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Latest Oracle 1Z0-084 Exam Guide, Latest 1Z0-084 Test Sample

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Oracle 1Z0-084 certification is a valuable credential for professionals working with Oracle Database 19c. It demonstrates their expertise in managing and optimizing database performance, which is a critical aspect of maintaining a reliable and efficient database infrastructure. By earning this certification, candidates can enhance their career prospects and demonstrate their commitment to professional development and excellence.

The Oracle 1Z0-084 Exam Tests the candidates' understanding of various performance tuning concepts such as SQL tuning, memory management, database consolidation, and database partitioning. 1Z0-084 exam also covers the use of various tools and techniques for performance monitoring and tuning such as AWR reports, SQL trace, and Real-Time SQL Monitoring.

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Oracle 1Z0-084 Exam Syllabus Topics:

Topic
Details

Topic 1

Reducing the Cost of SQL Operations: This topic covers Shrinking Segments, Management of Chaining and Migration, and Configuration of Index and Table Performance Options. It also discusses configuration of table compression and diagnosis and tuning of space related issues.

Topic 2

Influencing the Optimizer: It explains the influence of statistics and parameters of configuration.

Topic 3

Using In-Memory Features: It focuses on the configuration and utilization of the In-Memory column store to improve SQL performance. The topic also discusses use of the In-Memory column store with other database features.

Topic 4

Using Log and Trace Files to Monitor Performance: This topic covers the use of Alert Log to Monitor Performance. Moreover, it also discusses usage of Trace files to Monitor Performance.

Topic 5

Identifying Problem SQL Statements: It focuses on the phases of SQL statement processing, usage of formatted output of SQL Trace, and assessment of Adaptive and Dynamic Execution plans. The topic also dives into the sub-topic which is related to Monitoring Automatic Reoptimization and SQL Plan Directives.

Topic 6

Using Automatic Memory Management: It covers the use of Automatic Memory Management in the Oracle database, including the configuration of Automatic Shared Memory Management and Automatic Memory Management.

Topic 7

Tuning the Buffer Cache: The topic addresses delves into diagnosing and resolving performance problems related to the buffer cache, as well as diagnosing database I
O issues. Additionally, the topic explains the configuration of Big Table Caching and Flash Cache.

Topic 8

Tuning the PGA: This section focuses on diagnosing and resolving performance issues related to the PGA, as well as addressing performance issues related to the temporary tablespace.

Topic 9

Tuning the Shared Pool: It covers the tuning of the shared pool in the Oracle database, including diagnosing and resolving performance problems related to the shared pool, as well as managing and tuning the result cache.

Topic 10

SQL Performance Management: This section focuses on the management of optimizer statistics, the use of the Optimizer Statistics Advisor, the leveraging of the SQL Access and SQL Tuning advisors to tune SQL statements, and the application of SQL Plan Management to improve SQL statement performance.

Topic 11

Basic Tuning Methods and Diagnostics: This section covers the key aspects of tuning methodologies, including the different phases of the tuning lifecycle, the time model used to understand performance, the concept of wait events, and the use of dynamic performance views to diagnose performance problems.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q42-Q47):

NEW QUESTION # 42
Examine this command:

What is the maximum number of baselines generated by this command that you can have at any given time?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
The DBMS_WORKLOAD_REPOSITORY.CREATE_BASELINE_TEMPLATE procedure is used to create a repeating baseline template in the Automatic Workload Repository (AWR). This template will generate baselines for a specified duration of time on a repeating schedule. The parameters of the CREATE_BASELINE_TEMPLATE procedure include the start and end times, as well as the day of the week and hour in the day when the baseline should be captured.
Given that the command specifies a repeating baseline every Monday at 5 PM with a duration of 3 hours and it expires after 30 days, the number of baselines generated by this command that you can have at any given time depends on how many Mondays fall within the most recent 30-day period.
Since the maximum number of Mondays that can occur within any 30-day period is 5 (four to five weeks), but considering the baseline has a duration of 3 hours and starts every Monday at 5 PM, only one baseline for each Monday can exist at a time. However, since baselines are preserved for 30 days, you could have multiple instances of Monday baselines preserved at a time.
* A (Incorrect): There can be more than one baseline at a time because the template will generate a baseline for every Monday during the 30-day expiration period.
* B (Incorrect): There will be more than three baselines because the template creates a baseline for every Monday within the 30-day expiration period.
* C (Correct): Over a 30-day period, considering the duration of the baselines and their frequency, you could have up to a maximum of 52 baselines if you consider the entire year.
* D (Incorrect): There is no option that restricts the number of baselines to 5 specifically, the answer relies on the calculation of how many baselines can exist over a period of time considering their expiration.
References:
* Oracle Database PL/SQL Packages and Types Reference: DBMS_WORKLOAD_REPOSITORY

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

A. When WAIT TIME is high, instance tuning may improve performance.
B. Parse Time Elapsed accounts for successful soft and hard parse operations only.
C. Systems in which CPU time is dominant need more tuning that those in which WAIT TIME is dominant.
D. 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.
E. The proportion of WAIT TIME to CPU TIME always increases with increased system load.
F. DB Time accounts for all time used by background processes and user sessions.

Answer: A,D,F

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
Multiple sessions are inserting data concurrently into a table that has an LOB column.
At some point in time, one of the sessions cannot find available space in the LOB segment and needs to allocate a new extent.
Which wait event will be raised in the other sessions that need space in the LOB column?

A. enq: HW - contention
B. enq: TX - allocate ITL entry
C. enq: SQ - contention
D. enq: TM - contention

Answer: A

Explanation:
When sessions concurrently insert data into a table with an LOB column and one session needs to allocate a new extent because it cannot find available space, the wait event associated with this contention is "enq: HW - contention". The HW stands for High Water Mark which is related to space allocation in the database segment. When a session needs to allocate a new extent, it may raise this wait event in other sessions that are also attempting to allocate space in the same LOB segment.
References
* Oracle Database 19c Reference Guide - enq: HW - contention

NEW QUESTION # 45
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?

A. Alert log
B. ASH report
C. SQL trace file automatically generated by the error
D. Session trace file SQL trace file automatically generated by the error

Answer: A

Explanation:
When an ORA-00060 deadlock error occurs, detailed information about the error and the deadlock graph are dumped into the alert log. This log contains a trace file name that you can use to find additional detailed information about the sessions involved in the deadlock and the SQL statements they were executing.
References:
* Oracle Database Administrator's Guide, 19c
* Oracle Database Error Messages, 19c

NEW QUESTION # 46
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 Statspack and import it by using
$ORACLE_HOME/rdbms/admin/awrload into the AWRrepository.
B. 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.
C. Export the data by using expdp from the ftatspack repository and import it by using impdp into the AWR repository.
D. 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.

Answer: D

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 theexputility 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):expdpis not designed to export from Statspack, andawrloadis intended for loading from an AWR export file, not a Statspack export.
* B (Incorrect):Althoughexpdpandimpdpare 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):Usingexpdpto 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 # 47
......

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