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Oracle 1Z0-084 (Oracle Database 19c Performance and Tuning Management) Certification Exam is designed to test the knowledge and skills of database administrators and performance tuning experts in managing, monitoring, and optimizing performance in Oracle Database 19c environments. Oracle Database 19c Performance and Tuning Management certification exam is ideal for professionals who want to demonstrate their expertise in performance tuning, troubleshooting, and management of Oracle database systems. Passing 1z1-084 Exam validates your ability to effectively manage and optimize database performance, which is a critical requirement for businesses that rely on Oracle database systems to run their operations.

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Oracle Database 19c Performance and Tuning Management Sample Questions (Q43-Q48):

NEW QUESTION # 43
Which three statements are true about tuning dimensions and details of v$sys_time_model and DB time?

A. DB Time accounts for all time used by background processes and user sessions.
B. Statspack cannot account for high CPU time when CPU TIME is a Top 10 event in DB time. When CPU time is high, SQL tuning may improve performance.
C. Parse Time Elapsed accounts for successful soft and hard parse operations only.
D. When WAIT TIME is high, instance tuning may improve performance.
E. Systems in which CPU time is dominant need more tuning that those in which WAIT TIME is dominant.
F. The proportion of WAIT TIME to CPU TIME always increases with increased system load.

Answer: A,B,D

Explanation:
A: Statspack is a performance diagnostic tool that can help identify high CPU usage issues. High CPU time may indicate that SQL statements need to be tuned for better performance.
D: High wait times can often be reduced by instance tuning, such as adjusting database parameters or improving I/O performance.
F: DB Time is a cumulative time metric that includes the time spent by both user sessions and background processes executing database calls.References:
* Oracle Database Performance Tuning Guide, 19c
* Oracle Database Concepts, 19c

NEW QUESTION # 44
Database performance has degraded recently.
index range scan operations on index ix_sales_time_id are slower due to an increase in buffer gets on sales table blocks.
Examine these attributes displayed by querying DBA_TABLES:

Now, examine these attributes displayed by querying DBA_INDEXES:

Which action will reduce the excessive buffer gets?

A. Partition index IX_SALES_TIME_ID using hash partitioning.
B. Re-create index IX_SALES_TIME_ID using ADVANCED COMPRESSION.
C. Re-create the SALES table sorted in order of index IX_SALES_TIME_ID.
D. Re-create the SALES table using the columns in IX_SALES_TIME_ID as the hash partitioning key.

Answer: B

Explanation:
Given that index range scan operations on IX_SALES_TIME_ID are slower due to an increase in buffer gets, the aim is to improve the efficiency of the index access. In this scenario:
* B (Correct): Re-creating the index using ADVANCED COMPRESSION can reduce the size of the index, which can lead to fewer physical reads (reduced I/O) and buffer gets when the index is accessed, as more of the index can fit into memory.
The other options would not be appropriate because:
* A (Incorrect): Re-creating the SALES table sorted in order of the index might not address the issue of excessive buffer gets. Sorting the table would not improve the efficiency of the index itself.
* C (Incorrect): Using the columns in IX_SALES_TIME_ID as a hash partitioning key for the SALES table is more relevant to data distribution and does not necessarily improve index scan performance.
* D (Incorrect): Hash partitioning the index is generally used to improve the scan performance in a parallel query environment, but it may not reduce the number of buffer gets in a single-threaded query environment.
References:
* Oracle Database SQL Tuning Guide: Managing Indexes
* Oracle Database SQL Tuning Guide: Index Compression

NEW QUESTION # 45
You need to transport performance data from a Standard Edition to an Enterprise Edition database. What is the recommended method to do this?

A. Export the data by using expdp from the ftatspack repository and import it by using impdp into the AWR repository.
B. 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.
C. Export the data by using expdp from Statspack and import it by using $ORACLE_HOME/rdbms/admin
/awrload into the AWR repository.
D. 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.

Answer: B

Explanation:
To transport performance data from an Oracle Database Standard Edition, which uses Statspack, to an Enterprise Edition database, which uses AWR, you must consider the compatibility of data structures and repository schemas between these tools. The recommended method is:
* D (Correct): Export the data using the exp utility with a parameter file appropriate for Statspack (like spuexp.par) from the Statspack repository and import it into a dedicated Statspack schema on the destination. Since Statspack and AWR use different schemas, it's not recommended to import Statspack data directly into the AWR repository.
The other options are incorrect because:
* A (Incorrect): expdp is not designed to export from Statspack, and awrload is intended for loading from an AWR export file, not a Statspack export.
* B (Incorrect): Although expdp and impdp are used for exporting and importing data, the AWR repository schema is different from the Statspack schema, so importing Statspack data directly into the AWR repository is not recommended.
* C (Incorrect): Using expdp to export from Statspack and then importing directly into the AWR repository is not the correct approach due to the schema differences between Statspack and AWR.
References:
* Oracle Database Performance Tuning Guide: Migrating from Statspack to AWR

NEW QUESTION # 46
The CURS0R_SHARING and OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES parameters are set to default. The top five wait events in an awr report are due to a large number of hard parses because of several almost identical SQL statements.
Which two actions could reduce the number of hard parses?

A. Increase the size of the library cache.
B. Set the CURSOR_SHARING parameter to FORCE.
C. Create the RECYCLE cache and cache tables accessed by the SQL statements.
D. Create the KEEP cache and cache tables accessed by the SQL statements.
E. Set OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE.

Answer: A,B

Explanation:
To reduce the number of hard parses due to several almost identical SQL statements, you can take the following actions:
* C (Correct): Increasing the size of the library cache can help reduce hard parses by providing more memory to store more execution plans. This allows SQL statements to be shared more effectively.
* E (Correct): Setting the CURSOR_SHARING parameter to FORCE will cause Oracle to replace literals in SQL statements with bind variables, which can significantly reduce the number of hard parses by making it more likely that similar SQL statements will share the same execution plan.
The other options do not directly impact the number of hard parses:
* A (Incorrect): Creating the KEEP cache and caching tables accessed by the SQL statements can improve performance for those tables, but it does not directly reduce the number of hard parses.
* B (Incorrect): Creating the RECYCLE cache and caching tables accessed by the SQL statements can make it more likely that objects will be removed from the cache quickly, which does not help with hard parse issues.
* D (Incorrect): Setting OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE can help stabilize SQL execution plans but will not reduce the number of hard parses. This parameter is used to automatically capture SQL plan baselines for repeatable SQL statements, which can prevent performance regressions due to plan changes.
References:
* Oracle Database Performance Tuning Guide: Minimizing Hard Parses
* Oracle Database SQL Tuning Guide: CURSOR_SHARING

NEW QUESTION # 47
Which two statements are true about session wait information contained in v$session or v$session_wait?

A. Rows for sessions that are currently waiting have a wait time of 0.
B. Rows for sessions that are not waiting might contain the actual wait time for the last event for which they waited.
C. Rows for sessions displaying WAITED UNKNOWN TIME in the STATE column indicate that the session is still waiting.
D. Rows for sessions that are not waiting always contain the total wait time since the session started.
E. Rows for sessions that are currently waiting have their wait time incremented every microsecond.

Answer: A,B

Explanation:
In theV$SESSIONview, Oracle provides information about the session waits:
B: When theWAIT_TIMEcolumn has a value of 0, it signifies that the session is currently waiting for a resource. This column represents the duration of the current or last wait.
C: If the session is not actively waiting, theWAIT_TIMEcolumn shows the time the session spent waiting for the last wait event. If theSTATEcolumn is showing "WAITED KNOWN TIME", it means the session is not currently waiting, but it indicates the time for which it had waited.
References:
* Oracle Database Reference, 19c
* Oracle Database Performance Tuning Guide, 19c

NEW QUESTION # 48
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