additional information about this error?

Alert log

ASH report

Session trace file SQL trace file automatically generated by the error

SQL trace file automatically generated by the error

Q36. Which three statements are true about using the in Memory (IM) column store?

It does not improve performance for queries using cached results of function evaluations on columns from the same table.

It does not improve performance for queries that use join groups on columns from different tables.

It can improve OLTP workload performance by avoiding the use of indexes.

It does not improve performance for queries using user-defined virtual column results.

It does not require all database data to fit in memory to improve query performance.

It improves performance for queries joining several tables using bloom filter joins.

Q37. Database performance degraded between 23:15 and 23:30 for the last three nights. The awr snapshot interval is one hour. The AODM report contains nothing about this performance problem.
With which tool can you further analyze this problem?

SQL Performance Analyzer

AWR Compare Periods report

SQL Tuning Advisor

Active Session History report

Q38. This error occurred more than four hours ago in the database:
ORA-04036 PGA memory used by theinstance exceedsPGA_AGGREGATE_LIMIT
You want to know which process and query were at fault.
Which two views should you use for this purpose?

DBA_HIST_ACTIVE_SESS_HISTORY

DBA_HIST_SQLSTAT

DBA_HIST_SQLTEXT

DBA_HIST_PGASTAT

DBA_HIST_PROCESS_MEM_SUMMARY

Q39. SGA_TARGET and PGA_AGGREGATE_TARGET are configured to nonzero values.
MEMORY_target is then set to a nonzero value but memory_MAX_TARGET is not set.
Which two statements are true?