NEW 1Z1-084 TEST QUESTIONS & 1Z1-084 PASS EXAM

New 1z1-084 Test Questions & 1z1-084 Pass Exam

New 1z1-084 Test Questions & 1z1-084 Pass Exam

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Oracle 1Z0-084 exam covers a wide range of topics, including performance analysis and tuning, resource management, and database monitoring. Candidates are expected to demonstrate their knowledge of best practices for tuning database performance, as well as their ability to identify and resolve performance issues in Oracle Database 19c.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q15-Q20):

NEW QUESTION # 15
You execute the following:
EXECUTE DBMS_AuTO_TASK_ADMIN.DISABLE;
Which advisor remains enabled?

  • A. SQL Plan Management Evolve Advisor
  • B. Automatic Optimizer Statistics Collection
  • C. Automatic SQL Tuning
  • D. Automatic Segment Advisor
  • E. Optimizer Statistics Advisor

Answer: B

Explanation:
When you executeDBMS_AUTO_TASK_ADMIN.DISABLE, it disables all automated maintenance tasks related to the Auto Task framework. This includes tasks such as the Automatic SQL Tuning Advisor, Automatic Segment Advisor, and others. However, the Automatic Optimizer Statistics Collection (D) remains enabled as it is not part of the Auto Task framework. The gathering of optimizer statistics is controlled separately and is a critical part of the database's self-tuning mechanism to ensure the optimizer has up-to-date information about the data distribution within tables and indexes.
References
* Oracle Database 19c PL/SQL Packages and Types Reference - DBMS_AUTO_TASK_ADMIN
* Oracle Database 19c Database Administrator's Guide - Managing Optimizer Statistics


NEW QUESTION # 16
During which application lifecycle phase do you take baselines?

  • A. Testing
  • B. Deployment
  • C. Production
  • D. Design and development
  • E. Migration or upgrade

Answer: C

Explanation:
Baselines are typically taken during the production phase of the application lifecycle. They provide a snapshot of performance metrics under normal operating conditions which can be used for comparison against future performance. Baselines are essential for understanding how the system performs under its typical workload and for detecting deviations from this expected performance over time, especially after changes like migrations, upgrades, or significant changes in user activity.
References
* Oracle Database 19c Performance Tuning Guide - Managing Performance Through Baselines


NEW QUESTION # 17
18. The application provider has given full indications regarding the procedure to collect statistics.
To reduce the space used in the SYSAUX tablespace, you want to prevent the optimizer statistics Advisor from running.
Which method will allow you to do this?

  • A. Use DBMS STATS.DROP ADVISOR TASK to drop the AUTO_STATS_ADVISOR_TASK task.
  • B. Set the AUTO_STATS_ADVISOR_TASK global statistics preference to FALSE.
  • C. Set the parameter OPTIMIZER_ADAPTIVE_STATISTICS to FALSE.
  • D. Use DBMS_AUTO_TASK_ADMIN. DISABLE to disable the AUTO_STATS_ADVISOR_TASK task.

Answer: D

Explanation:
The Oracle Optimizer statistics advisor, which is part of the automated tasks framework, can be disabled using the DBMS_AUTO_TASK_ADMIN package. This will prevent it fromrunning and thus reduce space usage in the SYSAUX tablespace.References:
* Oracle Database PL/SQL Packages and Types Reference, 19c


NEW QUESTION # 18
Which two statements are true about the use and monitoring of Buffer Cache Hit ratios and their value in tuning Database I/O performance?

  • A. Both the RECYCLE and KEEP buffer caches should always have a very high cache hit ratio.
  • B. The performance of workloads that primarily generate full table scans and fast full index scans are always affected by the cache hit ratio.
  • C. The buffer cache advisory view v$db_cache_advice provides advice on cache hit ratios appropriate for the instance workload.
  • D. A 60% cache hit ratio can be observed for database instances which have very good I/O performance.
  • E. A 99% cache hit ratio can be observed for database instances which have very poor I/O performance.

Answer: C,E

Explanation:
A high buffer cache hit ratio typically indicates that the database is effectively using the buffer cache and does not often need to read data from disk. However, this metric alone is not a reliable indicator of the I/O performance of the database for several reasons:
* Full table scans and fast full index scans (A) can bypass the buffer cache by design if the blocks are not
* deemed reusable shortly, which can impact the cache hit ratio.
* A high cache hit ratio (B) can be misleading if the database performance is poor due to other factors, such as inefficient queries or contention issues.
* The buffer cache advisory (C) is a more valuable tool for understanding the potential impact of different cache sizes on the database's I/O performance. It simulates scenarios with different cache sizes and provides a more targeted recommendation.
* The RECYCLE and KEEP buffer caches (D) are specialized caches designed for certain scenarios.
While high hit ratios can be beneficial, they are not universally required; some workloads might not be significantly impacted by lower hit ratios in these caches.
* A lower cache hit ratio (E) does not necessarily mean poor I/O performance. In some cases, a system with a well-designed storage subsystem and efficient queries might perform well even with a lower cache hit ratio.
References
* Oracle Database 19c Performance Tuning Guide - Buffer Cache Hit Ratio
* Oracle Database 19c Performance Tuning Guide - v$db_cache_advice


NEW QUESTION # 19
Examine these statements and output:

What parameter change activates the generation and use of SQL Plan Directives7

  • A. optimizer_capture_sql_plan_baselines_TRUE
  • B. optimizer_adaptive_plans=TRUE
  • C. optimizer_features_enable=12.2.0.1
  • D. optimizer_adaptive_statistics = TRUE
  • E. optimizer_dynamic_sampling=11

Answer: D

Explanation:
The optimizer_adaptive_statistics parameter, when set to TRUE, enables the optimizer to use adaptive statistics, such as SQL Plan Directives, to help improve plans by automatically adjusting them based on the actual execution statistics.
References:
* Oracle Database SQL Tuning Guide, 19c


NEW QUESTION # 20
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